Software Engineer Jobs in Sunnyvale, CA

The Senior Software Engineer will enhance and unify simulator functionality for autonomous vehicle testing, collaborating closely with diverse teams to drive innovation.

Build and optimize Nuro's onboard software platform, device drivers, and performance tooling. Integrate and validate hardware and software, profile and tune latency/resource usage, and collaborate with autonomy, hardware, and safety teams to ensure reliable, high-performance vehicle behavior.

The Principal Software Engineer leads cloud platform projects, mentors junior engineers, and oversees the design and development of scalable applications.

As a Principal Engineer, you will design and implement components of a scalable e-Commerce platform, mentor junior engineers, and lead large projects.

The PCIe Senior/Lead Software Engineer will manage high-speed communication between hardware components, develop PCIe software, tune parameters, and create automated tests to ensure system reliability and performance.

The Senior Software Engineer will design and build machine learning systems for fraud detection, optimize tools, and develop real-time distributed systems using big data technologies.

Create developer-focused technical content, demos, reference examples, deployment guides, and docs-as-code workflows to accelerate adoption of NVIDIA enterprise AI software. Work across engineering, product, field, and partners to design developer journeys, build sample applications and notebooks, enable sales and partners, capture feedback, and engage the open source and cloud-native communities.

The Software Quality Assurance Engineer will develop and implement QA processes for the Self-Driving System, ensuring compliance with ASPICE and ISO standards, conducting audits, and driving continuous improvement in quality assurance practices.

Own and develop concurrent C++ backend services for Webviz to stream time-series and sensor data, integrate offboard storage and WebRTC, optimize latency and throughput, build APIs for automated triage/evaluation, plan technical roadmaps, and mentor engineers.

Lead design and implementation of an AI-native web platform, owning web framework, design system, CMS, CI/CD, infrastructure and SDLC agents. Define architecture, pioneer agentic workflows, set evaluation guardrails, mentor engineers, and drive cross-team technical alignment and migrations.

Build next generation distributed data storage and processing systems, including projects like Apache Spark and Delta Lake, while focusing on customer value and handling complex data engineering pipelines.

As a Staff Software Engineer focusing on backend development, you will design, implement, and operate micro-services for Databricks' platform, utilizing technologies like Scala/Java and cloud services.

As a Staff Fullstack Engineer, you'll lead efforts in creating user-friendly data applications, working extensively with JavaScript and modern frameworks while focusing on scalable product design and development.

As a Senior Software Engineer at Databricks, you will design and build advanced distributed data storage and processing systems focusing on optimizing performance and supporting various data workloads.

As a Senior Full Stack Engineer, you'll develop solutions for data visualization, manage compute clusters, and enhance user experience focusing on customer value with robust product workflows.

Develop motion planning software for autonomous trucks, utilizing sensor data to enhance planning algorithms and collaborate with engineers.

Lead design, build, and operate AIOps and observability platforms (metrics, logs, traces, alerts, dashboards). Define roadmap and standards, collaborate with teams, mentor engineers, and implement ML/LLM-based anomaly detection, forecasting, root-cause analysis, and agentic debugging across large-scale cloud, on-prem, and bare-metal environments.

Build and maintain Waymo's scalable, high-throughput, low-latency inference platform. Host and integrate internal and external ML models (including LLMs), optimize inference efficiency to increase throughput and reduce cost, and deploy model inference solutions for distillation, evaluation, dataset generation, active learning, and auto-labeling.

Develop and architect real-time observability software, pipelines, and visualization tools for the da Vinci robotic surgical system. Build analytics, event timeline visualization, log replay, diagnostics, and tools for system failure analysis. Collaborate across embedded, system, UI, test, and data teams to move prototypes to product while maintaining quality, reliability, and regulatory documentation.

Develop embedded ThreadX I/O drivers for Intel 5G Board Support Package on ARM platforms. Responsibilities include kernel/driver development, shared-memory and IPC mechanisms, debugging, and using software development/configuration management tools.

Develop and test Windows applications and reference apps for wearable devices. Create test strategies, write and execute unit/white-box/integration tests, automate testing, collaborate with global teams, and improve testing processes and SDLC practices.

Develop, test, and document embedded software and firmware for an SoC-based sensor/BLE board. Implement multi-channel data acquisition, optimize signal-processing and proprietary algorithms, create BLE/server communications protocols, build device drivers, perform testing, and produce documentation.

Design and execute test strategies for Windows-based applications supporting wearable devices. Create test plans and automation processes, perform white-box/unit/integration/regression testing, analyze bugs, and collaborate with product, design and global teams to improve SDLC and test practices.

Manage global software repositories, ensure build health, produce periodic builds, integrate vendor and team patches, automate patch and build workflows, and coordinate defect fixes into stable release lines for validation and release teams.

Create developer-facing technical content for NVIDIA's AI platform: test and evaluate training/inference features, write blogs and guides, build code samples and demos, benchmark multi-GPU systems, engage the developer community, and feed product feedback to engineering and product teams.