Top Robotics Software Engineer Jobs in San Francisco, CA

Build and ship major FruitScope OS web application features across the frontend, backend, UI/UX, databases, APIs, and cloud infrastructure. Develop scalable systems that transform agricultural data into actionable insights for farmers. Own product problems end to end, collaborate directly with customers, and rapidly improve solutions based on feedback.

Develop and optimize AI training pipelines, collaborate with researchers, ensure reliability and performance of training systems, and integrate advanced algorithms.

Designs, develops, tests, and maintains complex, scalable software systems. Contributes to architecture, distributed systems, cloud-based solutions, technical projects, troubleshooting, automated testing, and continuous integration. Collaborates with product, design, architecture, and cross-functional teams while mentoring junior engineers and supporting technical decision-making. Evaluates new technologies and drives improvements in software quality, reliability, performance, and development efficiency.

Build and maintain the software that moves embodied AI models from training to production, including data infrastructure, services, pipelines, APIs, deployment systems, and internal platforms. Work across team boundaries on the highest-priority technical problems and deliver software to production robots within days or weeks. The role requires exceptional software engineering, strong judgment, clear communication, resilience, and comfort with ambiguity. Robotics experience is welcome but not required.

Develop end-to-end AI-powered products spanning data pipelines, backend services, APIs, dashboards, web, mobile, and kiosk interfaces. Build customer-facing logistics applications, collaborate with Product and Solution Engineering teams on agentic AI products, and improve backend stability, scalability, observability, and fault tolerance. The role requires strong TypeScript and Python experience, full-stack product development expertise, distributed-systems knowledge, customer collaboration, and a relevant technical degree.

Build and maintain the software engineering backbone of Genesis-World, an open-source multi-physics robotics simulation platform. Responsibilities include scalable testing for JIT-compiled systems, deterministic simulation replay, autodiff integration, scene editing, plugin architecture, actuation, local time stepping, event systems, serialization, telemetry, performance improvements, and legacy refactoring. The role also involves code reviews, issue triage, contributor support, and collaboration with compiler and physics teams across GPU and operating-system platforms.

Build polished, high-performance React/TypeScript web applications and end-to-end features using FastAPI and Postgres. Lead frontend architecture, state management, and UX for data-dense scientific workflows. Collaborate with scientists, robotics, and AI teams, leverage LLMs to accelerate prototyping, ensure testable, secure code, and mentor junior engineers while shipping production-ready tooling for laboratory automation and imagery workflows.

The Data/ML Infrastructure Engineer builds and operates data infrastructures for processing drone and orbital sensing data, ensuring reliability, observability, and performance while collaborating with research and product teams.

As a Data Infrastructure Engineer, you will create large-scale data processing systems, ensuring efficient data flow and collaborating with teams to tackle infrastructure challenges.

Design, build, and maintain full-stack cloud applications and real-time frontends to monitor and control robot fleets. Implement scalable ingestion, storage, streaming, and analytics for high-volume telemetry and video. Develop agentic/LLM-based tooling, improve reliability and observability, debug field issues, and ship production software from prototype to deployed systems on construction sites.