What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster and more efficient. We seek mission-driven, highly skilled people with deep experience in fast paced, rapidly growing, tech development environments.

What Success Looks Like:

• Low-Voltage Electrical wiring for automotive, trucking or off-road vehicles.
• Manufacturing of harnesses for power and communication buses.
• Ability to work independently and turn high-level designs into functional systems.
• Perform both mechanical and electrical vehicle modifications.
• Ability to prototype solutions quickly and efficiently.
• Troubleshooting, support root cause analysis and rollout of corrective actions.
• Documentation of processes, procedures and results.
• Participate in validation and testing, including development of required resources and assets.
• Implement best practices in keeping a safe, clean and efficient working environment.
• Work collaboratively with Engineering, Operations, Logistics and other relevant departments.
• Familiarity with electrical systems in automotive or robotics applications.
• Familiarity with a broad range of manufacturing processes including rapid prototyping.
• Experience with vehicle electrical and electronics systems. Ideally including components for ADAS and Autonomous Vehicles.
• ASE Certification.
• Experience with medium/heavy trucks including diagnostic and repairs.
• High-Voltage Certification for Hybrid Electric or Battery Electric Vehicles.
• Familiarity with Autonomous vehicle sensors (Radar / Camera / Lidar) and their integration.
• Comfortable with Windows and Linux environments.
• Fabrication experience.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

What Success Looks Like:

• Build end-to-end data pipelines from raw data to visualizations
• Build a workflow orchestration platform to be used by other developers
• Partner with other development teams to build metrics pipelines
• Hands-on experience implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications, BI analytics, and ML pipelines.
• Experience designing optimized solutions for large datasets.
• Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale.
• Expert level in one of the following programming languages or similar- Python, Java, Go
• Working experience with BI tools like Apache Superset or Tableau
• Experience in designing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like)
• Working experience with data warehouses like (Greenplum, RedShift, Azure SQL Data Warehouse, etc.)
• Experience with data pipelines tools (Flink, Spark or like) and orchestration tools such as Airflow.
• Knowledge and experience designing solutions with cloud-native AWS Cloud services (EC2, EMR, RDS, EKS etc.) as well as deploying alternative solutions for appropriate use cases.
• Familiarity with cloud-native AWS Cloud services (EC2, S3, DynamoDB, EMR, RDS, EKS etc.) as well as deploying alternative solutions for appropriate use cases.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels to help in developing and deploying prediction and motion planning components for next-generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field state-of-the-art prediction and motion planning systems in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and a customer-centric obsession to deliver a compelling product.

What Success Looks Like:

• Be part of a team of engineers to develop state-of-the-art prediction and motion planning modules for self-driving vehicle systems.
• Own delivery of prediction and motion planning modules that solve on-vehicle problems and deliver for customer needs - meeting product requirements and meeting the needs of the controls system, providing a safe, smooth trajectory for the system to follow.
• Provide input in the technical direction for the team, and work cross-functionally to develop safe systems. This will include working closely with other teams such as perception, localization, and controls to ensure that the input to the prediction or motion planning modules is appropriate.
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Work closely with verification teams to ensure proper testing and validation of the prediction and motion planning modules. Make extensive use of unit testing, simulation, and log simulation to properly validate their work.
• Spend time on the vehicles to experience in person the efforts being worked.
• Provide input to team roadmaps and ensure product features are properly prioritized.
• Develop prediction and motion planning models for real time, resource constrained applications.
• Identify bottlenecks and limitations in system performance, and develop novel prediction and motion planning components to unlock new capabilities and ensure a reliable system.
• Be involved in experimentation, design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.
• Experience architecting, training, and deploying machine learned models.
• Experience building prediction or motion planning systems for real world applications with a strong understanding of the pros and cons of various approaches.
• Knowledge and experience with real-time algorithms, and machine learning approaches.
• Strong experience in software engineering and algorithm design.
• Fluent in C++.
• Experience with Python a plus.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels who can develop and deploy world-class solutions software for next-generation self-driving systems. The Deployment Platform team stands at the forefront of Stack AV's development lifecycle. This team is responsible for working with key stakeholders to package and transport Stack AV code to our vehicles and ensure software updates happen in a reliable, scalable, and traceable manner.

What Success Looks Like:

• Build and maintain a framework to be used for development and production to deliver updated software packages (code binaries, data, ML models, etc.) reliably via over-the-air updates to large volumes of vehicles.
• Design and build our deployment platform to seamlessly build and transfer large packages to targets in low bandwidth, or intermittent communication environments, with software gating to only transfer data when it’s appropriate for the vehicle.
• Build operations-facing tools that support the observability of the system.
• Build developer-facing tools such as command line interfaces, APIs, etc. to enable engineering productivity.
• Pair with stakeholders to roll out new hardware generations and mission critical updates.
• Experience with building and delivering large scale over the air deployment systems for commercial or consumer systems is highly desired. These need not be AVs, but should have the attributes of multi-faceted packages (e.g. code binaries, data), be performant, secure, robust and have scale.
• Personal or Professional experience when solving practical programming problems in Python, Go, and/or C++.
• Understanding of data transfer over cellular networks and how to make it reliable and performant even with risk of interruption.
• Excellent communication and people skills; you will be working cross functionally throughout many different teams within the company.
• Hands-on experience with Linux based Operating Systems and personal computing hardware.
• Experience with Bazel.
• Some web development experience.

