Bronco Ai

Job Summary:
Bronco AI is focused on advancing chip development through AI agents that enhance chip verification and design processes. The Founding AI Engineer will be responsible for developing the core intelligence for these agents, including designing training pipelines and improving decision-making through reinforcement learning.
Responsibilities:
• Design and implement post-training pipelines for domain-specific model behavior across DV tasks — testbench generation, bug triage, coverage closure
• Develop reinforcement learning setups, including reward modeling and RLHF/RLAIF pipelines, to improve agent decision-making on long-horizon verification tasks
• Build tool interfaces, scaffolding, and execution harnesses that allow models to interact reliably with EDA environments and RTL artifacts
• Iterate with silicon domain experts and customers to encode verification knowledge into training data, reward signals, and evals that measure real agent capability — not proxy metrics
• Stay current with frontier research in LLM reasoning, RL for agents, and tool use — and bring what's relevant into production
Qualifications:
Required:
• You have shipped agentic AI systems that work in the real world
• Experience at an industry research lab, as a past founder, or as a founding engineer at an AI startup
• Deep hands-on experience with post-training: RLHF, DPO, or equivalent
• Experience designing evaluation frameworks for LLM or agentic systems
• Strong proficiency in Python and PyTorch
Preferred:
• Background in Electrical or Computer Engineering
• Familiarity with chip design and verification workflows
• Experience with EDA tools (Synopsys, Cadence, Questa, etc.)
• Publications at NeurIPS, ICLR, ICML, DAC, ICCAD, or DVCon
Company:
Bronco AI is an intelligent integration layer across your legacy IT so you can get things done Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.