Top Robotics Software Engineer Jobs in San Francisco, CA

Lead and scale a software engineering team building high-performance visualization tools for autonomous vehicle data. Own technical and product strategy across single-vehicle introspection and fleet analytics platforms, guide browser performance optimization for 3D rendering and large data streams, improve developer usability, and collaborate with autonomy, safety, and infrastructure teams.

Build and own software connecting robots to customer businesses, including teleoperation and fleet management interfaces, task scheduling and dispatch, customer system integrations, performance dashboards, and mobile and web tools. The role involves working directly with on-site operators, designing real-time systems, and iterating quickly based on field usage.

Leads the software team developing the user interface and underlying state machine for a robotic surgical system. Responsibilities include recruiting and mentoring engineers, managing the full software development lifecycle, coordinating with cross-functional teams, overseeing requirements, risk analysis, verification, validation, traceability, releases, design reviews, and software engineering best practices. The role requires hands-on UI engineering expertise and strong people and technical management skills in a regulated or mission-critical environment.

Build internal fullstack products and human-robot interfaces for operating, monitoring, debugging, and deploying robots. Responsibilities include realtime video and robot-state systems, safety-focused UX, on-device and cloud architecture, fleet versioning, observability, workflow measurement, and direct user-driven product development. The role partners with researchers, operators, and roboticists across lab, warehouse, and field environments.

Staff Forward Deployed Engineer embedded with a major robotics customer, responsible for debugging and improving realtime robot-control systems, SDKs, APIs, ROS 2 integrations, and robot controllers. The role combines customer technical leadership, production incident resolution, software delivery, reliability engineering, and platform generalization. It requires extensive onsite work in the San Francisco Bay Area, with recurring travel to New York.

Build and operate software powering Coco’s robotic delivery platform, including consumer and merchant products, order integrations, delivery management, logistics, internal tools, and robot device infrastructure. Own products through design, development, testing, deployment, and production support. Collaborate with product managers and cross-functional teams, propose technical solutions, manage projects for junior engineers, and report on impact.

Build end-to-end full-stack features for cloud and factory-floor edge applications. Implement offline-capable, low-latency UIs and backend services, design APIs, write tests, troubleshoot production issues, and collaborate on shared libraries and developer tooling to support factory operators and supervisors.

Develop and deploy production state-estimation and localization software for autonomous construction machines. Combine GNSS, IMU, lidar, and machine-sensor data; improve reliability through monitoring, fault detection, confidence estimation, and graceful degradation. Build ground-truth systems, offline estimators, metrics, and regression tests. Diagnose issues using field data, replay, simulation, and physical-machine testing while collaborating across controls, perception, safety, hardware, and systems teams.

Develop and integrate software across a robotics stack, including real-time perception, control, firmware, and embedded systems. Deliver reliable, performant code; contribute to architecture, testing, feature rollout, diagnostics, and lifecycle development. Lead prototype robot integration, bring-up, debugging, and engineering tests while collaborating across hardware and software teams. Required expertise includes Python, system-level C/C++/Rust, concurrency, robotics control, network communications, Git, and maintainable software design. Computer vision, deep learning, Linux, and production perception experience are preferred.

Architect and implement software infrastructure that coordinates precision manufacturing equipment, robotics, embedded controllers, and cloud services. Define interfaces, develop APIs and distributed services, build automated testing, simulation, and CI/CD pipelines, perform system integration and validation, drive performance and reliability improvements, and lead cross-boundary debugging, FMEA, and root-cause analysis.