What We're Looking For:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. The Machine Learning (ML) Infrastructure team is hiring for strong software engineers at all levels who can provide tools, workflows, datasets and other artifacts to support and accelerate machine learning efforts for Perception, Motion Planning, and other ML teams.

What Success Looks Like:

• Collaborate closely with ML modeling teams across Perception, Motion Planning, and other ML teams to define ML infrastructure requirements and build critical data services.
• Design and develop large scale data pipelines that transform sensor data from vehicles into consumable tool formats for ML modeling teams.
• Leverage MLOps best practices to design and develop scalable model training, evaluation, experimentation and deployment workflows.
• Use the latest cloud technologies to design, implement, and test scalable distributed data systems.
• In the first year, you will be responsible for getting the ML tools, datasets, pipelines running efficiently to enable large scale ML development across autonomy.
• Experience in ML training (local and distributed), feature extraction, dataset creation.
• Understanding of ML modeling and concepts around train/test/validation and ML modeling lifecycle.
• Strong programming skills in Python and C++.
• Familiarity with PyTorch, Numpy.
• Experience with large scale distributed systems and pipelines.
• Experience with cloud environment, storage and database management systems (AWS S3, Parquet).
• Experience with workflow systems such as Apache Airflow.
• Passion, Excellence and Safety are our key values. In this role, you will build high impact software and tools to move mission critical ML applications forward.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels to help in developing and deploying the motion control stack for next-generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field state-of-the-art motion control components in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and a customer-centric obsession to deliver a compelling product.

What Success Looks Like:

• Be part of a team of engineers to develop state-of-the-art, robust motion control modules for self-driving vehicle systems.
• Own delivery of the motion control components that solve on-vehicle problems and deliver for customer needs - providing a well-controlled vehicle experience.
• Provide feedback on the technical direction for the team, and work cross-functionally to develop safe systems. This will include working closely with upstream teams, especially planning and localization, to ensure that the motion control modules fit well with the system.
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Work closely with verification teams to ensure proper testing and validation of the motion control modules. Make extensive use of unit testing, simulation, and log simulation to properly validate their work.
• Spend time on the vehicles to experience in person the efforts being worked, and aid in tuning the control algorithms.
• Provide input to team roadmaps and ensure timely delivery of features.
• Develop motion control models for real time, resource constrained applications.
• Be involved in design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.
• Experience building motion control systems for real world applications with a strong understanding of the pros and cons of various motion control approaches.
• Knowledge and experience with real-time algorithms.
• Strong experience in software engineering and algorithm design.
• Fluent in C++.
• Experience with Python.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. The Calibration team at Stack is looking for highly motivated, independent, and passionate software engineers to build state-of-the-art multi-sensor calibration pipelines for automated driving in challenging environments. Multi-sensor calibration is central to developing robust and safe autonomy systems. In this role, you will have the unique hands-on opportunity to design and implement scalable, real-time, and robust multi-sensor calibration algorithms. You will also be able to collaborate closely with multiple autonomy and operation teams.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels to help in designing and developing the onboard infrastructure for the next-generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, collaborate, and build robust, scalable onboard infrastructure which are real-time and safety-critical for our self-driving vehicles. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and a customer-centric obsession to deliver a compelling product.

What Success Looks Like:

• Be part of a team of engineers to develop robust, scalable onboard infrastructure for our self-driving vehicle systems. This will include developing the core middleware that will accommodate multiple deep learning models and will be deployed on board, as well as in the cloud, for simulation, testing, and verification.
• Own delivery of various components of our onboard infrastructure and tooling, in partnership with teams in Autonomy, Cloud Simulation, and Safety to meet our product needs.
• Identify bottlenecks and limitations in system performance, and develop novel approaches to unlock new capabilities and ensure a reliable system.
• Strike a balance between performance, user experience, and maintainability for core components that are used across our product development organization.
• Constantly evaluate tradeoffs that need to be made in a resource-constrained environment, and work closely with hardware and firmware engineers to drive initiatives that enable our robotics middleware to maximize system capabilities.
• Participate in the design of our middleware APIs, to ensure that they are intuitive to use correctly, are performant, and ultimately stand the test of time.
• Experience building performance critical applications deployed in resource constrained environments, for use in real world applications with a strong understanding of the pros and cons of various approaches.
• Strong experience with C/C++.
• Strong understanding of the POSIX programming environment.
• Familiarity with software engineering and algorithm design and architecture patterns.
• Familiarity with concurrent and parallel programming.
• Familiarity with common tooling and libraries such as bazel, boost, abseil etc is a plus.
• Familiarity with Python.
• Experience with writing high performance code in Linux is a plus.
• Excellent communication and teamwork.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for high-caliber software engineers at all levels to help in developing libraries, tooling, and frameworks to instrument and optimize software that runs on board our self-driving systems. This role requires strong ownership of components within this area and deep collaboration with other teams developing onboard software. Candidates need to build instrumentation, tooling, and libraries that allow us to develop deep insights into the performance of our onboard components, both on the CPU and GPU, and help us reason about latencies, resource allocation, and budgets.

