Software Engineer Jobs in Sunnyvale, CA

The role involves designing diagnostic software for NVIDIA's systems, collaborating with teams to ensure software integration, and evaluating technical standards for product lifecycle phases.

You will design and implement features for NVIDIA's SDK, collaborate with teams, and deepen your knowledge of embedded software and networking technology.

Design, develop, validate, and debug Tegra Boot and security firmware across automotive, embedded, and data center SoC platforms. Participate across the silicon lifecycle from pre-silicon simulation to silicon power-on, collaborate with hardware and software teams, and apply secure-boot, cryptography, and defensive programming practices to ship robust embedded firmware.

Lead performance and scalability characterization of the DGX Cloud stack across Kubernetes and NVIDIA components. Design automated workload tests, build monitoring and CI/CD frameworks, triage large-scale Kubernetes issues, collaborate with researchers and upstream open-source communities, and present findings externally.

Design, implement, and extend compute debugger tools and libraries for NVIDIA GPUs across Windows, Linux, and embedded RTOS. Apply debugger, binary-instrumentation, and computer-architecture expertise to integrate new features, collaborate with cross-functional teams, document designs, estimate work, perform peer reviews, and mentor junior engineers.

Lead development and maintenance of node provisioning, OS image build/packaging, and nodepool lifecycle for NVIDIA Kubernetes Engine. Build CAPI providers, BYON onboarding, hardened image pipelines with automated CVE remediation and compliance gating, and automated test suites. Troubleshoot node-layer failures at scale, collaborate with upstream Kubernetes/CAPI communities, and ensure reliable GPU-optimized node operations across large clusters.

Lead integration and productization of NVIDIA DRIVE autonomous vehicle platform software. Architect platform software, tools, and filesystem customization, enable automated build/test/release workflows, and debug application-to-kernel issues on embedded hardware while coordinating cross-functional teams and engaging customers to meet production release timelines.

Design and develop software solutions for data center servers, focusing on Linux kernel modifications, device drivers, and system optimizations while directly collaborating with Cloud Service Providers.

The role involves integrating CUDA features into AI frameworks, optimizing performance, and collaborating with teams on AI model development. Responsibilities include design, analysis, and enhancement of AI tools and frameworks.

Design and implement OpenBMC Firmware for NVIDIA's GPU Server platforms, focusing on performance optimization, coding, and collaboration with hardware teams.

The Software Engineer will design and develop applications, support software installations, participate in testing, and work in a DevOps environment. Responsibilities include data mining and implementing high-availability services.

Design, develop, and deliver software components, APIs, microservices, and UIs; integrate AI/ML features; implement CI/CD, automated testing, IaC, and containerized cloud deployments; monitor production, troubleshoot issues, and mentor junior engineers.

Own and maintain the backend stack: build APIs and services in Node.js, manage deployments with Docker/Linux, design scalable REST APIs with Swagger, collaborate with hardware/frontend teams, and prepare sensor datasets for AI/ML pipelines with an eventual path to Lead AI Engineer.

The role involves owning the storage layer infrastructure, ensuring high availability and performance, collaborating with teams to support workloads, and delivering scalable solutions while writing high-quality code.

Develop user-facing features and create frontend infrastructure using React.js and TypeScript, collaborating with product designers and backend engineers.

Design and implement scalable, secure backend systems in a cloud-native environment, ensuring high performance and reliability while mentoring junior engineers.

Build and operate core backend services, APIs, and platform components for enterprise AI; integrate LLMs, retrieval and agent workflows; ensure reliability, observability, testing, and scalability; collaborate with research, product, and design to productionize AI capabilities.

Lead the design and deployment of AI agents, mentor engineering teams, and drive technical strategy and architecture for scalable AI systems.

Design, customize, and support Salesforce solutions (Apex, JS, LWC, Visualforce). Build integrations, drive scalable cloud architectures (AWS/Azure), debug and monitor production, write tests and documentation, maintain code repositories, mentor engineers, and collaborate with business and design teams. Hybrid role: 3 days in-office.

Build and optimize AI/ML infrastructure and production-grade systems. Integrate AI solutions across platforms, implement scalable, secure deployments, validate and monitor models, and connect diverse data sources and SaaS tools via APIs.

Lead DevOps and platform engineering for VCU/CCU infotainment: define CI/CD and build architecture, optimize embedded Linux (Yocto) pipelines, implement distributed builds, automate releases, build self-service developer platforms, improve observability and reliability, apply AI/ML for predictive automation, mentor engineers, and drive cross-functional delivery from design to production.

Design and develop scalable backend services for the Falcon Risk Platform, ensuring performance and reliability. Collaborate with teams on cloud infrastructure, database management, and system optimization while mentoring junior engineers and driving technical initiatives.

As a Senior Software Engineer, you'll develop Go-based services for managing large-scale GPU data center infrastructure, focusing on automation, APIs, and monitoring tools.

Develop and bring up CUDA drivers for new GPU silicon across pre-silicon simulation to production. Design, implement, test, and stabilize CUDA features with HW and SW teams, write maintainable cross-platform kernel and system software, debug multithreaded systems, and contribute to CUDA APIs and programming model improvements.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.