Software Engineer Jobs in Santa Clara, CA

Own firmware development for coherent optical modules from architecture through production. Design features (hitless upgrades, bootloader), manage bring-up, calibration, validation, and releases. Collaborate with DSP, hardware, ATE, and test teams and provide technical customer support and field debugging.

The role involves architecting and optimizing AI inference systems, developing GPU kernels, and contributing to benchmark methodologies, requiring substantial experience in performance engineering and various programming technologies.

Develop and optimize deep learning inference software, working with NVIDIA's TensorRT SDK and collaborating with experts across teams.

Develop and optimize high-performance Vision AI systems, pipeline implementations, and collaborative projects, leveraging computer vision and deep learning for real-world applications.

Develop and maintain scalable 3D simulation software for Digital Twin and Synthetic Data Generation, collaborating with teams to optimize solutions.

Reproduce and debug customer-reported issues, perform root-cause analysis, and validate fixes across customer platforms. Build diagnostic scripts and tools (Python, C#, C++) and AI-driven utilities. Validate NVIDIA products on diverse virtualization and hardware configurations, collaborating with engineers, program managers, and customers to ensure compatibility and reliability.

The role involves developing scalable 3D simulation software for Digital Twin and Synthetic Data Generation, optimizing applications, collaborating with teams, and managing UI components.

As a Senior Software Engineer II on DevEx, you will build infrastructure for AI development, architect CI/CD pipelines, and mentor engineers.

As a Layer1 Software Engineer, you will develop software for physical layer management, collaborate with teams, and mentor junior engineers while ensuring quality and performance in delivery.

As a Software Test Engineer, you will design test plans and topologies, find and fix bugs, and collaborate with developers to ensure product quality.

The Software L1 Test Engineer will create and execute test plans, validate products, troubleshoot issues, and mentor junior engineers, focusing on networking and Ethernet technologies.

The Principal Software Engineer will lead the technical vision for SpaceX's AI platform, optimizing systems, mentoring teams, and driving AI integration across the company.

The Sr. Software Engineer will lead the design and implementation of secure AI platforms, drive onboarding of new models, and develop risk-mitigation tools across SpaceX. Responsibilities include optimizing performance, mentoring engineers, and enhancing automation with scalable AI solutions.

Lead development projects, implement and monitor project status, provide technical guidance, and develop cross-platform products using C++. Requires experience in client architecture and debugging tools.

As a Software Engineer, you will design, prototype, and develop software solutions for semiconductor equipment, focusing on machine learning and AI applications. Responsibilities include troubleshooting, documentation, and project requirements analysis.

Lead QA efforts to define test strategies, design and execute test plans, build and maintain lab environments, automate tests (including AI-assisted tools), track and drive defect resolution, and report quality status to stakeholders across cross-functional teams.

Develops, troubleshoots, and validates software programs, mentors junior engineers, and participates in QA activities. Strong knowledge of L3 protocols and coding.

Develop and maintain CI/CD pipelines and lab environments using containerization, virtualization, and cloud platforms. Automate tasks with scripting and IaC, monitor and troubleshoot systems for stability and scalability, ensure security and compliance, and collaborate with developers, QA, and IT to streamline build, test, and deployment processes.

Design, build, and optimize cloud infrastructure and deployment systems. Improve IaC, CI/CD, GitOps workflows, observability, and tooling to enhance scalability, security, and operational efficiency across cloud platforms.

Integrate and maintain commercial AI tools and LLM agents into VLSI design flows, coordinate multi-agent systems, optimize performance and QoR, deploy AI agents and chatbots, preprocess data, evaluate solutions, and train end-users to improve design productivity.

Design, build, and operate AWS cloud infrastructure, CI/CD, and developer enablement. Create IaC modules, deployment pipelines, security instrumentation, observability, and platform tooling to enable secure, reliable service delivery and improve developer experience.

Lead quality engineering for medical device products, authoring and managing design verification/validation, software/firmware testing, risk analysis, CAPA and complaint investigations. Support production troubleshooting, collaborate with contract manufacturers, ensure regulatory compliance (FDA/EU), and maintain quality system documentation and standards.

Develop high-performance C++ core framework software enabling collaborative multi-agent autonomy across air, ground, and maritime domains. Integrate with domain platforms, optimize real-time performance, automate tooling, and collaborate with autonomy engineers and product teams.

Design and implement multi-agent optimization and real-time planning algorithms for autonomous decision-making. Develop temporal logic and constraint-satisfaction frameworks, probabilistic sequential decision models, and human-interpretable computational systems. Optimize and evaluate algorithm performance and solution quality within containerized Linux environments to support mission-oriented human-machine teaming across air, land, sea, and space domains.

Develop and scale responsive front-end applications and backend APIs, implement real-time data streaming for maps and dashboards, integrate AI models, participate across the full development lifecycle, monitor performance, troubleshoot production issues, and write well-tested, maintainable code across the stack.