What Success Looks Like:

• Be part of a team of engineers who are responsible for the performance of our onboard infrastructure. This will include tooling, libraries, and instrumentation into all code that runs onboard, including CPU, GPU, and Network.
• Develop relationships and close partnerships with our Autonomy teams, and collaborate with them to deliver performance insights and optimizations that increase the robustness of our Deep Learning stack, and at the same time, open up more room for features.
• Enable data-driven budget allocation in a resource-constrained environment.
• Identify bottlenecks and limitations in system performance, and develop novel approaches to unlock new capabilities and ensure a reliable system.
• Strike balance between performance, user experience and maintainability for core components that are used across our product development organization.
• Experience building performance critical applications deployed in resource constrained environments either on CPU or GPU, for use in real world applications with a strong understanding of the pros and cons of various approaches.
• Strong experience with performance oriented C/C++ programming on Linux.
• Strong analytical skills, and track record for performance troubleshooting.
• Familiarity with CUDA or SIMD programming models a plus and GPU performance tooling a plus.
• Familiarity with linux performance tooling such as perf, ftrace and c a plus.
• Experience with inference optimization and instrumentation on edge platforms is a plus.
• Proven experience of working collaboratively to ensure functional correctness remains, and that optimizations improve the result for the “customer” teams.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. The onboard infrastructure team at Stack AV is hiring for strong software engineers at all levels who can take ownership of critical components, experiment, collaborate, and build robust, scalable onboard infrastructure that is real-time and safety-critical for their self-driving vehicles. The ideal candidate should have a mission-driven mindset to deliver a product that entails significant cross-functional interaction and customer centric obsession to deliver a compelling product.

What Success Looks Like:

• Be part of a team of engineers to develop robust, scalable onboard infrastructure for our self-driving vehicle systems.
• Develop, scale, and support the onboard deployment of our self-driving stack, and partner closely with our Cloud teams responsible for release management to ensure that our software packages and updates can be deployed reliably.
• Own automation of the deployment of various artifacts onboard.
• Ensure security, robustness, and reliability necessary for a safety-critical, self-driving vehicle product.
• Identify bottlenecks and limitations in both our system reliability and operational overhead, and partner closely with cross-functional teams to improve efficiency.
• Strike a balance between performance, user experience, and maintainability for our core onboard deployment workflow.
• Constantly evaluate tradeoffs that need to be made in a resource-constrained environment, and work closely with cross-functional teams, such as operations to both serve their needs and a roadmap for the team that aligns with broader product goals.
• Strong experience in Python, C/C++.
• Strong understanding of the POSIX programming environment and automation.
• Familiarity with Linux system administration and Systemd a plus.
• Familiarity with a package management system, nix, deb or yocto a plus.
• Familiarity with software engineering and algorithm design and architecture patterns.
• Excellent communication and teamwork.
• Large scale software lifecycle management is a plus.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong Computer Vision/Machine Learning engineers to develop, train, and deploy a state-of-the-art perception pipeline for our self-driving vehicles. We seek engineers with strong foundations coupled with a practical, product-focused mindset to produce a highly performant, real-time, safety-critical application.

What Success Looks Like:

• Work in a team to design and develop state-of-the-art perception systems for self-driving vehicle systems.
• Contribute to the technical direction of the team, and work cross-functionally to develop safe systems.
• Write software for perception models for real-time, resource-constrained applications.
• Develop and evaluate multimodal perception approaches for pushing performance and improving robustness.
• Identify bottlenecks and limitations in system performance, and develop novel perception components to unlock new perception capabilities and reliability.
• Drive experimentation, design, and iteration exercises, and align stakeholders with strong presentation and communication skills.
• Experience with architecting, training, and deploying Deep Learning Models.
• Experience with building perception systems using lidar, camera and/or radar data.
• Knowledge and experience of advanced probabilistic algorithms, real-time algorithms, and machine learning approaches.
• Experience with approaches to one or more perception problems, such as multi-object detection, panoptic segmentation, temporal detection, and tracking.
• Strong experience in software engineering and algorithm design.
• Fluent in Python.
• Experience with C++ or CUDA a plus.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels to help in developing and deploying simulation tooling for next-generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field robust, scalable simulation tooling for testing in real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and a customer-centric obsession to deliver a compelling product.

What Success Looks Like:

• Be part of a team of engineers to develop robust, scalable simulation tooling for testing self-driving vehicle systems. This will include simulation tooling for testing end-to-end autonomy, autonomy behavior, and log playback with simulation.
• Own delivery of simulation tooling components that provide rapid, scalable, repeatable, and robust simulation tooling that meets the needs of autonomy developers.
• Provide input to the technical direction for the team, and work cross-functionally to develop the simulation capabilities. This will include working closely with teams such as perception, prediction, planning, controls, and localization, to ensure that the inputs and outputs of the system are properly modeled, and that simulation features developed meet the immediate and long-term needs of the team.
• Identify bottlenecks and limitations in system performance, and develop novel approaches to unlock new capabilities and ensure a reliable system.
• Experience building simulation systems for real-world applications with a strong understanding of the pros and cons of various approaches.
• Knowledge and experience with scalable tools and algorithms.
• Strong experience in software engineering and algorithm design.
• Fluent in Python.
• Experience with C++ a plus.
• Experience with Carla and other simulators is a plus.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for strong software engineers at all levels to develop visualization tools for next generation self-driving systems. We are focused on building products that are used both by the autonomy teams to visualize their data and by vehicle operators to interact with the live self-driving systems. Candidates should have a strong sense for building User Interfaces that are both highly functional and highly pleasing to interact with. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and customer-centric obsession to deliver what those teams need.

