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

Develop and deploy reinforcement learning and policy-learning systems for autonomous drones. Work includes navigation, obstacle avoidance, planning, control, sim-to-real training, human-in-the-loop autonomy, multi-agent coordination, and safety-constrained deployment. Interns prototype in simulation, validate policies on real aircraft, and collaborate with perception, mapping, controls, and product teams.

Design and build autonomy development infrastructure, including replay and analysis systems, automated testing and failure-triage tools, robotics middleware interfaces, developer tooling, and internal services. Collaborate with autonomy, QA, and infrastructure teams to improve debugging, test coverage, simulation workflows, and system understanding. The role requires C++ and Python development for performance-sensitive, multithreaded systems, with opportunities to work on robotics, telemetry, distributed systems, and data visualization.

Develop and improve Skydio’s drone simulator, including core architecture, physics and dynamics, sensor and hardware modeling, autonomy-stack integration, performance, and fidelity. Build real-time C++ and Python components, collaborate with autonomy, perception, and controls engineers, debug complex software-physical interactions, and contribute to simulator strategy and documentation.

Research and develop autonomy algorithms for Skydio drones, including prototyping new approaches, implementing computer vision and intelligent-system features, assessing feasibility, and measuring software and hardware performance. The intern will own a project and collaborate with experienced computer vision and software engineers to advance autonomous flight capabilities and deploy research into products.

Research, prototype, implement, and evaluate computer vision and autonomy algorithms for Skydio drones. The intern will own a project that advances autonomous flight capabilities, characterize software and hardware performance, and contribute clean, well-architected code in collaboration with an experienced autonomy team.

Research and develop autonomy algorithms for Skydio drones, including computer vision and deep learning systems. The intern will prototype new approaches, assess feasibility, implement product features, and measure software and hardware performance. The role requires strong mathematical, theoretical, and software engineering foundations, with opportunities to advance intelligent autonomous flight capabilities in collaboration with experienced researchers and developers.

Develop embedded software and firmware for autonomous drones and accessories. Responsibilities include integrating and validating cameras, radios, and flight controllers; bringing up and debugging hardware; and writing sensor, camera, and device drivers. The role involves bare-metal, RTOS, embedded Linux, and Android platforms, with collaboration across hardware and software teams.

Build and ship frontend features for Skydio’s browser-based Remote Flight Deck, including live video, telemetry, maps, flight controls, and autonomous drone interfaces. Collaborate with product managers, designers, engineers, and support teams while developing production web applications connected to backend APIs and data systems. Projects may include multi-cockpit views, camera controls, flight-path maps, and augmented-reality subject tracking.

Own the embedded hardware-in-loop system, including its Python test framework, CI integration, physical test stations, and connected devices. Set the framework roadmap, develop fixtures, onboard products, and partner with engineering teams to automate hardware validation. Troubleshoot test failures, distinguish infrastructure issues from product regressions, and support hardware bring-up and embedded Linux debugging across the organization.

Build, operate, and scale production cloud infrastructure and Kubernetes/EKS clusters on AWS. Own Terraform-defined infra, CI/CD, observability, networking, and reliability. Troubleshoot production incidents, participate in on-call rotations, automate operational work with Python/Go, and expand multi-region deployments.