Top Robotics Software Engineer Jobs in San Francisco, CA

The software engineer will develop cloud-native simulation services, design APIs, and build full-stack applications for Skydio's simulator, ensuring scalability and reliability.

Design, build, and operate backend services and APIs that deliver real-time GNSS/RTK corrections at low latency and high availability. Own ingestion, processing, distribution, observability, and testing of distributed systems while collaborating with cross-functional teams and responding to customer needs. Focus on scalability, reliability, performance, and production readiness for a large device fleet.

Develop and maintain a full-stack web platform, utilizing frontend and backend technologies to help farmers manage agricultural data effectively.

Design, implement, and maintain software systems for production automation, optimizing performance and collaborating with engineers across disciplines.

Develop and enhance software for a surgical robot, working across the software stack. Collaborate with teams to define software architecture and ensure effective delivery of features.

As a Full Stack Engineer, you will develop and expand enterprise-grade products, build UX interfaces, and collaborate with teams, focusing on AI and automation.

The Solutions Engineer will develop technical solutions for healthcare automation, translating customer needs into implementable features using the Canvas SDK, while collaborating with teams and maintaining high coding standards.

Build operator-facing software across mission planning, data workflows, and mission analysis. Develop frontend (React/TypeScript), backend (Python), internal APIs, and database-backed systems spanning edge and cloud. Partner with autonomy, field, and integration teams to turn ambiguous operational needs into reliable, deployable product features and improve performance and usability from real deployments.

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.

The Senior Computer Vision Engineer will develop and optimize ML models for computer vision, enhance existing systems, and manage data pipelines while utilizing expertise in various technologies.