Software Engineer Jobs in Sunnyvale, CA

Build and operate production-grade AI, data, and distributed systems for fraud intelligence. Responsibilities include real-time data pipelines, high-throughput architecture, LLM-powered agentic workflows, AI tooling, rule and label automation, ML pipeline productionization, privacy safeguards, and cross-functional collaboration. The role requires strong Python engineering, distributed systems, cloud infrastructure, big data technologies, and machine learning fundamentals.

Develop platform software for SOCs, including drivers, BSP, CI/CD automation, OS and multimedia driver bring-up, debugging, and system-level triage. Collaborate with OEMs and global engineering teams across the full product lifecycle from pre-silicon modeling through production. Contribute to architecture definition, boot, security, reliability, resiliency, and embedded-system software for Windows and Linux platforms.

Design and implement control plane software spanning SDN, ground systems, satellites, and terminals. Build scalable services and APIs for provisioning, configuration, automation, telemetry, and network operations. Address dynamic network conditions and integrate with cloud and on-premises platforms. Collaborate across data plane, platform, embedded systems, product, and quality teams while contributing to architecture, implementation, testing, debugging, and system integration.

Lead the technical vision, architecture, and implementation of the Data Ocean platform, building high-performance distributed storage capabilities across object, file, and block storage. Develop production C/C++ systems for caching, namespaces, tiering, replication, metadata, and data mobility. Drive architecture reviews, performance optimization, testing, and operational excellence while mentoring engineers and coordinating technical execution across global Engineering, Product, Architecture, cloud, and DevOps teams.

Build and maintain full-stack internal tools, web applications, backend services, APIs, automation, and cloud infrastructure supporting Honda engineering and QA teams. Work across AWS and Google Cloud Platform, integrate databases and source control systems, troubleshoot issues across the technology stack, automate workflows, and evaluate technologies that improve software development and testing productivity.

Develop high-performance dataplane software for TeraWave satellite communications points of presence. Responsibilities include building C/C++ packet-processing applications, optimizing 100G/400G line-rate performance, implementing routing and tunneling protocols, integrating SmartNIC and FPGA accelerators, architecting distributed systems, conducting code reviews, mentoring engineers, and collaborating with hardware, platform, and networking teams.

Develops and validates autonomous driving software across perception, localization, planning, prediction, and control modules. Responsibilities include software implementation, ML data pipeline development, driving log analysis, simulation and emulation, vehicle testing, algorithm research, and collaboration with Isuzu teams, partners, and research institutions. The role requires Python and C++, machine learning frameworks, robotic middleware, embedded deployment, real-time validation, and familiarity with automotive systems, CAN, functional safety, and autonomous driving architectures.

Lead architecture, design, and implementation of scalable MyAccount web and platform capabilities. Drive technical strategy across teams, develop applications and APIs, improve reliability, performance, observability, and security, and ensure robust automated testing. Mentor engineers, influence architectural decisions, connect technical initiatives to business goals, and maintain operational ownership of customer-facing systems.

Design, build, and operate secure, high-performance sandboxed runtime environments for multi-tenant Kubernetes workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; integrate container runtimes, lightweight virtual machines, and virtualization technologies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, runtime, virtualization, GPU, and security architecture.

Design and develop platform driver code across kernel and user space to model, stress, and verify hardware. Collaborate with hardware, software, and mechanical engineering teams to create test suites, support prototype bring-up, and enable large-scale AI datacenter deployments. Contribute to platform software architecture, system validation, and a collaborative startup culture.

Architect and develop highly scalable Android experiences and backend platforms for Uber One membership across UberEats and UberX. Lead technical strategy, Android feature development, platform evolution, microservices and API design, architectural improvements, testing and monitoring standards, incident management, and end-to-end delivery of complex technical projects. Collaborate with engineers, product managers, data scientists, designers, and external partners to deliver reliable products used globally.

Design and implement high-performance datapath features for load balancing, firewall rules, and Layer 7 protocols. Build scalable networking and security systems using C or C++, data structures, algorithms, and Unix/Linux optimization. Own architectural projects from conception through large-scale deployment while applying advanced knowledge of DNS, HTTP, TCP/IP, and SSL/TLS. Use AI tools to improve engineering workflows and problem-solving.

