Software Engineer Jobs in Sunnyvale, CA

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.

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.

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 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.

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.

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.

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 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 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.

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.

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.

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.

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

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.

Develop and optimize Linux kernel features and device drivers for enterprise storage arrays. Maintain and patch kernel code, diagnose hardware-software boundary issues, optimize performance (NUMA, interrupts, threading, CPU instruction sets), lead architecture and development from concept to release, mentor peers, participate in code reviews, and collaborate with partners and vendors.

Develop and maintain full-stack applications supporting foundation-model research. Design client- and server-side architecture, ensure responsiveness, security, and performance, collaborate with researchers/ML engineers, troubleshoot and document software, and contribute to HPC and deep-learning research outputs and publications.

Responsible for designing and developing scalable data pipelines, storage systems, and monitoring tools for ML data infrastructure, ensuring system integrity and performance evaluation.

Develop large-scale data processing systems for autonomous driving, including storage, dashboards, and data pipelines, while ensuring integrity and resilience.

Develop high-quality visualization platforms for autonomous technology, work with autonomy engineers, and create polished visualizations for external applications.

Design and implement low-level embedded software for x86/ARM platforms in C/C++; collaborate with hardware and software teams to spec, test, and debug vehicle subsystems and sensors (camera, radar, lidar, IMU); work on network devices and time synchronization; perform hands-on hardware bring-up and on-vehicle debugging of buses like I2C, CAN, SPI, UART; ensure reliability and safety for autonomous trucking systems.

Design, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSPs, I/O virtualization, drivers, boot and diagnostics for mixed-criticality NVIDIA SoC platforms. Apply formal methods and safety standards (ISO 26262/21434), optimize platform bring-up, and implement debugging, tracing, logging, and performance-analysis solutions. Collaborate with ASIC, firmware, OS, safety, security, and platform teams.

Architect, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, I/O virtualization, and platform software for NVIDIA SoCs. Ensure safety and security compliance (ISO 26262/21434), use formal methods, optimize platform performance, and collaborate with ASIC, firmware, OS, safety, and security teams. Employ AI-assisted engineering tools to accelerate development, testing, and documentation.