Top Robotics Software Engineer Jobs in San Francisco, CA

Build and operate a distributed telemetry data platform for ingest, processing, indexing, compression, storage, and query. Design APIs, horizontal scaling, fault tolerance, multi-environment deployments, customer data isolation, and high-performance systems supporting petabytes of data and millions of series. Engineers own projects from design through release and operations while solving complex distributed-systems challenges on a small founding team.

Build and support full-stack applications for developing, training, simulating, and evaluating autonomous systems. Develop React and TypeScript interfaces, backend services, APIs, data models, and Python workflows. Deploy and troubleshoot containerized services across local, cloud, on-premises, and air-gapped Kubernetes environments. Collaborate with users, product, design, and engineering teams to translate complex workflows into reliable, extensible applications and reusable platform capabilities.

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Own and improve the software platform for autonomous underwater robots: deploy and update fleet software, build remote monitoring and high-bandwidth comms, expand simulation and testing, create operator/customer tooling, and execute field testing with international travel.

Work on Skydio’s Manufacturing Software team to build tools and systems for producing and testing drones, docks, and accessories. Responsibilities include developing backend, frontend, embedded, hardware-in-the-loop, automated testing, deployment, factory dashboards, calibration processes, and AI-powered hardware triage systems. The role requires cross-functional debugging and strong Python development skills while contributing to manufacturing automation and software-hardware integration.

Build and scale cloud infrastructure and platform systems for autonomous drones. Projects may involve feature flags, backend performance optimization, test frameworks, CI/CD, telemetry, observability, and packaging cloud services for air-gapped or edge environments. The role offers hands-on software development experience across cloud, backend, and infrastructure technologies.

Build end-to-end internal products and tooling for robotics dataset delivery, including review and QA interfaces, dashboards, data viewers, export and validation logic, pipelines, APIs, and data infrastructure. Convert manual workflows into reliable tools, take ambiguous problems from concept to shipped v1, and iterate with users. The role spans front-end, backend, data systems, and product development, supporting petabyte-scale video and sensor datasets used by AI labs and robotics companies.

Own the technical direction of Zipline’s integrations platform by designing SDKs, connector frameworks, APIs, development tools, and reliability practices. Build scalable backend and frontend integration capabilities, establish architecture and compatibility standards, enable self-service development, improve launch repeatability, and support enterprise partner implementations. Lead technical reviews, mentor engineers, collaborate across Product and Commercial teams, and maintain production reliability through observability, incident response, and automation.

Design, build, and scale vehicle data-collection networking and infrastructure. Integrate software with onboard compute, sensors, and navigation. Build CI/CD, ensure performance, security, and operational excellence for an autonomous vehicle fleet.

Build and own infrastructure platforms, tooling, APIs, SDKs, and customer-facing applications that support large-scale humanoid robot deployments. Lead projects from design through rollout, shape architecture across teams, operate reliable backend systems, and improve testing, documentation, and engineering practices. Partner with research, robotics, and deployment teams while advancing AI-assisted development tooling.