What Success Looks Like:

• Design and implement tools to visualize logged data generated by the autonomy system.
• Design and implement tools to assist the vehicle operations team with operating the self-driving system.
• Work with the autonomy, operations, and product teams to understand and capture visualization requirements.
• Experience developing UIs for a variety of use cases that include high utility and pleasing interactions.
• GUI Toolkits, Qt is a plus.
• 3D Graphics, OpenGL, or higher-level wrappers.
• Strong Software Design and Engineering skills with an eye toward creating pleasing UI interfaces for a variety of consumers.
• C++ experience is highly desired.
• Experience using Emscripten to generate web applications from C++ is desirable but not required.
• Experience working effectively in a cross functional team comprising of product managers, UX designers.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for test engineers who can test software and hardware involved in monitoring and diagnostics functions, and in turn selection and execution of minimum risk maneuvers when faults are present in the system. These are safety-critical functions that need a high degree of engineering rigor to develop, including in our verification and validation approach. We are looking for test engineers who can develop thorough and practical test approaches to ensure the subsystem developed is ready to be incorporated into Stack’s autonomous truck.

What Success Looks Like:

• Understand the onboard hardware and software systems in place and being developed.
• Determine a test approach for monitoring and diagnostic functions. Consider how to construct tests that thoroughly evaluate the system and are also efficient in execution.
• Determine how to also test for off-nominal conditions, and consider exploratory testing to try to determine unexpected failure modes.
• Work with hardware and software teams to automate testing to the extent possible.
• Define test cases, and document in tooling.
• Execute tests and work with our test operations team.
• Deliver test reports.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for safety engineers to help develop safe, reliable, and performant self-driving systems for autonomous trucks that will perform long-distance transportation of goods. As a safety engineer, we need your expertise to analyze proposed designs from a hazard analysis perspective and work with hardware and software teams to identify technical approaches, designs, and test strategies. As an early-stage startup, in addition to developing the product, we must also design and implement our engineering processes that will be used to develop our product with the supporting safety pedigree.

We are mission-driven to develop, test, and field a product quickly that solves our customers’ needs, while also conducting that development to the high degree of engineering rigor necessary for autonomous vehicles operating on public roadways. Particularly in safety engineering roles, we are looking for candidates who can work in a highly cross-functional environment and think holistically about a complex system of systems. For self-driving, this role requires proven skills with traditional safety engineering approaches, but also the ability to develop new practical approaches for Safety Of The Intended Function (SOTIF) and how to validate real-world AI systems.

What Success Looks Like:

• Analyze software designs, from a holistic system design, hazard analysis, and safety standpoint.
• Analyze hardware designs, with a strong focus on electrical considerations, from a holistic system design, hazard analysis, and system safety standpoint. Hardware designs range across sensors, computing, actuators, and vehicle equipment.
• Analyze system, hardware, and software designs to identify fault conditions and identify strategies to: mitigate faults; detect and annunciate faults; and execute minimum risk maneuvers.
• Develop detailed safety requirements.
• Contribute to development of the safety case for the complete system and help ensure it is comprehensive and complete.
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on safety engineering topics.
• Apply subject matter expertise of standards such as ISO-26262, ISO 21448 (SOTIF), and UL 4600 in the development of on-road autonomous vehicles.
• SOTIF FocusDevelop robust, scalable, practical approaches to rigorously validate that the system makes safe decisions given the context in non-fault scenarios Build and maintain SOTIF scenario ontologiesIdentify and implement methodologies for discovery of new/unique scenarios from on-road test dataDevelop and guide simulation scenario generation and test plans for evaluating system performance against SOTIF scenario ontologies.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for software engineers to help design, implement, and test software for two areas of the autonomous vehicle. First, the system of onboard monitors and diagnostics that will detect off-nominal conditions in the system. These off-nominal conditions may be purely software or hardware-related or a result of complex iterations in the system. Second, in response to detected off-nominal conditions, determine a response (referred to as a minimum risk maneuver) in order to achieve a safe state (referred to as the minimum risk condition) in the presence of faults.

For this role, software development will require strong fundamentals in software and hardware topics, will require working in a highly cross-functional environment, and given the application will require software engineering activities to be conducted to a high degree of rigor necessary to contribute to an autonomous truck operating on-road.

What Success Looks Like:

• Work cross-functionally with various software and hardware teams to identify faults in the system, and determine strategies to detect them. This may require new hardware and software, or leveraging existing. Collaborate with systems and safety engineers to ensure full coverage of monitoring and diagnostic functions.
• Develop a framework for monitors and diagnostics, with patterns and libraries that can be applied across the system for fault detection and notification.
• Help develop approaches to verify and validate monitoring and diagnostic software.
• Design a software system for analyzing fault conditions and selecting an appropriate minimum risk maneuver from a systems and safety perspective.
• Develop software to interface with autonomy software to execute execution of the selected minimum risk maneuver to completion.
• Apply expertise in developing hard real-time, safety significant C/C++ software in mission critical systems.
• Apply expertise in developing software for systems that must be compliant with ISO-26262 or similar.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for systems engineers to help develop safe, reliable, and performant self-driving systems for autonomous trucks that will perform long-distance transportation of goods. As systems engineers, we need your expertise to help understand and map product requirements to detailed safety and functional engineering requirements and work with functional hardware and software teams to develop technical approaches, designs, and test strategies. As an early-stage startup, in addition to developing the product, we must also design and implement our engineering processes that will be used to develop our product with the supporting systems and safety pedigree.

