Source description
About the role
10+ years of software engineering experience, with at least 5 years in Physical AI technical leadership and engineering management roles.
Proven track record of shipping production grade AI based autonomy in a safety-critical, deterministic and highly regulated environment (aerospace, automotive, industrial, medical, or similar).
Deep expertise in at least one of: real-time perception and sensor fusion, motion planning and control, large-scale next gen AI model training and deployment, or onboard inference systems.
Strong command of modern software engineering practices including AI model distillation, MLOps, CI/CD, rigorous testing strategies, and design-for-safety principles.
Experience in deploying end-to-end Data strategy to collect, ingest and curate the data for AI model training, simulation and edge deployment.
Experience managing the managers, senior engineers and staff-level technical contributors, including performance management and career development.
Ability to define and communicate architectural decisions across organizational boundaries, including to non-technical stakeholders.
Proficiency in Pytorch, TensorFlow and C++ (or equivalent systems languages used in real-time embedded environments).
Strong written and verbal communication skills; ability to document complex technical decisions clearly and concisely.
Comfort operating in a fast-paced, ambiguous startup environment where priorities and requirements evolve.
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