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

Build and maintain customer-facing web platform and internal tools across backend, databases, and frontend. Design and implement APIs, interfaces to orchestrate workflows on robotic hardware, and data-visualization dashboards to inspect large-scale dataset quality. Ship full-stack product features and contribute to data collection application.

Generalist software engineer who develops backend services, data processing pipelines, orchestration for robotic workflows, full-stack data collection tools, and integrations between hardware and cloud infrastructure to support large-scale robotics and model-training data systems.

Source and engage passive senior technical candidates for robotics, data infrastructure, and product engineering roles. Develop sourcing strategies, own outreach messaging, manage top-of-funnel pipeline, track metrics, and partner with founders and hiring managers to build hiring processes and tooling.

Manage end-to-end data collection and annotation projects for robotics model training. Translate client needs into specifications, coordinate global cross-functional teams, monitor progress and quality, and ensure delivery meets accuracy, SLA, and cost targets.

Design, prototype, and test humanoid robots integrating mechanical, electrical, and software systems. Develop control algorithms for manipulation and locomotion, integrate sensors and AI/perception, run simulations and validations, and collaborate with manufacturing and field teams for deployment.

Own the end-to-end user experience for XDOF's data and research platform. Build self-serve data acquisition flows, commercialize internal tooling with infrastructure, design visualizers and exploration tools for large datasets, and collaborate closely with product and design while operating production web services.

Analyze and validate multi-modal robotics data, build automated validation pipelines and visualization tools, define quality metrics and schemas, synchronize cross-modal timestamps, catalog failure modes, and work with collection teams to trace and fix data issues.

Full-cycle technical recruiter partnering with hiring managers to source, screen, interview, and close candidates across engineering, operations, and business functions. Build pipelines, manage ATS, create structured interviews, report recruiting metrics, and ensure excellent candidate experience while representing company mission.

Build and maintain the infrastructure platform supporting large-scale data collection: orchestration systems for computation at ingestion, internal developer platforms for researcher workflows, multi-tenant data lake management, and exabyte-scale data warehouse and toolchain development.

Embed with strategic customers to own end-to-end delivery of robotics/egocentric data products: translate requirements, sequence and QA deliveries, triage technical issues, and feed recurring needs into the data-engine and annotation roadmaps to improve model performance.