Staff ML Research Engineer: Agent Evals & Post-Training

Nominal is seeking a Staff Research Engineer to shape how we measure and improve our agents and post-trained models for hardware-focused AI applications.

You will lead eval strategies, design benchmarks, and drive post-training activities such as fine-tuning and RL, with a focus on real hardware tasks and air-gapped environments where needed.

Join a fast-moving team bridging hardware and software, applying cutting-edge AI to transform hardware lifecycle workflows.