## 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.
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