Software Engineer Jobs in Sunnyvale, CA

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.

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.

Design, develop, and operate large-scale SDN control and data plane software (OVS/OVN/OpenFlow) for NVIDIA AI Cloud. Build network orchestration and IaC (gRPC/REST, Ansible, Terraform, ArgoCD/Flux), maintain CI/CD pipelines, implement observability/monitoring, drive upstream open-source contributions, and collaborate with SRE/DevOps to ensure production reliability and performance SLAs.

Author, profile, and optimize CUDA GPU kernels for LLM inference to maximize throughput and minimize latency. Build reproducible microbenchmarks and MLPerf workflows, collaborate across product, hardware, and orchestration teams, lead designs and reviews, mentor engineers, and translate kernel wins into end-to-end model-serving performance improvements.

Build and scale optimized data pipelines and data engine architecture to run ML models, reduce annotation costs, integrate foundation models for labeling and QA, use software/hardware-in-the-loop testing, and collaborate with DoD customers to understand requirements and support field events.

Build and scale simulation and developer tooling for autonomy teams, integrating neural-rendering and HIL simulation, improving fidelity and CI/CD, streamlining deployment and mapping workflows, and reducing vehicle operations idle time to accelerate safe autonomy releases.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

Lead development of Python-based tools and automation frameworks for optical transceiver validation. Automate test execution, instrument control, data collection/analysis, CMIS and EEPROM verification, and support qualification of PAM4, LPO/LRO, and coherent optics for 1.6T and 12.8T platforms.

Develop and maintain the Linux kernel in EOS, integrate new CPU support, debug issues, and lead projects. Collaborate with customers and engineers, and mentor junior staff.

The role involves developing Layer1 software for physical connectivity in networking, working with engineers to create new features, and providing technical leadership and support.

Develop and maintain CPU firmware, BIOS, and Boot Loader software. Collaborate with hardware teams, conduct validations, and mentor junior engineers.

Design and implement deterministic, safety-critical motion planners for autonomous vehicles, ensuring safe operation under uncertainty and degraded perception. Collaborate with diverse teams and conduct large-scale evaluations.

Build infrastructure and tools for large-scale E2E autonomy research. Collaborate with AI teams to productionize self-driving software and scale training aspects.

Design and improve core libraries and frameworks for a developer ecosystem, enhance infrastructure reliability, and collaborate across teams to boost productivity.

As a Cloud Infrastructure Engineer, you'll enhance deployment, monitor software, and improve CI/CD tooling for large-scale simulations.

Develop a data-oriented frontend UI/UX platform for Defense applications, collaborating with design teams and integrating with systems.

Develop and maintain web-based storage management applications, including Kubernetes operators and CSI plugins, collaborating closely across teams to define APIs.