Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Develop and optimize large-scale ML training systems for autonomous-driving foundation, VLM, and VLA models. Responsibilities include distributed training, mixed precision, reinforcement learning performance, GPU kernel development, profiling, benchmarking, and debugging across compute, compiler, framework, and networking layers. The role collaborates with researchers, data engineers, and hardware engineers to improve training efficiency, scalability, and cost.

Lead ML training performance for large-scale VLM, VLA, foundation-model, and reinforcement-learning systems. Design distributed parallelism, mixed-precision strategies, gradient checkpointing, GPU kernels, profiling workflows, and performance benchmarks. Own RL optimization strategy and roadmap, diagnose bottlenecks across compute and networking layers, partner with research and engineering teams on architecture, and mentor engineers.

Supports autonomous vehicle programs by coordinating cross-functional activities, tracking engineering tasks and parts, managing BOM and PLM data, monitoring milestones and risks, and reporting program status. The role drives action-plan follow-through across engineering, software, autonomy, supply quality, and program stakeholders to meet build, testing, and delivery targets.

Designs, develops, integrates, deploys, and supports manufacturing end-of-line test solutions for ECU and vehicle bringup, validation, diagnostics, and troubleshooting. Builds Python-based test systems, user interfaces, communication middleware, and scalable validation scripts. Diagnoses electrical, firmware, software, networking, hardware, and infrastructure issues while collaborating with multidisciplinary engineering teams. Documents requirements, troubleshooting procedures, and maintenance specifications for current and future manufacturing lines.

Leads complex manufacturing capacity programs and capital expenditure projects from concept through commissioning. Responsibilities include facility upgrades, production line implementation, equipment installation, factory design, integrated scheduling, budget tracking, risk mitigation, supplier and engineering-partner management, and cross-functional coordination across Manufacturing, Hardware, Facilities, Supply Chain, and Engineering.

Design, train, and validate machine learning models that improve simulated LiDAR, radar, and camera realism for autonomous vehicle simulation. Build datasets from real and simulated sensor data, integrate 3DGS and NeRF reconstruction, develop generative augmentation methods, define sensor realism metrics, reduce sim-to-real gaps, and mentor engineers and interns.

Develop and validate machine learning models that improve simulated LiDAR, radar, and camera realism for autonomous vehicle simulation. Build datasets from real and simulated sensor data, integrate 3DGS and NeRF reconstruction, apply generative augmentation, define sensor realism metrics, close sim-to-real gaps, and mentor engineers and interns.

The role involves shaping and improving the go-to-market strategy for personal mobility, collaborating with various teams, developing strategies, analyzing data, and leading cross-functional teams.

Provides expert employee relations guidance, conducts investigations, manages ADA accommodations, supports HR policy implementation and training, maintains documentation, and partners with employees, managers, and cross-functional teams. Uses workforce analytics to identify trends, improve employee processes, and reduce workplace issues while balancing fairness, compliance, risk management, and business priorities.

Own full-cycle, high-volume recruiting primarily for Fleet Operations and Manufacturing Operations. Responsibilities include sourcing, screening, interviewing, candidate evaluation, hiring-manager partnership, offer management, pipeline development, and process improvement. The recruiter will hire technical and non-technical operational talent, use sourcing tools and Lever ATS, and serve as a candidate and employer brand ambassador in a fast-paced environment.