Lead AI Engineer, Model Training & Evaluation

Chipforge is an agentic AI company focused on autonomous chip design and verification. The Lead AI Engineer will own the training, fine-tuning, evaluation, and infrastructure for the company’s model family, while setting technical direction and collaborating with model engineers, hardware and EDA experts, and customer-facing teams.

Responsibilities:

• Own the day-to-day training and fine-tuning of our model family, including post-training with rewards drawn from simulation, lint and synthesis results, alongside preference-based methods where they fit
• Run the loop from evaluation to improvement: analyse where our models fail, target those weaknesses with verified synthetic data, and measure whether each change actually helped
• Set the evaluation standard our models are measured against, extending our existing benchmarks for RTL generation and verification
• Own the policy for training data quality and contamination control, setting the standards our data pipeline must meet and making sure benchmark results stay clean and credible
• Train our models to use EDA tools and design workflows reliably, working with the agent team on the interfaces those models call
• Run the training and inference infrastructure our models use, making pragmatic build-versus-fine-tune-versus-buy calls appropriate to a lean, resource-constrained team
• Work with Chipforge's hardware and EDA domain experts to encode verification and design knowledge into training data and evaluation criteria
• Convert research ideas into production-ready features on a realistic delivery timeline, partnering with customer-facing teams to turn field feedback into priorities
• Work closely with our existing model engineering team, setting technical direction across training and evaluation
• Keep across relevant LLM and agentic-AI research and bring anything genuinely useful into our model roadmap