Top Tech Jobs & Startup Jobs

Manage day-to-day legal operations: triage intake, run CLM workflows, coordinate signatures and DocuSign, maintain document repository and SOPs, support entity management, track metrics, assist with compliance, outside counsel management, and pilot AI-native legal operations improvements.

Own end-to-end software releases and dependency/version management, build and maintain scalable CI/CD pipelines, manage artifact lifecycle in Artifactory, and develop the internal Release Management portal while coordinating with engineering and TPM teams to ensure release readiness.

Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

Design, implement, and maintain reliable embedded software for in-vehicle systems. Integrate vendor components and sensors, develop RTOS and Linux/Android applications, bring up custom devices, implement OTA and infotainment solutions, and use modern build tools and CI/CD to productionize products.

Design, implement, and deploy software and ML components for behavior prediction, state estimation, and decision planning. Build scalable data pipelines, transform raw sensor logs for training, and develop evaluation frameworks and tooling for model visualization, experiment tracking, and continuous delivery. Integrate models into low-latency production systems and maintain high code quality with rigorous testing.

Lead development and integration of the full robotics vehicle platform, spanning sensors, networking/time sync, middleware, embedded software, and actuation. Architect 0->1 prototypes to production, design test rigs and validation infrastructure, debug full-stack interactions, coordinate cross-functional teams, and work directly with customers to drive successful field deployments.

Serve as the technical anchor between Silicon Valley HQ and Korea market: lead customer discovery, host workshops and demos, develop solutions with Product and Engineering, iterate technical scope and business models, guide proposals, and plan revenue strategy across automotive and adjacent domains. Requires frequent international travel.

Optimize large-scale distributed ML training and petabyte-scale offline inference for throughput and cost. Profile across stack, close performance gaps, improve multi-node scaling and cluster goodput, and build benchmarking and observability tooling while collaborating across teams.

Develop, prototype, evaluate, and deploy ML-first behavior prediction and planning modules to forecast motions and interactions of road users. Build software and infrastructure for behavior-specific ML, collaborate with perception and planning teams, and integrate models into production autonomy systems.

Manage daily publishing and community engagement across social channels (X, LinkedIn, etc.), moderate comments and DMs, track audience and trends with listening/analytics tools, coordinate content execution with writers and designers, and build relationships with developer and engineering audiences.