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

Design, prototype, test, and integrate robotic arm and mobile platform subsystems spanning mechanical, electrical, embedded, and software disciplines. Responsibilities include hardware bring-up, assembly, calibration, reliability testing, data-driven debugging, and root-cause analysis. The intern will own subsystem development from CAD and PCB work through bench testing while supporting robotics data collection and model training operations.

Own high-volume recruiting for Robot Operators and related site-based roles in San Francisco. Build candidate pipelines through job boards, referrals, partnerships, events, schools, and community organizations; conduct efficient initial screens; manage funnel throughput and candidate experience; track conversion metrics; partner with operations leaders; and improve repeatable recruiting processes and automation.

Design and implement embedded firmware for data-collection devices, including embedded Linux bring-up, sensor drivers, BSP customization, kernel debugging, hardware/software integration, performance tuning, and power optimization. Collaborate with research, hardware, software, and fleet teams to develop first-of-their-kind devices, debug complex concurrency and interface issues, and bring products from concept to production.

Build and deploy internal AI tools, agents, integrations, automation, and workflows that improve productivity across engineering, research, operations, and recruiting. Drive adoption through enablement, documentation, training, and best practices. Evaluate AI tools, measure impact, and ensure secure data access and permissions while partnering across technical and business teams.

Own and optimize infrastructure for large-scale ML training and inference. Build JAX-based pipelines, manage GPU and TPU workloads, improve distributed performance, and create systems for scheduling, monitoring, checkpointing, debugging, and reproducible experimentation. Partner with researchers to translate modeling ideas into production training runs and contribute to core training code supporting new architectures, modalities, and evaluation metrics.

This role involves executing cross-functional projects, driving partnerships, managing deployment efforts, and supporting communications with investors and external parties.

As a Forward Deployed Robotics Engineer, you'll manage robotic systems' technical issues in real-world settings, performing diagnostics, collaborating with teams, and analyzing data for resolution and improvements.

Design and implement control algorithms for robotics, develop real-time control loops, and debug complex hardware/software issues while collaborating with cross-functional teams.

Deploy, debug, and iterate learned policies on physical robots across perception, policy, control, and hardware. Train and tune policies, curate data, build production-quality code, set up tests and data pipelines with operators, engage partners in deployment contexts, and translate research advances into reliable, real-world robotic systems.

Design and implement low-latency teleoperation interfaces and real-time video/streaming systems for on-site robots. Profile and optimize across drivers, networking, compute, and storage; build reliability, tracing, and debugging tooling; collaborate with researchers, hardware engineers, and operators to deploy dependable production robotics systems.