We are mission-driven to develop, test, and field a product quickly that solves our customers’ needs, while also conducting that development to the high degree of engineering rigor necessary for autonomous vehicles operating on public roadways. Particularly in systems engineering roles, we are looking for candidates who can work in a highly cross-functional environment, think holistically about a complex system of systems, and have a customer-centric obsession.

What Success Looks Like

• Work with Product stakeholders to understand product requirements necessary for a commercially successful product and help develop detailed safety and functional engineering requirements that will result in a system that meet the necessary product objectives to be successful in the market.
• Develop requirements that are practical, complete, and testable.
• Identify and develop practical approaches for testing the system and components thereof.
• Conducting root cause analysis to determine underlying causes of issues and faults.
• Select and bring online tools and frameworks for conducting systems engineering tasks and work products.
• Apply subject matter expertise of standards such as ISO-26262, ISO 21448 (SOTIF), and UL 4600 in the development of on-road autonomous vehicles.
• Guide and mentor systems and safety engineers embedded in functional teams. Review work products and fill in gaps.
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on systems engineering topics.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for a Technical Lead Manager to build up a team of data engineers to develop and deploy world-class solutions software for next-generation self-driving systems.

What Success Looks Like:

• Lead a team of data engineers to build algorithm-heavy data pipelines.
• Build end-to-end data pipelines from raw data to visualizations.
• Build a workflow orchestration platform to be used by other developers.
• Partner with other development teams to build metrics pipelines.
• Aid in setting the overall vision and core data infrastructure for the company.
• Experience leading a team as a technical lead or manager.
• Hands-on experience implementing data pipeline infrastructure for data ingestion and transformation near real-time availability of data for applications, BI analytics, and ML pipelines.
• Experience designing optimized solutions for large datasets.
• Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro), and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale.
• Expert level in one of the following programming languages or similar- Python, Java, Go.
• Working experience with BI tools like Apache Superset or Tableau.
• Experience in designing data streaming and event-based data solutions (Kafka, Kinesis, SQS/SNS or the like).
• Working experience with cloud-based data warehouses like (Greenplum, RedShift, Azure SQL Data Warehouse, etc).
• Experience with data pipelines tools (Flink, Spark or like) and orchestration tools such as Airflow.
• Knowledge and experience designing solutions with cloud-native AWS Cloud services (EC2, EMR, RDS, EKS etc.) as well as deploying alternative solutions for appropriate use cases.
• Familiarity with cloud-native AWS Cloud services (EC2, S3,DynamoDB,EMR, RDS, EKS etc.) as well as deploying alternative solutions for appropriate use cases.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for an experienced software engineering leader to guide a team in designing, implementing, and testing software for two areas of the autonomous vehicle. First, the system of onboard monitors and diagnostics will detect off-nominal conditions in the system. These off-nominal conditions may be purely software or hardware related or a result of complex iterations in the system. Second, in response to detected off-nominal conditions, determine a response (referred to as a minimum risk maneuver) in order to achieve a safe state (referred to as the minimum risk condition) in the presence of faults.

For this role, software development will require strong fundamentals in software and hardware topics, will require working in a highly cross-functional environment, and given the application will require software engineering activities to be conducted to a high degree of rigor necessary to contribute to an autonomous truck operating on-road.

What Success Looks Like:

• Build and lead a functional safety team
• Own delivery of the team’s work products and support the team in filling in gaps.
• Work with Technical Program Management (TPM) to develop plans and report on status.
• Work cross-functionally with various software and hardware teams to identify faults in the system, and determine strategies to detect them. This may require new hardware and software, or leveraging existing. Collaborate with systems and safety engineers to ensure full coverage of monitoring and diagnostic functions.
• Develop a framework for monitors and diagnostics, with patterns and libraries that can be applied across the system for fault detection and notification.
• Help develop approaches to verify and validate monitoring and diagnostic software.
• Design a software system for analyzing fault conditions and selecting an appropriate minimum risk maneuver from a systems and safety perspective.
• Develop software to interface with autonomy software to execute execution of the selected minimum risk maneuver to completion.
• Apply expertise in developing hard real-time, safety significant C/C++ software in mission critical systems.
• Apply expertise in developing software for systems that must be compliant with ISO-26262 or similar.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for an experienced safety engineering lead to help develop safe, reliable, and performant self-driving systems for autonomous trucks that will perform long-distance transportation of goods. As a safety engineer, we need your expertise to analyze proposed designs from a hazard analysis perspective and work with hardware and software teams to identify technical approaches, designs, and test strategies. As a technical leader, we need your experience and vision to help chart the course for developing safe autonomous vehicles on the road. As an early-stage startup, in addition to developing the product, we must also design and implement our engineering processes that will be used to develop our product with the supporting safety pedigree.

We are mission-driven to develop, test, and field a product quickly that solves our customers’ needs, while also conducting that development to the high degree of engineering rigor necessary for autonomous vehicles operating on public roadways. Particularly in safety engineering roles, we are looking for candidates who can work in a highly cross-functional environment and think holistically about a complex system of systems. For self-driving, this role requires proven skills with traditional safety engineering approaches, but also the ability to develop new practical approaches for Safety Of The Intended Function (SOTIF) and how to validate real-world AI systems.

