Software Engineer Jobs in Sunnyvale, CA

Leads the architecture and development of enterprise infrastructure automation and configuration management platforms across compute, storage, networking, data centers, cloud, and hybrid environments. Defines long-term technical strategy, builds secure and scalable integrations, applies AI to configuration intelligence and remediation, and remains hands-on with software development. Mentors senior engineers, establishes engineering standards, drives enterprise adoption, and partners with leadership on technical roadmaps and business outcomes.

Design, build, test, deploy, and support scalable software systems for NVIDIA cloud infrastructure. Develop network and systems automation for multi-tenant environments, manage APIs and distributed services, respond to operational events, contribute to open-source projects, and present technical roadmaps and demos to stakeholders and leadership.

Develop and ship autonomy software for outdoor, production robots across perception, localization, state estimation, motion planning, and controls. Build fleet coordination, simulation and CI, logging/telemetry pipelines, and operator tools. Validate on real hardware, support field deployments, and ensure software degrades gracefully at remote sites.

Build and operate a self-service calibration platform for autonomous vehicle fleets. Responsibilities include onboarding vehicle types, debugging cloud and vehicle systems, orchestrating calibration workflows, creating automated data-health gates for sensor data, developing production tooling, and coordinating systemic reliability improvements across teams. The role requires strong Python and modern C++, cloud workflow orchestration, CI/CD, containerization, large-scale data pipelines, sensor and robotics knowledge, and experience with physical systems or hardware-in-the-loop.

Develop and operate large-scale Azure cloud infrastructure software managing hyperscale hardware. Responsibilities include Linux device management, distributed cloud services, hardware interfaces, firmware and boot-flow integration, telemetry, health monitoring, automated remediation, debugging, root cause analysis, and reliability improvements. The role collaborates across hardware, firmware, platform, and operations teams while contributing to Linux and Open Compute Project ecosystems.

Design, implement, and operate AI platform systems, developer tooling, and Azure integrations. Lead architecture, testing, deployment, and production operations for cloud-scale infrastructure (build/release, Kubernetes, networking, observability, automation, security). Collaborate across teams to define requirements, estimate work, and deliver resilient automation and tooling using Go, Python, and Terraform.

Lead development of a massively distributed edge compute platform. Design fault-tolerant systems, external APIs, high-throughput traffic routing, and Kubernetes-based resource management. Establish architecture standards, reliability metrics, security practices, and technical governance. Collaborate with AI/ML, hardware, networking, and security teams; communicate risks to executives; manage customer requirements; review code; and mentor engineers on distributed systems best practices.

Develop trusted firmware and low-level system software for NVIDIA Tegra platforms and ARM architectures. Responsibilities include embedded systems and device-driver development, CPU architecture analysis, confidential computing standards, power, performance and security improvements, hardware bring-up, architectural evaluations, and taking designs from specifications through productization.

Designs, implements, and leads large-scale distributed systems and foundational AI infrastructure. Responsibilities include technical strategy, architecture, observability, security, testing, production automation, incident resolution, open-source collaboration, cross-team influence, mentoring, and improving infrastructure for AI workloads such as model inference.

Design, build, deploy, and maintain critical software supporting scientific experiments, instruments, data systems, and infrastructure. Translate ambiguous research needs into reliable software milestones, develop integrations and high-volume data workflows, solve concurrency and performance issues, and improve testing, observability, and release practices. The role also includes architecture decisions, code review, mentoring, technical leadership, and collaboration with scientists and engineers.

Develop and maintain embedded platform software for HPE routers, including routing engine redundancy, high availability, chassis and line card operations, fabric interconnects, optical modules, and diagnostics. Collaborate with system test teams, support product deployments, and assist with critical customer escalations. The role requires C, C++, Linux, and software maintenance experience, with preferred exposure to routing, hardware interfaces, device drivers, system bring-up, and FreeBSD/Linux internals.

Own ROS2 software integration between robotic end effectors and host compute platforms. Develop sensor-streaming nodes for cameras, depth sensors, and IMUs; optimize GPU-accelerated image processing; integrate vendor SDKs; maintain data collection infrastructure; and validate end-to-end sensing latency. The role requires hands-on robotics and embedded systems development, collaboration with research teams, and onsite work in Sunnyvale, California.

