AI Research Engineer

NORMAL COMPUTING | BUILD WITH US Normal is an applied AI company solving the hardest problems in AI and silicon. We build foundational hardware and software for the semiconductor industry, critical AI infrastructure, and the broader systems that power our world, in partnership with the world's most advanced institutions. We work as one team across New York City, San Francisco, London, Copenhagen, and Pangyo. THE ROLE We’re hiring an AI Research Engineer to push the frontier of agentic LLMs and reinforcement learning for our agentic code generation tool. You’ll design and run experiments, build agents, curate datasets from complex technical documents (e.g., chip specifications), and create rigorous evaluations. You’ll write production‑quality research code and work closely with engineering to ship improvements to customers. Leadership not required—impact through research and building is. WHAT YOU WILL OWN - Design and implement multi‑agent and RL approaches for agentic code generation and tool‑use. - Build research prototypes that integrate with our agentic code generation tool; collaborate to productionize wins. - Create evaluation suites: task specs, pass/fail checkers, coverage, cost/latency dashboards. - Acquire and curate datasets from PDFs/logs/tables; generate synthetic data where appropriate; maintain data cards and licensing. - Analyze experiments with disciplined ablations; document results and decisions. - Stay current on LLM agents, RL (offline/online, RLHF/RLAIF), constrained decoding, and program synthesis.