What Success Looks Like:

• Build and lead a core safety engineering team.
• Help build a distributed team of embedded safety engineers on functional teams.
• Own delivery of the team’s work products and support the team in filling in gaps across product development.
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on safety engineering topics.
• Lead and guide design reviews.
• Work with Technical Program Management (TPM) to develop plans and report on status.
• Analyze software and hardware designs, from a holistic system design, hazard analysis, and safety standpoint.
• Develop detailed safety requirements.
• Lead the team in development of the safety case for the complete system, ensuring it is comprehensive and complete.
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on safety engineering topics.
• Apply subject matter expertise of standards such as ISO-26262, ISO 21448 (SOTIF), and UL 4600 in the development of on-road autonomous vehicles.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for a lead to build up a team developing and deploying simulation tooling for next-generation self-driving systems. This requires strong ownership over critical components. Candidates need to understand, experiment, improve, and field robust, scalable simulation tooling for testing real-time, safety-critical applications. We are focused on building a product. Candidates should have a mission-driven mindset to deliver a product, which entails significant cross-functional interaction, and a customer-centric obsession to deliver a compelling product.

What Success Looks Like:

• Build and lead a team of engineers to develop robust, scalable simulation tooling for testing self-driving vehicle systems. This will include simulation tooling for testing end-to-end autonomy, autonomy behavior, and log playback with simulation.
• Own delivery of simulation tooling that provides rapid, scalable, repeatable, and robust simulation tooling that meets the needs of autonomy developers.
• Set the technical direction for the team, and work cross-functionally to develop the simulation capabilities. This will include working closely with teams such as perception, prediction, planning, controls, and localization, to ensure that the inputs and outputs of the system are properly modeled, and that simulation features developed meet the immediate and long-term needs of the team.
• Work closely with systems engineers to ensure the simulation tooling provides an environment for ensuring the safety and functionality of the autonomy system.
• Work closely with autonomy teams to ensure that a viable product is delivered.
• Manage team roadmaps and ensure product features are properly prioritized.
• Identify bottlenecks and limitations in system performance, and develop novel approaches to unlock new capabilities and ensure a reliable system.
• Drive experimentation, design and iteration exercises, and align stakeholders by using strong presentation and communication skills.
• Experience with strong, hands-on leadership of a team of engineers.
• Experience building simulation systems for real world applications with a strong understanding of the pros and cons of various approaches.
• Knowledge and experience with scalable tools and algorithms.
• Strong experience in software engineering and algorithm design.
• Fluent in Python.
• Experience with C++ a plus.
• Experience with Carla and other simulators is a plus.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

Specifically, we are looking for an experienced systems engineering lead to help develop safe, reliable, and performant self-driving systems for autonomous trucks that will perform long-distance transportation of goods. As systems engineers, we need your expertise to help understand and map product requirements to detailed safety and functional engineering requirements and work with functional hardware and software teams to develop technical approaches, designs, and test strategies. As a technical leader, we need your experience and vision to help chart the course for developing safe autonomous vehicles on the road.

As an early-stage startup, in addition to developing the product, we must also design and implement our engineering processes that will be used to develop our product with the supporting systems and safety pedigree.

We are mission-driven to develop, test, and field a product quickly that solves our customers’ needs, while also conducting that development to the high degree of engineering rigor necessary for autonomous vehicles operating on public roadways. Particularly in systems engineering roles, we are looking for candidates who can work in a highly cross-functional environment and think holistically about a complex system of systems. For self-driving, this role requires proven skills with traditional systems engineering approaches, but also the ability to develop new practical approaches to enable bringing state-of-the-art technology to market.

What Success Looks Like:

• Build and lead a core systems engineering team
• Help build a distributed team of embedded systems engineers on functional teams
• Own delivery of the team’s work products and support the team in filling in gaps across product development
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on systems engineering topics
• Lead and guide design reviews
• Work with Technical Program Management (TPM) to develop plans and report on status
• Work with Product stakeholders to understand product requirements necessary for a commercially successful product and help develop detailed safety and functional engineering requirements that will result in a system that meet the necessary product objectives to be successful in the market
• Develop requirements that are practical, complete, and testable
• Identify and develop practical approaches for testing the system and components thereof
• Conducting root cause analysis to determine underlying causes of issues and faults
• Select and bring online tools and frameworks for conducting systems engineering tasks and work products
• Apply subject matter expertise of standards such as ISO-26262, ISO 21448 (SOTIF), and UL 4600 in the development of on-road autonomous vehicles
• Provide guidance, subject matter expertise, and mentorship to the broader product development organization on systems engineering topics

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven people in all operations roles from managing people, to managing annotation pipelines, to testing autonomous vehicles. Candidates with deep operations experience who are able to rapidly adapt to new problems and domains and who know how to work in teams to bring structure and efficiency are highly desired. Candidates who have experience working with engineering in new product development are desired.