Design, build, and operate scalable, production distributed systems for publisher onboarding, ad quality, and monetization. Gather requirements, write reusable code, break down work, act as on-call DRI, and improve availability, performance, and observability while leveraging cloud and AI/ML technologies.

Build and maintain cloud-native, large-scale services for deploying, running, fine-tuning, and observing AI agents. Contribute to distributed systems, backend services, tooling, debugging, design discussions, and delivery of production-ready features with strong testing and reliability practices.

Develop software, frameworks, data pipelines, and quantitative methods to measure confidence in autonomous vehicle validation. Analyze simulation and real-world test data, evaluate coverage and predictive validity, detect regressions, define metrics and decision criteria, and improve validation workflows. The role requires collaboration across simulation, safety, autonomy, and release teams to support risk, readiness, and release decisions with defensible evidence.

Principal Software Engineer leading architecture and technical strategy for an in-vehicle AI assistant platform. The role spans Android Automotive client applications, cloud services, edge-cloud orchestration, conversational AI, gRPC, streaming interfaces, testing, telemetry, and distributed systems. Responsibilities include cross-functional architectural alignment, roadmap development, resolving complex reliability and privacy trade-offs, integrating AI frameworks, and mentoring senior engineering teams.

Develop and maintain CrowdStrike's macOS sensor using C/C++ and Swift. Design and deliver core endpoint features across OS subsystems (file system, memory, process, networking), optimize for concurrency, performance, and reliability, own features end-to-end, collaborate with distributed teams, and troubleshoot customer-reported issues.

Design, build, operate, and own scalable backend services and APIs for internal and customer-facing applications. Improve performance, observability, security, and reliability; lead architecture and API standards; troubleshoot production issues; support CI/CD and automation; mentor engineers and drive backend best practices across teams.

Develop and integrate embedded vehicle software across workstation, SIL, HIL, and target hardware. Own customer integration projects, integrate AUTOSAR software components and ARXML against generated RTE contracts, collaborate across software and hardware teams, and troubleshoot system reliability issues. The role requires embedded C/C++, electronic systems debugging, Linux, and Bash, with automotive protocols, AUTOSAR, Python, and CI/CD experience preferred.

Build and maintain scalable 3D simulation software for digital twins and synthetic data generation. Develop backend services, AI agents, distributed computing solutions, cloud applications, and frontend components. Optimize performance and reliability, collaborate with product and cross-functional teams, participate in code reviews, and guide innovative solutions involving physical AI, computer graphics, and deep learning.

Design, build, and operate large-scale, highly available platform services across GitHub (Actions, Enterprise AI, Identity, Billing, Git systems, database infrastructure). Provide technical leadership, mentor engineers, own architecture and APIs, participate in on-call incident response, drive reliability, security, testing, and roadmap decisions across cross-functional teams.

Defines technical vision and architecture for agentic engineering across Windows Silicon and System Integration. Leads AI systems from experimentation through production, creating closed-loop workflows for telemetry-driven issue detection, diagnostics, debugging, remediation, and validation. Establishes standards for orchestration, evaluation, observability, reliability, security, privacy, and responsible AI. Influences technical leaders, drives cross-organizational adoption, measures engineering impact, mentors teams, and expands successful agentic capabilities across Microsoft.

Build and productize agentic AI systems for GPU software development. Responsibilities include developing LLM-powered pipelines for code generation, bug triage, regression detection, and test analysis; creating MCP-based integrations with developer systems; owning agent lifecycle and evaluation; measuring quality metrics; and partnering with GPU kernel engineers to deploy reliable automation across software teams.

Design, build, and maintain high-performance backend systems and RESTful APIs using C# and .NET. Develop and optimize raw MySQL queries, support legacy .NET Framework code, manage multi-tenant databases, and integrate third-party platforms through REST APIs, webhooks, JSON, and OAuth 2.0. Use Visual Studio, Git, Azure DevOps, Docker, and cloud environments such as AWS and GCP. React, TypeScript, and Java experience are beneficial.

Build and lead development of NVIDIA’s open-source NeMo Core Platform for executing, evaluating, deploying, and optimizing agentic AI systems across local, Docker, Kubernetes, Slurm, on-premises, and air-gapped environments. Design platform APIs, plugins, SDKs, job orchestration, authentication, RBAC, observability, testing, and reliability features. Provide technical leadership through architecture and code reviews, mentoring, and ownership of complex cross-component problems.