About this role
Company Description
Atrisa (YC P26) builds AI agents for analog circuit design. We are building AI that takes a circuit from specification to layout, working with the simulators and design tools engineers use today.
Role Description
Full-time, hybrid in Bangalore.
- Train and fine-tune models for analog circuit design.
- Build reinforcement learning pipelines, simulation environments, reward functions, and evaluations grounded in circuit performance.
- Build agents that interact with circuit simulators and design environments, from setting up a run to interpreting results and choosing the next step.
- Build observability into agent runs. Detect and prevent failures, and design recovery paths when tools, simulations, or model decisions go wrong.
- Work with analog engineers to distill their design intuition into training data, models, and agent harnesses.
Qualifications
- At least 3 years of relevant AI / ML engineering experience, with hands-on model training or fine-tuning.
- Strong Python skills and experience with PyTorch or an equivalent framework.
- Experience building agents that call tools, manage state, and carry out multi-step tasks.
- Experience designing evaluations and debugging failures across models, data, and software.
- Familiarity with reinforcement learning, reward design, or training environments is a plus.
- Experience with analog circuits, EDA tools, SPICE, or scientific computing is a plus.