What Success Looks Like:

• Operate an autonomous truck, testing the autonomous system as a whole.
• Perform the daily operations and testing of the autonomous vehicles within the development fleet.
• Function within and contribute to a culture of safety, safeguarding the reputation of our company and industry.
• Participate in pre- and post-shift briefings as needed, receiving, processing, and - when necessary - challenging the information required for safe development, testing, and operating of our technology.
• Conduct pre-mission vehicle inspections and checklists, completing documentation that proactively ensures platform readiness and safety.
• Safely and compliantly log hours working with and on our development fleet of autonomous vehicles.
• Continuously improve the autonomy product by executing stress testing and generating concise reports.
• Provide clear, actionable, and effective feedback on system/vehicle performance and behaviors by way of daily stand-ups and syncs with team members, management, and leadership.
• Demonstrate effective execution of missions, balancing quality with deliberate attention to detail.
• Demonstrate efficient time-management skills, balancing meaningful work units with respect to time.
• Perform other related and operations-critical duties as assigned by management.
• Maintain a current Class A Commercial Driver’s License (CDL).
• A clean driving record, capable of clearing a Motor Vehicle Record (MVR) background check.
• Strong communication and interpersonal skills with the ability to function in a fast-paced environment.
• Functional understanding of business computing systems (PC/Mac/Linux).
• Thorough understanding and application of OSHA, DOT, FMCSA regulations with a functional understanding of commercial vehicle equipment and inspection including Electronic Logging Devices (ELD).
• Travel based from the work location above (Pittsburgh, PA), intermittent to regular up to 50%.
• Experience operating commercial motor vehicles, preferably Class 8 trucks.
• Experience operating any class or type of SAE L2-4 autonomous vehicle.
• Experience with Driver Monitoring Systems (DMS) and applying the information provided.
• Additional qualification could include but are not limited to additional CDL-related endorsement, trainings/train-the-trainer, other autonomous industry certifications, or additional technical training.
• Experience working with virtual carriers, digital brokers, and/or any smartphone apps for owner operators.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. As a Training Specialist, you will contribute to the development, facilitation, and evaluation of our autonomous vehicle training program as well as frequently operate and test our autonomous vehicles on both public roads and closed courses. You will serve as an ambassador for safe operations, providing feedback on autonomous system performance and behaviors, while helping to produce the next generation of Operation Specialists. The ideal candidate should have a mission-driven mindset to deliver a product that entails significant cross-functional interaction and customer centric obsession to deliver a compelling product.

What Success Looks Like:

• Function within and contribute to a culture of safety, safeguarding the reputation of our company and industry.
• Facilitate and evaluate the efficacy of Operations training programs, including certification and endorsement programs, continuous education and remediation initiatives, and day-to-day coaching experiences.
• Contribute to the development and refinement of all Operations training programs, working in collaboration with members of the Operation Performance Management team and various cross-team stakeholders and subject matter experts.
• Collaborate with operational leaders to support the onboarding and continued development of Operational Specialists and those who operate our vehicles and self-driving system.
• Operate and test a vehicle equipped with autonomous systems on both closed courses and public roads.
• Participate in weekly team meetings and collaboratively work on team projects whenever assigned.
• Participate in pre- and post-shift briefings to receive information required for safe development, testing and operating of our technology.
• Conduct pre- and post-trip vehicle inspections and checklists, completing documentation that proactively ensures platform readiness and safety.
• Provide clear, actionable and effective feedback on system/vehicle performance and behaviors by way of daily stand-ups and syncs with team members, management and leadership.
• Demonstrate effective execution of missions, balancing quality with deliberate attention to detail.
• Demonstrate efficient time-management skills, balancing meaningful work units with respect to time.
• Perform other related and operations-critical duties as assigned by management.
• Experience in on-the-job performance evaluation as well as providing both written and verbal constructive feedback.
• Maintain a current Class A Commercial Driver’s License (CDL) with air brakes endorsement, with a minimum of 2 years of driving experience.
• A clean driving record, capable of clearing a Motor Vehicle Record (MVR) background check.
• Thorough understanding and application of OSHA, DOT, FMCSA regulations with a functional understanding of commercial vehicle equipment and inspection including Electronic Logging Devices (ELD).
• Strong communication and interpersonal skills with the ability to function in a fast-paced environment.
• Functional understanding of business computing systems (PC/Mac/Linux).
• Travel based from the work location above (Pittsburgh, PA), intermittent to regular up to 50%.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

With customers at its core, Stack AV is focused on revolutionizing the way businesses transport goods, designing solutions to alleviate long-standing issues that have plagued the trucking industry including driver shortages, lagging efficiency in uptime per vehicle, overarching safety concerns, high operating costs, and elevated emission levels. By building safe and efficient autonomous trucking solutions, Stack AV is creating better and smarter supply chains for its partners, improving business outcomes for its customers, delivering goods to end-users faster, and ultimately moving the trucking industry forward.

What Success Looks Like:

