Founder - Head of AI
Gemstar Staffing Group is looking for a Founding Head of AI for an onsite position located in Palo Alto, CA.
Please send us your resume on our contact us page if you meet the skills below.
The Client: The client is building AI agents that automate semiconductor design flows. The client is building AI agents that shrink chip design from 3 years to 6 months. They just raised $4.5M pre-seed to solve the biggest bottleneck in chip design using AI.
Location: Palo Alto, CA (Onsite)
Salary Range: $300k -$500k base
Benefits: Usual FTE benefits + Equity (Meaningful Equity can push compensation package to 7 figures)
Visa Sponsorship: Can sponsor O1 and H1B visas
What we're looking for: We are looking for a world-class ML leader to architect and own our AI roadmap. This is a foundational role that will work closely with the founders to define the technical trajectory across our platform, including code generation, reinforcement learning, layout optimization etc. You'll lead a growing ML team and work cross-functionally to turn cutting-edge research into usable tools for chip engineers. You should bring deep expertise in ML for chip design, as well as leadership experience in high-performance engineering teams.
What you'll do:
Contribute to building the ML roadmap and research strategy for Architect across RTL and PD domains.
Architect and deploy novel agent-based systems, including fine-tuning models for RTL Code generation, physical design tasks automation and hardware problem reasoning.
Lead, mentor, and scale a team of top-tier ML engineers. Guide research direction, implementation standards, and modeling infrastructure.
Interface with hardware engineers to identify bottlenecks in chip design pipelines that ML can solve.
Stay ahead of state-of-the-art techniques in ML4EDA, agent orchestration, and model compression/deployment.
Qualifications:
5+ years of experience in pure machine learning at top-tier AI labs. Should prefer hands-on work over pure management/director-level candidates.
Experience leading high-performance engineering teams and shipping production-grade ML systems.
Code generation experience
Designed RL-based systems that improve performance under constrained, high-stakes environments
PhD preferred
Deep fluency in ML stack: Python, PyTorch, RL libraries, Transformers, MLOps.
Post-training, SFT (Supervised Fine-Tuning), and RL (Reinforcement Learning) expertise
Technical Leadership & System-Level Thinking
Please send us your resume on our contact us page if interested