Teams at GenomeKey

Leads software release program management for complex vehicle software. Builds and manages a team of technical program managers, establishes release standards, improves release frequency and predictability, manages risks and dependencies, coordinates validation and OTA delivery, strengthens quality governance, and communicates release readiness and trade-offs to senior stakeholders.

Design, build, and operate data‑labeling tools and pipelines for autonomous vehicle ML. Lead end‑to‑end platform projects, partner with ML/Prod/Data teams, apply ML to annotation, and deliver scalable full‑stack experiences improving labeling quality and velocity.

Develop data-centric machine learning solutions for autonomous driving. Responsibilities include designing dataset mixtures, scaling experiments, model training recipes, data curation, auto-labeling, deduplication, evaluation metrics, failure analysis, and large-scale multi-GPU training. The role applies self-supervised, imitation, and reinforcement learning to real and synthetic driving data while collaborating on production deployment and onboard vehicle systems.