Software Engineer Jobs in Sunnyvale, CA

As a Software Integration Engineer, you will deliver full-system features, manage integration projects, and ensure smooth deployment of software on customer platforms.

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.

Develop algorithms for state estimation, engineer production-quality software for sensor data fusion, and collaborate with multi-disciplinary teams on complex challenges.

The Senior Software Engineer develops methodologies to evaluate simulation realism, builds scalable data processing pipelines, and collaborates with teams to enhance simulation fidelity for autonomous vehicles.

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

As a Sr. Software Engineer, you'll enhance Databricks' customer support with AI-driven systems, ensuring improved automation and user experience across support engineering operations.

Build infrastructure for AI/ML environments, collaborate with teams for improvements, and interact with customers to enhance product features.

Design and optimize CUDA kernels and cluster-scale distributed systems for deep learning. Prototype system and compiler optimizations, profile hardware-software interactions, collaborate with researchers and architects, and deliver high-performance runtime tools and maintainable code for training and inference at scale.

Design, develop, document, and verify real-time embedded Linux software for stereo, high-definition surgical video and intra-body illumination. Integrate cameras and image sensors, evaluate video processing algorithms, extend processing frameworks to new hardware, build diagnostic and simulation tools, participate in risk analyses, and support system integration, verification, and transfer to manufacturing.

Lead quality engineering for mission-critical ERP and enterprise systems. Architect and execute end-to-end integration testing, validate SAP and Coupa transactional integrity, drive data reconciliation and lifecycle audits, lead production escalations and root-cause analysis, and enforce quality governance across the Agile/Scrum SDLC to ensure stable, compliant financial and procurement operations.

The role involves developing and implementing features for the CUDA driver and collaborating on solutions for NVIDIA's compute platform, requiring strong coding and design skills.

The role involves developing automated tests and tools for NVIDIA software, focusing on improving quality and efficiency through Python programming and AI-assisted development tools.

The role involves leading the design and development of machine control software for semiconductor manufacturing, ensuring integration and reliability across systems.

The Senior Software Engineer will enhance the platform through collaboration, technical leadership, and by developing high-quality frontend components, ensuring best practices and performance.

Design, implement, and optimize foundational CUDA C++ libraries, parallel algorithms, utilities, and runtime abstractions. Own features across design, implementation, testing, profiling, benchmarking, documentation, and maintenance. Collaborate with compiler, Python, and Rust teams, engage with users on performance and correctness, and improve developer productivity through diagnostics, tooling, and CI integration.

The role involves bridging machine learning and systems engineering to enhance autonomy performance by optimizing data quality and developing frameworks for synthetic data in autonomous systems.

Develop and enhance networking systems software (including Junos/Junos Evolved) for Campus & Branch products. Design, code, test, and integrate software for operating systems, networking protocols, and forwarding ASICs; debug issues; collaborate with product, architects, and stakeholders to deliver reliable networking solutions.

Design and implement a high-performance, low-latency Java OLAP calculation engine core. Collaborate with product to translate designs into executable criteria, ensure correctness and performance, communicate technical concepts, and advocate for quality and robust JVM-level tuning and language/design improvements.

As a Sr. Staff Software Engineer, you will optimize large-scale distributed systems, deliver scalable architectures, debug, mentor engineers, and drive technical projects across teams.

Design and implement user-facing features for PlanPoint, prototyping GUI elements, producing robust C++ code, contributing to system architecture and documentation, and working cross-functionally on the Ion medical imaging planning platform.

Design and build developer-facing infrastructure and tools to enable reliable, reproducible CI/CD for safety-critical flight software. Provision and manage AWS and on-prem resources with Terraform, integrate CI pipelines (GitHub Actions), support SIL/HITL testbeds, bridge embedded flight software with simulation and IT, and automate workflows with scripting and Linux administration.

As a Senior Full Stack Software Engineer at Orum, you will own product features end-to-end, design scalable systems, collaborate with cross-functional teams, and drive technical excellence while mentoring your teammates.

Lead and hands-on build key PaaS features: design, implement, and operate distributed systems on Kubernetes and multi-cloud (AWS/Azure/GCP). Manage and mentor a small engineering team, drive architecture and technical decisions, own feature lifecycles, recruit, and partner with product to deliver scalable, secure network-routing capabilities.

Own and evolve the core platform for model APIs and agentic products: build high-throughput, low-latency distributed services, data pipelines, SDKs, context retrieval, observability, and collaborate with ML/product teams to meet strict latency and reliability SLIs.