Software Engineer Jobs in Sunnyvale, CA

Conduct performance analysis on large multi-GPU clusters, evaluate interactions between libraries and hardware, and develop tools for performance visualization and data analysis.

The Senior Systems Software Engineer will enhance software architecture, modularization, and integration of ADAS systems, ensuring scalability and efficiency within NVIDIA's platform.

Designs, implements, and validates autonomous driving software (perception, localization, planning/prediction, or control). Develops ML models and data pipelines, runs simulation and vehicle tests, collaborates with global partners, and optimizes systems for embedded/automotive deployment and safety compliance.

Design and implement perception capabilities within a core simulation engine to detect uncertainty, degradation, and failures. Build multi-fidelity sensor simulation and workflows, define uncertainty signals that trigger safe fallback behavior, collaborate with infrastructure and sensor teams, and deploy production systems affecting vehicle safety and ODD expansion.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

As a Software Engineer at SpaceX, you will develop reliable real-time software for the Starlink network, conducting testing and deployment across various environments, while ensuring effective feedback loops between software design and performance.

As a Software Engineer for Starlink, you'll develop reliable real-time software for satellite-based internet, participate in design reviews, and manage software testing.

Develop and integrate autonomous software for on-vehicle platforms, focusing on performance, fault detection, and validation strategies.

Design, implement, and maintain reliable embedded software for in-vehicle systems. Integrate vendor components and sensors, develop RTOS and Linux/Android applications, bring up custom devices, implement OTA and infotainment solutions, and use modern build tools and CI/CD to productionize products.

Design, implement, and deploy software and ML components for behavior prediction, state estimation, and decision planning. Build scalable data pipelines, transform raw sensor logs for training, and develop evaluation frameworks and tooling for model visualization, experiment tracking, and continuous delivery. Integrate models into low-latency production systems and maintain high code quality with rigorous testing.

Lead development and migration to a workflow-as-code management plane (Temporal) to provision and operate a global fleet (100k+). Build idempotent, replay-safe workflows, orchestration-ready platform APIs, AI/ML-driven SRE features, and deep telemetry for explainable, auditable fleet operations.

As a Senior Software Engineer, you'll develop Go-based services for managing large-scale GPU data center infrastructure, focusing on automation, APIs, and monitoring tools.

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.