Role Description:

Our mission is to enable hardware innovation at the speed of software development! We are working towards automatic code transpilation and optimization for any hardware application. Our work integrates cutting-edge methods in AI, formal verification, compilers, and much more.

In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in GenAI and RL.

Research Areas of Interest:

An incomplete list of ongoing and near-term research directions:

• Large-scale LLM post-training / finetuning
• RLHF, RLAIF, etc
• Decoding-time techniques for self-correction and repair
• Steerability, guided decoding, and constraint enforcement
• Code representations and similarity

Core Responsibilities:

• Help build robust, scalable infrastructure and tooling
• Contribute to core models and frameworks
• Design, execute, and analyze experiments
• Create high-quality datasets (both in-the-wild and generated)
• Perform literature reviews and implement new techniques from papers
• Contribute to publications and grant proposals
• Present at conferences, workshops, etc.

Requirements

Required Qualifications:

• Bachelor's degree in Computer Science or a closely related field
• At least one of the following: a) 1+ years in an AI research or product role (academic positions included, if full-time) with a track record of training and deploying deep learning models, or b) 3+ years in a full-stack software engineering role
• Comfortable programming in Python and familiar with frameworks such as PyTorch and HuggingFace (either professionally or as part of a side project)

Preferred Qualifications:

• Advanced degree in Computer Science or a closely related field
• Lead author publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc.
• Experience with large-scale LLM training, particularly in a distributed computing environment

Benefits

Competitive salary and benefits including:

• Health care plan (medical, dental, and vision)
• Retirement plan (401k, IRA) with employer matching
• Unlimited PTO
• Flexible hybrid work arrangement
• Relocation assistance for qualifying employees