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

Leads AI and robotics research initiatives from concept through proof-of-concept deployment on humanoid platforms. Manages researchers and engineers, drives work in real-time planning, human-robot interaction, adaptive motor control, and learning from demonstration, and advances teleoperation, synthetic-data, and fleet-learning strategies. Partners with hardware and software teams on sensor optimization, oversees performance and hiring, develops team talent, and ensures high-quality delivery of the AI Innovation program.

Lead the data science strategy for deployed humanoid robots: build predictive maintenance and reliability models, drive fleet performance and RaaS economics analysis, develop anomaly detection and RCA tooling, link manufacturing test data to field outcomes, and set instrumentation, experimentation, and data-quality standards across hardware, software, manufacturing, and operations.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

Lead design and delivery of end-to-end calibration systems for perception sensors and robot kinematics. Build algorithms, fixtures, on-fixture software, data pipelines, validation, operator workflows, and fleet monitoring. Own fixture software and in-field self-check/recalibration, define downstream manufacturing requirements, and coordinate with vendors and contract manufacturers. Hire, mentor, and develop engineering talent for calibration work.

Lead and scale the Strategic Program Management Office, building a TPM team and enforcing consistent PM methodology across product launch programs. Own portfolio prioritization, executive reporting, risk management, recovery plans, KPIs, budgets, and cross-functional alignment between engineering, supply chain, manufacturing, quality, finance, and commercial teams to drive product launches from concept to volume production.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Lead top-of-funnel sourcing for software, hardware, robotics, and AI engineering roles. Partner with recruiters and hiring managers to build pipelines, identify and engage passive candidates via LinkedIn Recruiter, GitHub, referrals and events, craft outreach, track activity in the ATS, share market intelligence, and improve sourcing processes. 6-month contract; fully remote US-based; must be authorized to work in the United States.