Design and implement high-performance datapath features for load balancing, firewall rules, and Layer 7 protocols. Build scalable networking and security applications using C or C++, advanced data structures and algorithms, and Unix or Linux systems. Own complex architectural projects from concept through deployment while applying expertise in DNS, HTTP, TCP/IP, and SSL/TLS to enhance global network infrastructure.

Design and build distributed manufacturing software coordinating state, timing, and behavior across hardware. Implement APIs, real-time controllers, instrumentation for ML/AI, and reliability/observability. Drive architecture decisions, improve CI/CD and testing practices, debug across software/firmware/hardware, and collaborate with cross-functional engineering teams to converge on a production-ready platform.

Build and optimize frontend advertising experiences and rendering libraries across platforms. Collaborate with design, product, and partner teams on UX, analyze ad-stack performance using data and monitoring systems, and drive improvements across complex, multilingual, multi-region, cross-platform web applications.

Lead architecture and implementation for reliable, scalable AI authoring platforms. Build cloud infrastructure, CI/CD pipelines, Kubernetes and Helm deployments, infrastructure-as-code, observability, disaster recovery, A/B testing, and release processes. Improve backend reliability, performance, security, and cost efficiency across Azure and Google Cloud. Partner with product and engineering teams on technical strategy, ML infrastructure, LLM inference, and AI-assisted game development tools.

Develop software infrastructure for autonomous vehicles, including in-vehicle systems, performance tuning, over-the-air update capabilities, and developer tools for robotics software. The role involves diagnosing issues, implementing solutions, and maintaining high technical standards across self-driving technology stacks.

Develop embedded C/C++ applications, middleware, system services, APIs, and persistent-data solutions for robotic surgical systems. Design multithreaded and inter-process communication software on embedded Linux, integrate CPU, GPU, FPGA, and other hardware components, and debug issues across application, operating-system, and hardware interfaces. Contribute to software architecture, testing, code reviews, CI/CD, product integration, verification, validation, and root-cause analysis in a regulated medical-device environment.

Lead architecture and technical direction for large-scale workflow and automation platforms. Build prototypes, validate architectural ideas through experiments, improve AI-native and agentic execution, and address performance, reliability, data, UX, safety, and cost challenges. Influence architecture across teams, establish reusable engineering patterns, participate in design reviews, mentor senior engineers, and guide platform modernization for high-volume enterprise systems.

Build and operate software automation for large-scale NVIDIA GPU infrastructure. Responsibilities include bare-metal provisioning, hardware validation, firmware and software upgrades, cluster lifecycle management, BMC and Redfish tooling, failure diagnosis, observability, incident response, and automated repair. The role supports NVL72 systems, BlueField DPUs, Linux, Kubernetes, and cloud or on-premises environments while coordinating across hardware, networking, platform, data center, and partner teams.

Investigate high-complexity failures across cloud storage platforms, firmware, and distributed systems. Analyze memory dumps, telemetry, and low-level code; build automated diagnostics, predictive monitoring, and AI-assisted tools; collaborate with hyperscale customers; and drive fleet-wide reliability improvements into core engineering roadmaps. The role is primarily in-office in Santa Clara.

Lead the optimization and performance analysis of distributed training and inference workloads on NVIDIA GPU platforms, with responsibilities including debugging, benchmarking, and ensuring reliability of large-scale AI systems.

Develop and enhance a high-performance S3-compliant file system using C/C++ and Linux. Responsibilities include technical design, full application development, system-level architecture, file system troubleshooting, research, testing, deployment, production support, technical reviews, and mentoring junior developers. The role also integrates monitoring and alerting capabilities and requires collaboration with global teams.

Design and implement software optimizations for Fleet Response operations, reduce operational costs, improve workload efficiency, and identify unnecessary operational tasks. Collaborate cross-functionally to analyze operational metrics, develop analytical frameworks, improve regression detection, and investigate performance issues. The role requires navigating complex distributed systems, working across codebases, and partnering with technical and non-technical teams.

Develop embedded Linux platform software for Intuitive’s Ion robotic surgical system. Responsibilities include C/C++ application development, kernel and driver integration, bootloader and hardware bring-up, system debugging, performance optimization, reliability engineering, verification and validation, and manufacturing transfer. The engineer collaborates across software, electrical, FPGA, manufacturing, clinical, and service teams, contributes to architecture and design reviews, and mentors junior engineers.