Teams at Nominal

Own long-term success for a portfolio of technical B2B customers, from implementation through renewal and expansion. Build change-management and adoption strategies, align executives on measurable outcomes, lead business reviews, quantify ROI, manage account health, and identify growth opportunities. Partner with internal engineering and product teams to improve customer outcomes and develop the post-sale engagement playbook. The role requires technical fluency, project management, metrics-driven decision-making, executive communication, and up to 50% travel.

Lead the Hardware Intelligence research agenda, developing AI agents that reason over hardware data, operate engineering tools, connect simulations with physical tests, and coordinate across systems. Build RL environments, verifiers, and post-training methods; deploy models on-device, on-premises, and in air-gapped environments; establish benchmarks; and hire and mentor researchers. The role requires setting technical direction, conducting statistically rigorous experiments, and delivering research that improves shipped products.

Research Engineer improving AI agents for hardware engineering through evaluations, grounded training data, graders, post-training, reinforcement learning, and reproducible research infrastructure. The role investigates agent failures on real hardware tasks, develops benchmarks and verification systems, prototypes agent capabilities, evaluates experiments, and ships successful improvements to customer-facing systems.