Software Engineer Jobs in Sunnyvale, CA

Design and implement low-speed motion planning and control modules for autonomous vehicles, characterize vehicle dynamics to close sim-to-real gaps, evaluate academic research, and build optimal-control solutions (e.g., nonlinear MPC, MPPI) deployable on production vehicle platforms.

Develop core middleware components for an SDV platform using C++; implement high-performance communication services (SOME/IP, DDS, Protobuf/gRPC), work on AUTOSAR Adaptive clusters, optimize multithreading and networking on Ethernet, and design system management (health, diagnostics) for safety-critical distributed vehicle systems.

Build and maintain large-scale data and ML platforms to ingest, process, store, label, and transform petabytes of multimodal sensor data. Develop high-performance distributed processing systems and data curation/tagging tooling. Collaborate with cross-functional teams to enable dataset discovery and training-ready pipelines using modern data stack technologies.

Design and implement full-stack, infrastructure, robotics, and graphics software for autonomy products. Own technical and product decisions, collaborate with domain experts and customers, and deliver features and tools to accelerate autonomy development workflows.

Design and implement onboard application software in modern C++, collaborate with cross-functional teams to align interfaces and execution models across the autonomy stack, and contribute to building autonomy systems for on-road and off-road vehicles.

Own and maintain HD maps infrastructure across products. Define map storage formats, distribute map data for UIs, data pipelines, storage, and SDKs. Collaborate with engineers and customers to design and build mapping and localization features for autonomous vehicle and simulation applications.

Build and maintain Android/Android Automotive OS middleware from front-end to HAL. Collaborate across application, middleware, and hardware layers to design, implement, and ship platform features and tools for vehicle software at scale.

Design and implement scalable, secure Over-the-Air update platforms in C++ and Go. Build cloud-native infrastructure, package management, CDNs/PDNs, secure delivery pipelines (cryptographic signing, encrypted channels), containerized deployment, monitoring and analytics, and support large-scale device fleets across embedded Linux and RTOS devices.

Build scalable telematics backend systems and data pipelines to ingest, process, and analyze high-volume real-time telemetry from millions of devices. Design microservices, cloud storage, D2D communication, and integrate analytics/ML for predictive maintenance and fleet insights. Collaborate cross-functionally to deliver production-grade, high-availability telematics solutions.

Build and maintain large-scale cloud simulation infrastructure across AWS, GCP, and Azure. Improve deployment reliability, monitor and resolve bottlenecks, optimize CI/CD and developer tooling, and ensure interoperability with customers' autonomy software.

Build and improve core libraries, frameworks, and developer tooling to increase engineering velocity. Work on build and CI infrastructure (Bazel, Buildkite), collaborate cross-functionally to improve code quality, testability, and release processes, and define best practices for developer workflows.

Build scalable Python-based tooling and infrastructure for autonomous vehicles, including systems for fleet management and vehicle communication. Design systems supporting multiple vehicle platforms and environments, collaborate across the autonomy stack, and support development, testing, and deployment of autonomy software.

Design, implement, and tune locomotion, whole-body control, and manipulation software for bi-dexterous robots. Integrate subsystems across actuators, sensors, and motor controllers, develop real-time C++ control, validate in simulation, debug hardware failures, and contribute to fleet tooling and CI/CD pipelines.

Build and maintain large-scale ETL and ML infrastructure to automate data selection, labeling, training, and testing loops. Connect real-world and simulation data to enable continuous model improvement, collaborate with modeling teams, and mentor junior engineers to scale data-centric development.

Design and implement lifelong mapping and localization systems for vehicles, build scalable local/global maps, fuse live sensor data with maps, develop real-time onboard and offboard localization, leverage inertial/GNSS/camera/lidar/radar data, and continuously improve performance using large-scale, data-driven methods.

Optimize application-layer software for embedded autonomy platforms by profiling and tuning runtime performance, resolving resource contention, ensuring efficient concurrent execution, and deploying production code on QNX/Linux/RTOS targets while collaborating with ML runtime teams.

Develop and integrate Unreal Engine-based realtime 3D simulation features, bridge the core simulation engine with Unreal, utilize Cesium for large-scale environments, customize plugins and content ingestion, deploy engines on local and cloud platforms, and optimize simulation performance and accuracy.

Design, build, and maintain scalable, low-latency backend services and cloud infrastructure for remote assistance. Implement APIs, data pipelines, protobuf/gRPC communication, NoSQL persistence (Redis), real-time data streaming, and resilience across AWS regions. Collaborate with onboard and frontend teams to ensure secure, reliable end-to-end data flow and optimize serialization and transmission.

Build and maintain a calibration pipeline for multi-sensor vehicles, manage calibration lifecycle and deployment, support offline and online calibration algorithms, enable sensor fusion across cameras, lidar, radar and inertial sensors, collaborate with algorithm teams, and integrate calibration status into HMI for production workflows.

Build and operate the Insights data and analytics platform: ingestion, reliability, query infrastructure, visualization, dataset lifecycle, governance, transformation, and agentic analytics for physical AI at scale.

Develop high-performance motion planning modules for onroad autonomous vehicles, integrating lightweight maps and perception outputs. Ship production C++ code, deploy to vehicle hardware, test on road, and collaborate with customers to meet diverse operational design domains.

Design, build, and maintain high-quality Android applications integrated with Vehicle OS. Collaborate with product, design, and backend teams to deliver features, optimize performance and stability, conduct code reviews, and contribute to architecture and sprint planning.

Build and productionize scalable backend services, APIs, and AI workflows to connect requirements, modeling, validation, and test data for autonomous vehicle programs. Implement traceability, versioning, dashboards, and KPIs, refactor prototypes into certifiable systems, and collaborate with systems engineering, safety, and autonomy teams to support compliance and validation at scale.

Build and ship shared AI infrastructure, agent frameworks, and tooling; partner with product teams to productionize LLM and agentic features; own GenAI best practices for architecture, safety, evaluation, and deployment; develop agentic systems and AI SRE tooling; engage with customers to shape roadmap and demos.

Design, build, and maintain core libraries, frameworks, and developer tools for Android Automotive OS. Own developer infrastructure and Gerrit code review, develop automated and static analysis tooling, collaborate with platform and app teams to improve code quality, build performance, and release workflows, and set tooling best practices.