Semiconductor chips are the driving force behind the modern technology-driven world. They power everything from cars to rockets, sensors to servers, and have a crucial role to play in several major industries, making the $1T semiconductor industry a vital component of the global economy. However, designing modern semiconductor chips is a costly, engineering-intensive process, further worsened with archaic tools. With the rising complexity of chips, time and cost to market continues to rise.

To address this, we're reimagining how chips are designed using modern advancements in AI to reduce time/cost to market dramatically. With a growing number of organizations designing their own chips and the rising consumption of semiconductors in day-to-day life, the work you will do will significantly impact the lives of many. We are super excited about what we are building; come join us!

What are we looking for?

We are looking for an exceptional Applied Research Engineer to join our founding team and contribute to improving our in-house large language models (LLMs). In this role, you will apply cutting-edge techniques to fine-tune LLMs and implement novel ways to improve their performance on our target applications.

This is a unique opportunity to work at the forefront of LLMs while surrounded by exceptional researchers and builders at AI2. As a founding member of a rapidly growing startup, you will significantly impact the product and shape its future. We offer competitive pay, benefits, and equity, and believe this position will be fulfilling for you.

Ideal Candidate

Several years of full-time experience in applied ML roles, preferably in a fast-paced environment like early-stage startups.

Non-negotiable

• Deep passion for technology. Self-driven individual with a sense of urgency
• Detail oriented and a strong desire to build high-quality customer-focused products

Requirements

• Prior experience in fine-tuning large language models required
• Experience in building diverse and high-quality datasets
• Strong programming skills in Python
• Familiarity with deep learning frameworks such as TensorFlow or PyTorch
• Exposure to or active participation in the latest research and advancements in NLP

Preferences

• Experience in code generation with LLMs
• Experience setting up infrastructure for training large deep-learning models

Not Necessary

• Experience in chip design is NOT necessary

ABOUT US

We are a small but passionate group with a mission to dramatically reduce the time, cost, and engineering effort needed to build complex silicon chips. Our founding team comprises of experts in chip design, AI, and modern software stacks. In past lives—we were researchers, engineers, and leaders at major chip design/AI companies like Qualcomm, Nvidia, Facebook, Google, etc. We also count the Paul Allen Institute for AI as a co-founder, one of the world’s leading A.I. research institutions. We recently raised a pre-seed funding round and are moving fast to build for our customers.

WHY JOIN

As a funded startup, we also have several unique benefits that you can’t really get anywhere else:

• Personal impact — The opportunity to build something from the ground up and define a new product for an industry that is at the core of the modern technological revolution.
• Access to unique learning opportunities — With the Allen Institute for AI (AI2) as a co-founder, our team gets access to numerous talks by leading AI researchers/paper authors, knowledge sharing amongst the community of hundreds of engineers working for AI2 companies, and much more. As a part of the multi-disciplinary team, you get to interact with people from very different backgrounds (from chip design to AI to software engineers).
• Founding title — You will be one of our first hires. For the rest of our days, no matter how many thousands of people join after you, you will always have that honor and distinction.
• Early-stage equity — Early-stage risk comes with early-stage equity for you. And none of us would be here if we didn’t think our company would create tremendous value over time.
• Benefits — In spite of being an early-stage company, taking care of our team is a priority for us. From health insurance to catered lunches, we continue to add unique benefits.