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

Designs and integrates electrical systems for autonomous construction machines, including power distribution, high-speed communication networks, harnesses, EMC mitigation, CAD routing, component selection, supplier coordination, prototype bring-up, and field validation. The role troubleshoots complex electrical issues and leads cross-functional integration across mechanical, software, manufacturing, and operations teams.

Design and integrate mechanical systems for autonomous construction equipment, including sensor mounts, enclosures, structural interfaces, routing, environmental protection, and thermal solutions. Create CAD models and GD&T drawings, support prototype builds, validate fit and function, manage suppliers, develop retrofit strategies, and maintain BOMs and integration documentation. Collaborate with electrical, software, manufacturing, operations, supply chain, and field teams throughout product development.

Leads integrated operations planning, scenario analysis, workforce and materials planning, production coordination, and implementation of the monthly S&OP process. Partners across Commercial, Finance, Supply Chain, Engineering, and Operations to align demand, supply, capacity, machine deployments, sites, and product transitions. Develops operational metrics, reporting cadences, forecasts, and executive recommendations while identifying constraints and driving mitigation decisions during rapid growth.

Lead customer enablement programs for autonomous construction technology. Design onboarding, training, communications, Bedrock University, certification pathways, advisory boards, webinars, and field engagement programs. Create clear customer-facing materials, equip field teams, measure crew readiness and training effectiveness, and translate customer feedback into product and go-to-market improvements. The role is primarily office-based in San Francisco or Austin and requires regular travel to customer sites, jobsites, training activities, and partner gatherings.

Lead Bedrock’s editorial strategy, storytelling pipeline, and creative quality across public channels. Write, edit, interview, and develop narratives covering customer stories, technical explainers, thought leadership, campaigns, video, and social content. Establish editorial standards and workflows, manage agencies and freelance creatives, and build an internal newsroom and creative studio. Translate complex technical concepts into compelling stories while traveling periodically to customer sites, jobsites, and production shoots.

Design, manufacture, integrate, and validate autonomous hardware systems for heavy construction equipment. Responsibilities include component architecture, camera and optics design, vendor and manufacturing coordination, safety-focused verification and validation, hardware testing, and development of reusable sensor-data analysis and test-automation software. The hybrid role requires San Francisco office attendance at least three days weekly and up to 15% regional or national travel.

Train and evaluate learned manipulation policies for autonomous excavators using real fleet data and simulated rollouts. Explore diffusion and flow-matching architectures, conditioning, and hyperparameters; build evaluation pipelines for task success, smoothness, safety, and operator-likeness; investigate failure modes and sim-to-real issues; and contribute reproducible code while collaborating with behavior, controls, simulation, and autonomy teams.

Own an open product problem for autonomous construction equipment, from framing and data gathering through prototyping and recommendations. Analyze fleet performance data, build tools and workflows with AI coding agents, gather requirements at field sites, collaborate across technical and commercial teams, and present findings to leadership. The role requires hands-on quantitative work, concise communication, and comfort working around heavy equipment.

Research and implement neural rendering methods such as NeRF and 3D Gaussian splatting for autonomous construction simulation. Train models on real-world fleet data, integrate rendered outputs into simulation pipelines, develop visual fidelity and autonomy-transfer metrics, and address challenges including dynamic objects, deformable terrain, dust, and harsh lighting. Document findings and recommend where neural rendering should replace traditional simulation assets.

Develop learned SLAM, mapping, localization, and semantic 3D mapping methods for autonomous excavators. Train models on fleet lidar and camera data, evaluate performance against classical baselines and ground truth, and prototype solutions for changing terrain, dust, occlusion, and sparse sensor data. Collaborate with perception and planning teams to deliver documented experiments and recommendations.