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

Coordinate and guide a robotics research portfolio by tracking objectives, hypotheses, results, risks, dependencies, and decisions. Evaluate research progress, connect work across teams, support strategic prioritization with the Chief Research Officer, establish research plans and milestones, lead reviews, document decisions, and communicate evidence-based updates. The role also bridges robotics research with engineering and product development to advance promising findings toward deployment.

Provides high-autonomy executive and office support for company founders. Responsibilities include calendar and meeting management, customer and investor coordination, travel arrangements, event and offsite planning, vendor management, recruiting logistics, office operations, follow-up tracking, and special projects. The role requires excellent judgment, organization, discretion, communication, adaptability, and proactive problem-solving in a fast-paced robotics startup.

Owns employee relations, investigations, performance management, corrective actions, and terminations for a 200+ person, multi-site, shift-based workforce. Partners with managers and site leads, builds HR processes including performance reviews and career paths, analyzes attrition and engagement, and advises on organizational design and headcount planning. Requires strong California employment-law knowledge, sound judgment, discretion, and hands-on experience supporting hourly workers.

Own the reliability of a deployed humanoid robot fleet by diagnosing hardware, firmware, controls, and telemetry failures. Perform hands-on actuator and electronics repair, design test fixtures and mechanical modifications, build fleet health metrics and calibration tooling, analyze robot logs, improve observability, validate firmware and software changes, and document procedures. The role requires strong Python, motor-control and actuator knowledge, hardware troubleshooting, time-series analysis, and cross-functional collaboration.

Lead hardware builds, diagnostics, validation, and quality control for robotic systems. Assemble and troubleshoot electro-mechanical assemblies, develop test plans and fixtures, drive root cause analysis, maintain SOPs and metrics, support deployments, and mentor junior technicians.

The role involves designing and maintaining large-scale ML infrastructure, optimizing distributed training systems, and enhancing computing performance for model training.

Build and maintain the software that moves embodied AI models from training to production, including data infrastructure, services, pipelines, APIs, deployment systems, and internal platforms. Work across team boundaries on the highest-priority technical problems and deliver software to production robots within days or weeks. The role requires exceptional software engineering, strong judgment, clear communication, resilience, and comfort with ambiguity. Robotics experience is welcome but not required.

Own continuous learning for deployed robot fleets: build pipelines to convert deployment data into fine-tuning and policy updates, mine multimodal fleet data for failures and drift, apply RL and reward modeling, create automated real-time monitoring and evaluation, and partner across teams to ship measurable improvements to production robots.

The role involves applied research and engineering for deploying AI in robotics, focusing on infrastructure design, fleet management, and software stability.

Lead QA function across Dyna's robotics stack, managing a team, developing automated test frameworks, and ensuring hardware behavior validation.