Software Engineer Jobs in Sunnyvale, CA

Build and lead NVIDIA’s enterprise data governance platform, covering sensitive-information detection, governed access, export-control enforcement, audit logging, data connectors, and AI knowledge readiness. Design scalable backend, distributed, and data-processing systems; integrate enterprise content sources; evaluate ML classification models; enforce access-control fidelity; and ensure ingestion quality. Provide technical leadership through architecture decisions, code and design reviews, mentorship, and cross-functional alignment with Security, Legal, Finance, and platform teams.

Build and ship production web experiences across databricks.com (landing pages, blogs, hubs, events) on an AI-native platform. Implement components and page systems using a shared design system, integrate with CMSs, optimize for discovery and edge delivery, participate in code review, and adopt AI-native tools and agent-assisted SDLC practices to accelerate development.

Lead architecture and development of embedded networking software for surgical robotic systems. Own multi-year technical direction across the network stack, including reliability, low-latency switching, traffic shaping, messaging, session management, Ethernet drivers, and real-time safety-critical paths. Mentor engineers, lead reviews, resolve complex hardware-software failures, guide technology selections, and collaborate across engineering, clinical, and manufacturing teams.

Develops software, algorithms, and infrastructure for automated electro-mechanical equipment used to manufacture and test robotic surgical systems and medical devices. Responsibilities include hardware integration, manufacturing process optimization, validation activities, production software support, software architecture, diagnostic strategy, cross-functional project leadership, and mentoring engineers. The role requires strong software design, system-level thinking, analytical problem-solving, and technical leadership in a regulated manufacturing environment.

Design and implement real-time MAC data-plane software for high-throughput satellite links. Build packet-processing pipelines, queue and buffer management, retransmission and loss recovery, and integrate with PHY, modem, FPGA, DMA, and SoC hardware. Optimize for low latency and high throughput using zero-copy, scatter-gather, lock-free structures, and hardware offload. Lead architecture through prototyping, hardware integration, performance qualification, and operational deployment while diagnosing timing and synchronization issues.

Design and scale software-in-the-loop testing and simulation pipelines for autonomous vehicle software. Create synthetic scenarios, replay fleet logs, perform permutation testing, verify perception, planning, controls, and mapping, and assess simulator fidelity. Develop automated dashboards tracking safety metrics, coverage, and release readiness. The role requires onsite work five days per week in Santa Clara and collaboration across simulation and autonomy platform teams.

Own and evolve Commure’s foundational cloud infrastructure and internal developer platform. Responsibilities include managing multi-cloud infrastructure with IaC, operating Kubernetes fleets, building self-service developer tooling and CI/CD pipelines, managing GitOps deployments, designing service mesh and networking systems, operating observability platforms, and implementing zero-trust access. The role partners with Security on secrets, policy-as-code, HIPAA, and SOC 2 compliance while making architecture decisions and operating systems end to end.

Design and implement low-level Windows kernel and user-mode systems for endpoint telemetry, behavioral detection, and system instrumentation. Develop production-quality WDM/WDF drivers, kernel callbacks, synchronization, and user/kernel communication. Debug kernel crashes, concurrency, and memory issues; analyze Windows internals, scheduler behavior, and cross-version compatibility to improve endpoint visibility and security.

Own quality engineering for high-throughput payment systems by designing automated regression suites, performance and load tests, quality gates, external-system emulators, observability-driven test environments, and AI-assisted testing workflows. Partner with feature teams and product leaders to improve reliability, scalability, security, and transactional accuracy. Mentor engineers, support incident prevention, and embed automated validation throughout the software development lifecycle.

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.

Build and optimize conversion-focused web experiences, landing pages, demos, and growth systems. Instrument analytics, attribution, and experimentation; integrate APIs and automate workflows; apply AI to content, personalization, and experiment generation; and partner with Growth, Marketing, and Sales to drive qualified pipeline and measurable revenue outcomes.

Build end-to-end AI-driven restaurant products from discovery through production. Own full-stack interfaces, backend services, agent workflows, integrations (POS, reservations, telephony), evaluation systems, and instrumentation. Design agent workflows combining models, rules, memory, and human escalation. Work directly with product, design, and restaurant users to iterate, improve reliability, latency, accuracy, and cost, and ship production-quality solutions.

Join the Kernel Reliability team to improve the reliability of compute clusters, assist in debugging, and enhance system tools alongside hardware teams.

As a Data Engineer at MAI, you will develop and maintain data platforms, design ETL/ELT processes, ensure data quality, and collaborate with teams to optimize data utilization for analytics and ML applications.

As a Software Engineer at MAI, you'll build and design foundational platforms for AI agents, create data frameworks, collaborate with data scientists, and ship user-centric applications, driving the company's mission of autonomous marketing solutions.

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.

The Software Engineer for Performance Tooling and Infrastructure will develop and maintain performance benchmarks, data pipelines, and monitoring systems, ensuring the reliability and scalability of Nuro's testing tools for autonomous vehicles.

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.

Develop and implement safety-critical vehicular motion control software in C++ for articulated autonomous trucks. Characterize vehicle dynamics, build motion prediction models, test and tune controllers, specify requirements, and collaborate across planning, hardware, systems, and infrastructure teams to deliver robust, fail-safe control systems.

The Data Infrastructure Engineer will design, build, and operate scalable data infrastructure systems, ensuring reliability and performance while collaborating with various teams at OpenAI.

Build and own end-to-end features for claims, appointments, and payments-posting workflows. Ship production-ready full-stack code, design robust data models and APIs, ensure observability and reliability, collaborate with product/design/billing ops, review code, and help define technical standards. Focus on performance for data-dense screens and integrate AI where it improves biller productivity.

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.

Lead the architecture and optimization of automotive platform software, collaborating with hardware and software teams to improve performance and reliability while mentoring engineers.

Design, develop, and optimize core AV platform software including sensor drivers, data streaming/recording, GPGPU-accelerated processing, and vehicle interfaces. Collaborate with vendors, perform in-vehicle testing, and support large-scale data collection to deliver low-latency, high-performance autonomous vehicle software.

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.