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

Build and scale 3D content pipelines and simulation systems for autonomous construction robotics. The role focuses on realistic environments, procedural scene generation, rendering, terrain behavior, ML evaluation, safety validation, and performance optimization. Candidates need at least four years of real-time 3D experience, strong technical-art skills, and two or more years using Unreal Engine. Robotics simulation, Isaac Sim, Omniverse, and neural-rendering experience are preferred.

Architect, source, build, integrate, characterize, and validate hardware systems for autonomous heavy machinery. The role defines hardware architecture, leads external vendor relationships and development programs, collaborates across engineering and safety teams, and ensures reliable performance in rugged environments. Responsibilities include autonomy sensing, compute, HMI, connectivity, machine-control interfaces, power and cooling, hardware testing, data analysis, and test automation using Python, C++, C, or Rust.

Define functional and technical safety concepts for autonomous construction-machine hardware. Author hardware safety requirements, design safety mechanisms, conduct HARA, FMEA, FMEDA, and FTA analyses, and establish verification and validation plans. Partner with hardware and software teams on architectures, diagnostics, fault handling, test infrastructure, fault injection, and HIL testing throughout the safety lifecycle.

Own global sourcing, commodity strategy, supplier qualification, capacity planning, cost reduction, contracts, risk mitigation, and manufacturing readiness for robotics components. Partner with engineering, manufacturing, quality, and fleet operations from prototype through production. Manage supplier performance, tooling, inventory, forecasts, logistics, and strategic supply relationships while ensuring component availability, quality, cost, and delivery during fleet expansion.

Own execution of safety and systems engineering programs for autonomous heavy equipment, from requirements through validated field deployment. Build traceable safety requirements, validation plans, risk and dependency management processes, and release readiness practices. Coordinate engineering, safety, autonomy, hardware, software, state estimation, and field operations teams. Translate field signals into engineering priorities while communicating roadmap health, delivery status, risks, and safety implications to executives and customers.

Lead critical technical programs for autonomous construction systems and data products. Coordinate Engineering, Commercial, and Operations teams, manage technical risks and dependencies, shape roadmaps, establish scalable program practices, and facilitate high-stakes decisions across cloud, software, robotics, and field operations. The role requires experience with safety-critical systems, robotics, machine learning and simulation, data storage, and physical deployments.

Build and lead Bedrock’s learning and development function, including internal technical training and the Bedrock Certified partner program. Design curricula, certification standards, field assessments, train-the-trainer programs, and learning measurement systems for autonomous heavy equipment operations. Partner with Operations, Safety, Engineering, and Product to keep training aligned with product releases, OSHA requirements, and safety procedures. Manage budgets, vendors, qualification records, recertification, and training outcomes while traveling to job sites and training locations.

Lead manufacturing test strategy, automated test development, MES integration, production bring-up, diagnostics, failure analysis, reliability testing, and data-driven continuous improvement. Build scalable hardware and software test systems across EVT, DVT, PVT, and high-volume production. Collaborate with hardware, firmware, quality, and manufacturing teams to improve test coverage, yield, throughput, and field reliability while training production personnel and supporting domestic and international deployments.

Own and scale cloud infrastructure supporting machine learning and robotics teams. Design reliable distributed systems, build observability across monitoring, logging, and tracing, implement infrastructure as code, improve security and incident response, and optimize performance and cloud costs across AWS, GCP, and Azure.

Own hydraulic and electro-hydraulic actuation systems for autonomous construction equipment. Responsibilities include characterizing OEM circuits, designing retrofit interfaces, sizing components, supporting functional safety analysis, collaborating on controls, routing hydraulic lines, validating systems, commissioning prototypes, managing suppliers, and maintaining technical documentation. The role requires hands-on testing and field troubleshooting under demanding operating conditions.