• Perform operations and testing of the autonomous vehicles within the development fleet.
• Execute needed testing at all of our facilities and public roadways.
• Work closely with CDL drivers and engineers to ensure alignment of test reporting and distribution.
• Work with limited oversight to handle multiple test sets and tasks simultaneously.
• Compose clear and concise written feedback for targeted test summaries and reports.
• Demonstrate effective communication skills and an ability to coordinate with internal/external teams to ensure a complete understanding of mission responsibilities.
• Function within and contribute to a culture of safety, safeguarding the reputation of our company and industry.
• Participate in pre- and post-shift briefings as needed, receiving, processing, and - when necessary - challenging the information required for safe development, testing, and operation of our technology.
• Safely and compliantly log hours working with and on our development fleet of autonomous vehicles.
• Continuously improve the autonomy product by executing stress testing and generating concise reports.
• Provide clear, actionable and effective feedback on system/vehicle performance and behaviors by way of daily stand-ups and syncs with team members, management and leadership.
• Demonstrate effective execution of missions, balancing quality with deliberate attention to detail.
• Demonstrate efficient time-management skills, balancing meaningful work units with respect to time.
• Perform other related and operations-critical duties as assigned by management.
• Experience operating and/or testing any class or type of SAE L2-4 autonomous vehicle.
• A clean driving record, capable of clearing a Motor Vehicle Record (MVR) background check.
• Strong communication and interpersonal skills with the ability to function in a fast-paced environment.
• Functional understanding of business computing systems (PC/Mac/Linux).
• Thorough understanding and application of OSHA, DOT, FMCSA regulations with a functional understanding of commercial vehicle equipment and inspection including Electronic Logging Devices (ELD).
• Travel based from the work location above (Pittsburgh, PA), intermittent to regular up to 50%.
• Experience executing test plans in the realms of perception, prediction, motion planning, motion control, data ingest and software deployment.
• Experience with Driver Monitoring Systems (DMS) and applying the information provided.
• Additional qualification could include but are not limited to additional CDL- related endorsement, trainings/train-the-trainer, other autonomous industry certifications, or additional technical training.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments. We are looking for candidates in all roles including Product Development and Engineering, Operations and General & Administrative.

Work location will be flexible / remote, while others will be in the Pittsburgh area. We offer premier health benefits, and an opportunity to work alongside industry veterans from the autonomous vehicle industry.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

What Success Looks Like:

• Develop highly scalable applications that have complex frontend and backend needs
• Develop base microservice architecture and end-to-end release strategy
• Develop and maintain local development stack
• Promote best practices and aid in maintaining high code standards
• Work cross-functionally with various engineering and product teams to build solutions
• Mentor and build relationships with other engineers on the team and outside the team
• Experience with Java, Kotlin, Go, or other object-oriented languages
• Familiarity with frontend development in Typescript and React
• AWS experience, or similar cloud based offerings
• Experience with with queuing and event streaming solutions such as SQS, SNS or Kafka
• Experience with with SQL and NoSQL databases such as Postgres or Elasticsearch, and caching solutions such as Redis or Memcached
• Experience with unit and integration testing frameworks
• Building observability as part of the application
• Experience with containerized solutions such as Docker, Tilt or Kubernetes
• Familiarity CI / CD tools experience like Jenkins, etc

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

What Success Looks Like:

• Take a leading role in hardware architecture, design definition, evaluation of sensors, and development and integration of sensor and compute systems.
• Evaluate Camera, Radar, and Lidar sensor HW for use in an autonomous vehicle system. Characterize performance, test sensors, and integrate into a system.
• Perform schematic design reviews, board layout reviews, signal/power integrity reviews, and bring-up, and debug of integrated hardware and software systems.
• Collaborate with cross-functional teams to support the product development, bring up, debug, and release to production.
• Develop functional specifications, procedures, and other documentation required for defining, selecting, and integrating hardware into self-driving vehicles.
• Evaluate automotive electronics modules and suppliers; perform supplier design reviews.
• Support automotive functional safety activities, review DFMEAs, and review worst-case circuit analysis.
• Support and review EMC/EMI/ESD testing, thermal / reliability testing, hardware verification, validation, and bringup.
• Work with a wide variety of interfaces such as but not limited to: GMSL2, 100/1000BASE-T1, SERDES, I2S, A2B, CAN, etc.
• Travel required to visit vehicle bringup and test facilities for hardware debug and initial integration as well as to visit the facilities of suppliers, manufacturers, and OEM partners.
• Experience working through an entire product development cycle of a custom HW design; you’ve “shipped a product”.
• Familiarity with electrical schematic capture, layout, and release tools (ODB++, Gerber files, Mentor Graphics, etc).
• Familiarity and basic experience with electrical debug and test equipment; ie: oscilloscopes, multimeters, logic analyzers, JTAG tools, etc.
• Basic knowledge of embedded software concepts. Should be comfortable performing debug and bring-up in conjunction with software teams, comfortable using scripts, and Linux based OSes.
• A positive and self-driven individual, who is detail oriented, responsible, and desires to challenge themselves by learning new skills or technologies.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

What Success Looks Like:

• Design mechanical solutions to integrate sensors and computers into autonomous vehicles.
• Transition mechanical designs to prototype houses and mechanical manufacturing facilities.
• Test and qualify mechanical designs for use on road vehicles.
• Design cooling solutions for electronics and review thermal analysis.
• Evaluate and specify supplier component designs, requirements, and test plans.
• Take technical ownership of a hardware delivery through the full development cycle.
• Work XF with a team of stakeholders to define requirements, architecture, and system design.
• Present mechanical solutions to cross functional teams.
• Architect and greenfield novel solutions for mechanical and electronic integration into vehicles.
• Collaborate with suppliers and OEM partners on designs and solution sets.
• Perform sensor field of view analysis, and static / dynamic tolerance simulations.
• Travel required to visit vehicle bringup and test facilities for hardware debug and initial integration as well as to visit the facilities of suppliers, manufacturers, and OEM partners.
• Proficient in CATIA, Solidworks, or an equivalent design tool.
• Experience with in specifying acceptable mechanical tolerancing limits.
• Experience with PLM tools and document revision control.
• Familiarity with a broad range of manufacturing processes.
• Experience working through an entire product development cycle of a HW design; you’ve “shipped a product”.