About The Role
As a Senior Full-Stack Engineer at Normal Computing, you will play a key role in developing and maintaining our cutting-edge full-stack AI platform. You will be responsible for creating innovative, scalable, and high-performing software solutions that meet both the needs of our customers and the company's strategic objectives.
Depending on interest and skills, responsibilities could include:
Design, develop, and maintain high-quality, scalable software across the full-stack AI platform, and broader tooling, dashboarding, and infrastructure
Build UIs and web interfaces to develop, deploy, and visualize both next-gen AI models and applications, and Thermodynamic AI Hardware
Collaborate with cross-functional teams, including product managers, designers, and other engineers, to translate business requirements into technical solutions.
Optimize and enhance the performance, security, and maintainability of our software systems and infrastructure.
Stay informed of the latest industry trends and technologies, contributing to the continuous improvement and innovation of our platform.
Mentor and guide junior colleagues, fostering a collaborative, growth-oriented environment that encourages knowledge sharing and professional development.
Qualifications:
Bachelor's degree or higher in Computer Science, Engineering, or a related field.
4+ years of experience in full-stack software development, with a strong emphasis on web applications and cloud computing.
Proficiency in programming languages such as Python, JavaScript, or similar, and experience with modern frontend frameworks (React).
Solid understanding of backend technologies and frameworks, we use FastAPI.
Experience with database systems (SQL/NoSQL, embeddings) and data storage solutions.
Knowledge of containerization technologies (Docker, Kubernetes) and any cloud platform like GCP, AWS, Azure.
Strong understanding of software development best practices, such as version control (Git), CI/CD pipelines, testing, and code reviews.
Leadership and collaboration qualities, enthusiasm for real-world, responsible impact
Excellent problem-solving skills and the ability to troubleshoot and optimize complex systems.
Strong written and verbal communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.
Additional Information:
Normal Computing values diverse perspectives and experience. We encourage you to apply to this role if you feel you would be a good fit, even if you do not meet all of the requirements listed.
This role will receive a competitive salary + benefits + equity.
NY Base Pay Range: $160,000-$200,000
A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed above.
Normal Computing is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. Normal Computing is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email accommodations@normalcomputing.ai.
Normal is a New York-based deep-tech startup founded by former engineers from Google Brain, Alphabet X, and Palantir. Our investors include Celesta Capital, First Spark Ventures, Micron and former Google CEO Eric Schmidt. We engage with enterprise companies across various industries, including services, manufacturing, and the public sector, to deliver cutting-edge AI solutions.
We are on a mission to make AI universally scalable and useful.
Our products serve as critical full-stack infrastructure for our enterprise users in deploying AI into high-stakes applications. We are addressing the challenges of reliability, adaptivity, and auditability, which have traditionally been central barriers to adoption.
We believe that the untapped potential of AI to create transformative value remains to be fully realized. Thus far, AI has been subject to technological limitations such as unpredictable factual errors in generative AI (known as hallucinations) or lack of auditability as black-box models. Consequently, these limitations restrict the application of AI primarily to consumer-grade, low-stakes generative AI workflows and basic pattern recognition systems.
We envision that true transformative value can be unlocked in enterprise-grade, high-stakes AI workflows, where AI can reason reliably and autonomously, and understand its own limits. In these contexts, AI has the capacity to drive meaningful outcomes with real, complex impact.
Our approach involves redesigning AI systems from the ground up, contrasting other surface-level approaches. Our AI application development platform is powered by novel full-stack probabilistic machine learning infrastructure driven by thermodynamic physics. With Normal's probabilistic AI, we offer unprecedented control over reliability, adaptivity, and auditability to AI models, specifically tailored for critical and customer-specific enterprise workflows.
As we forge ahead with our mission, we are seeking passionate individuals eager to collaborate with our uniquely diverse and interdisciplinary team, and motivated by a workplace where the hardest problems remain to be solved.