Top Tech Jobs & Startup Jobs

Lead training, evaluation, and deployment of ML models for scene understanding and behavior prediction in autonomous vehicles.

You will train, evaluate, and deploy ML models for scene understanding and behavior prediction in autonomous vehicles, while collaborating with engineers.

Lead design and build of internal web visualization tooling for ML and AV teams. Architect scalable React/TypeScript/Vue frontends, collaborate cross-functionally, drive performance and UX best practices, mentor engineers, and deliver mission-critical data-heavy UI systems.

Improve performance, reliability, and observability of onboard embedded Linux compute platforms. Build low-overhead telemetry, tracing, profiling, and analysis tools; diagnose resource contention, crashes, and latency; define benchmarks and regression tests; partner with autonomy, platform, and hardware teams to translate findings into durable performance improvements.

Lead sourcing strategy and supplier management for radar and camera hardware across product development and production. Negotiate contracts, track BOM costs, ensure APQP/PPAP and supplier quality compliance, coordinate cross-functionally with engineering, program management, and Hyundai counterparts, and drive cost reduction and supplier performance improvements.

Lead technical strategy and architecture for an AI Data Engine to accelerate ML dataset generation and data warehouse operations. Hands-on staff engineer mentoring engineers, designing scalable storage, vector retrieval, LLM/agentic workflows, and collaborating with ML research and platform teams to deliver petabyte-scale data solutions.

Design and implement C++ software enabling remote human operator control and low-latency sensor/semantic data streaming for autonomous vehicles. Build integration and simulation test suites, apply test-driven development, support on-road testing, collaborate with cross-functional teams, and develop RVA agent training tools and scenarios.

Lead commercialization of autonomous vehicle services from pilot to scaled fleet over a 1–3 year horizon. Drive GTM execution, build commercial models, harvest deployment insights, translate requirements to Product and Engineering, coordinate cross-functional launches, and create repeatable playbooks to improve unit economics and user experience.

Design and build large-scale mining solutions to find challenging driving scenarios, improve learned model performance, and support continuous learning. Collaborate with ML infrastructure to enable iterative mining, error analysis, training and deployment. Research uncertainty and informativeness metrics, run deep learning experiments, provide statistical insight on model uncertainty and robustness, write technical reports, and mentor junior researchers.

Develop and integrate motion-planning and decision-making algorithms for autonomous driving. Build robust, scalable C++ code and CI/CD pipelines, process and analyze vehicle field data, optimize large data pipelines, lead feature development, and mentor junior engineers.