Software Engineer Jobs in Sunnyvale, CA

Design, develop, debug, and support user-space software for enterprise hardware platforms and software-defined data centers. Work across storage, networking, operating systems, distributed systems, hardware bring-up, system validation, manufacturing release, customer deployment, upgrades, and fleet reliability. Build tools and automation in C, C++, Python, Go, and Rust; improve remote management, RAS, observability, and diagnostics. Partner with hardware, systems, OS, customers, and technology teams while leading cross-functional technical initiatives.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.

Develop and productize autonomous vehicle platform software for NVIDIA DRIVE. Lead scalable platform test infrastructure and validation workflows, integrate testing with CI/CD, and improve development efficiency on Tegra-based platforms. Collaborate across vehicle subsystems and multinational engineering teams while debugging complex multiprocessor embedded environments. The role requires strong C/C++/Python skills, embedded systems expertise, software-hardware integration knowledge, and effective cross-functional communication.

Conduct exploratory research, evaluate theories statistically, present findings to focus groups, and design and implement software. The intern will work on autonomous driving technology while collaborating with technical teams. Required qualifications include current PhD enrollment in computer science or a related technical field, Python programming fluency, statistical knowledge, and basic machine learning knowledge.

Develop and operate customer-facing Microsoft Advertising web applications, APIs, services, and data capabilities. Own full-stack features from architecture and design through implementation, deployment, monitoring, and support. Apply secure coding, testing, observability, AI-assisted development, experimentation, and operational excellence practices. Collaborate with product managers, designers, engineers, security partners, and customers while providing technical leadership and mentoring without formal people-management responsibilities.

Lead the technical direction and architecture of infrastructure and developer productivity platforms. Build and operate multi-tenant Kubernetes environments on GCP, scalable compute for CPU, GPU, and TPU workloads, automated CI/CD pipelines, infrastructure-as-code systems, secure AI sandboxes, and observability standards. Mentor engineers, guide design reviews, establish reliability practices, and deliver self-service tools that improve developer velocity, deployment frequency, and recovery times.

Design and develop high-performance dataplane software for TeraWave’s satellite communications network. Build packet-processing applications in C/C++ using DPDK and VPP, optimize 100G/400G line-rate performance, implement routing and tunneling protocols, integrate hardware accelerators, and architect scalable distributed systems. Provide technical leadership through code reviews and mentoring while collaborating with platform, hardware, and network engineering teams.

Provide technical pre-sales and consulting expertise for Microsoft’s GitHub, Visual Studio, Azure AI, and developer tools. Lead proofs of concept, hackathons, code-with sessions, and architecture workshops; design secure, scalable cloud-native solutions; resolve technical blockers; and help enterprise development teams adopt AI-powered DevOps and software development practices.

Lead d-Matrix’s Bazel migration and build infrastructure. Own the build graph, hermetic toolchains, caching, remote execution, test migration, reproducible builds, and CI/CD improvements across MLIR, Rust, C++, and Python codebases. Establish build-time metrics, improve cache reliability and performance, operate production executor infrastructure, and promote Bazel best practices across engineering teams.

Designs and implements evaluation, validation, testing, and simulation frameworks for autonomous vehicle software and ML systems. The role analyzes simulation and on-road data, develops performance metrics and confidence measures, performs root-cause analysis, automates regression detection, and communicates evidence-based insights to technical stakeholders. It requires strong Python skills, systems-engineering experience, analytical problem solving, and cross-functional collaboration.

Build and operate highly reliable card-issuing software and tooling across authorization, clearing, settlement, certification, and network integrations. Serve as a technical expert on card-network specifications, protocols, mandates, and production behavior. Lead complex cross-team engineering work, debug protocol-level issues, influence network requirements, mentor engineers, improve platform reliability, and participate in on-call support for critical financial systems.

Staff Software Engineer responsible for building and operating Block’s card issuing platform at the network boundary. The role requires deep expertise in card networks, ISO 8583, authorization and clearing flows, certifications, mandates, and direct network connectivity. Responsibilities include writing production code, developing conformance tooling, debugging protocols, leading cross-team technical initiatives, influencing network requirements, mentoring engineers, supporting AI-assisted development, and participating in on-call operations for critical financial systems.

Develop and operate scalable distributed systems for NVIDIA DGX Cloud’s GPU clusters. Responsibilities include Kubernetes-based GPU scheduling, operator and software development, cluster health monitoring, telemetry analysis, incident management, and improving the reliability, availability, scalability, and performance of AI infrastructure. The role collaborates across teams to maintain production systems supporting large-scale AI workloads.

Design, develop, and verify next-generation GPU driver and embedded software features. Diagnose and resolve performance bottlenecks for datacenter and gaming workloads. Collaborate with global hardware and software teams to deliver scalable, reliable GPU system-level solutions.

Design and build scalable search and AI-serving infrastructure for retrieval, ranking, personalization, and LLM-powered search. Develop backend systems, optimize GPU inference, integrate machine learning models, improve real-time feature serving, and ensure low latency, reliability, observability, and safe production rollouts. Collaborate with ML, data science, product, and platform teams while providing technical leadership, mentoring, and troubleshooting complex distributed systems.

Lead software development in test for Roche Digital Pathology products, designing automated verification for image-processing algorithms, pattern recognition, and platform integrations. Develop scalable data-analysis tools, cloud-based testing and deployment pipelines, and reusable automation frameworks. Collaborate with imaging scientists and product teams to validate technical performance and scientific accuracy, troubleshoot failures, support requirements and design reviews, and execute formal verification. Mentor junior engineers and promote software engineering, testing, and release best practices.

Develop and verify safety-critical embedded C software for multicore automotive microcontrollers powering autonomous vehicles. Responsibilities include RTOS, drivers, scheduling, bootloaders, middleware, actuator and power-management applications, CAN and Ethernet vehicle integration, hardware and vehicle bring-up, debugging, verification infrastructure, and ISO 26262-compliant requirements traceability. The role collaborates with systems, safety, hardware, controls, autonomy, OEM, and supplier teams.

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.