Software Engineer Jobs in Sunnyvale, CA

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.

Architect and deliver high-performance C/C++ networking software for enterprise storage platforms. Implement Layer 2/3 features, integrate with ASICs and switch SDKs, enable non-disruptive upgrades, customize SONiC, and lead cross-functional hardware-software efforts while mentoring engineers.

Develop and maintain enterprise software applications, focusing on back-end development, API development, and ensuring application security while contributing to software improvement processes.

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.

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.

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, 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.

Lead performance and scalability analysis of the Kubernetes-based accelerated runtime stack, design upstream control-plane changes for hyperscale clusters, optimize container startup and inference latency, advance confidential container performance, model large AI-factory deployments with simulations, build at-scale tests and monitoring, and collaborate with researchers and upstream communities to validate and publish results.

Design and implement cloud-native data management services (catalog, metadata, dataset/checkpoint lifecycle) for exabyte-scale GPU workloads. Build backend systems on Kubernetes and major cloud providers, collaborate with research and cross-functional teams, document architecture, and drive integration with storage/compute innovations (GPU Direct Storage, DPU).

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.

Lead design and execution of scalable, automation- and AI-enabled quality engineering strategies. Develop complex test plans and frameworks, apply data analytics to predict and prevent defects, debug and validate complex software systems, drive cross-functional initiatives, and provide technical leadership on product quality and corrective actions.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

Responsible for building decision-making frameworks for multi-aircraft wildfire suppression, developing algorithms, and ensuring real-time software performance. Collaborates with engineers and firefighters for system validation.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

Lead design and implementation of production-line machine control software and operator interfaces. Architect equipment-to-factory communications, integrate industrial protocols and PLCs, develop C#/C++ GUIs, implement motion and vision systems, build robust automation state machines, perform system/component testing, and maintain documentation and Agile workflows.

The role involves optimizing and developing software for NVIDIA's deep learning inference ecosystem, requiring collaboration and performance analysis on various models and frameworks.

Lead integration of core system software with autonomous vehicle functions, drive vehicle bring-ups and fleet productization, debug sensors and OS/GPU stacks, develop HIL/SIL testing, and architect tooling from root-cause analysis to improve performance and stability.

Lead cross-stack adoption of modern toolchains, build and code-health practices, and performance workflows on NVIDIA CPU platforms. Integrate and validate compilers, linkers, cross-compilation, and CI; profile and optimize large codebases; build automation and playbooks; drive integration blockers to owners and communicate measurable before-and-after results to engineering teams and leadership.

Develop full-stack, infrastructure, robotics, and graphics software for autonomy products. Own features across the stack, collaborate with domain experts, and iterate with users to deliver tools and workflows for autonomy development.

Develop AI agents and software fixes to automate defect intake, triage, assignment, and pipeline handling. Collaborate with QA to reproduce defects, implement timely fixes, and improve AI-driven feedback loops for open-source cloud development.

Develop metrics and models for performance and safety of self-driving systems, integrate metrics into fleet data, and communicate model benefits.

Collaborate with teams to develop software, write specifications, maintain modules, and troubleshoot issues, while ensuring quality and alignment with business objectives.