Software Engineer Jobs in Sunnyvale, CA

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.

Own the architecture and technical strategy for Square’s go-to-market systems. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex initiatives through architecture, implementation, testing, deployment, and operations while establishing AI evaluation, observability, security, reliability, and human-oversight practices. Partner with Sales, Product, Data, and Engineering leaders to translate business needs into scalable solutions, make build-versus-buy decisions, mentor engineers, and improve business impact through data and user feedback.

Supports software quality engineering for regulated robotic surgical devices from product development through commercialization. Develops quality processes, performs design and code reviews, manages software risks, and ensures verification, validation, traceability, and regulatory compliance. Partners with engineering, testing, regulatory, manufacturing, and post-market teams; supports audits and submissions; analyzes product performance and reliability data; and advances test automation and quality processes.

Architect, develop, and maintain scalable system test automation infrastructure for ZIA Core Datapath. Build automation suites validating cloud firewall, tunneling, load balancing, IPS/IDS, routing, and switching technologies. Perform functional, integration, performance, and scale testing; troubleshoot complex network, HTTP/SSL, and firewall issues; optimize regression cycles; and mentor engineers.

Architect, develop, and maintain scalable system test automation infrastructure for ZIA Core Datapath, a cloud security platform processing over 400 billion daily transactions. Build automation suites for L4-L7 technologies, validate firewall and tunneling stacks, perform functional, integration, performance, and scale testing, troubleshoot complex network and customer issues, optimize regression cycles, and mentor junior engineers.

Architect and build evaluation metrics, statistical and ML analyses, dashboards, and pipelines for autonomous driving systems. Analyze simulation and on-road time-series data, evaluate perception, prediction, and planning models, identify anomalous behavior, and support release-gating and safety decisions. The role requires production Python development, C++ codebase work, cross-team technical leadership, and integration of advanced AI models for scenario classification and validation prioritization.

Lead the architecture and strategy of autonomous vehicle evaluation systems. Develop metrics, statistical and machine-learning methods, automated workflows, dashboards, and release-gating criteria to assess AV performance, identify regressions, and support safety decisions. Collaborate with autonomy, simulation, systems, safety, and data teams across the development lifecycle. Analyze large-scale time-series data, investigate anomalies, influence technical strategy, and provide system-level insights for validated autonomous driving deployment.

Own the architecture and technical strategy for Square’s go-to-market technology stack. Build and operate production AI agents, automated workflows, and integrations that improve sales productivity. Lead complex technical initiatives, establish AI reliability and security guardrails, define evaluation metrics, and guide build-versus-buy decisions. Partner with Sales, Product, Data, and Engineering leaders while mentoring engineers and remaining hands-on across design, implementation, testing, deployment, and operations.

Lead development of a Windows Client Connector Agent, designing service-layer, UI, RPC, session, data, and telemetry components. Diagnose production crashes, race conditions, lifetime bugs, synchronization issues, and reliability problems in long-running Windows services. Manage VDI session and tunneling workflows, review code, improve engineering quality, and mentor developers. The role also involves maintaining enterprise endpoint software and applying Windows systems programming expertise to secure connectivity products.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Lead end-to-end performance optimization for LLM and VLM inference on NVIDIA GPU systems. Analyze workloads, build performance models, profile systems, optimize CUDA kernels and serving runtimes, and tune batching, caching, quantization, speculative decoding, and parallelism. Establish reproducible benchmarks and regression gates while collaborating across model, framework, networking, and GPU architecture teams. Contribute improvements to open-source inference projects including TensorRT-LLM, vLLM, and SGLang.

Build and enhance Clover’s billing platform using Java, JVM technologies, cloud platforms, and front-end frameworks. Responsibilities include designing and deploying applications, developing microservices and REST APIs, resolving customer-impacting issues, maintaining production systems, implementing test strategies, optimizing performance, and collaborating with product, business, and engineering teams. The role is fully onsite and supports billing operations across North America and global markets.

Integrate software across embedded systems, hardware interfaces, controls, and user-facing applications for advanced energy medical devices. Develop integration plans, test cases, procedures, and reports; perform software verification and validation; review code; troubleshoot prototypes; investigate root causes; and support system bring-up and stabilization. Collaborate cross-functionally to ensure safety, reliability, and performance requirements are met.

Build a Physical AI security platform covering threat modeling, cyber risk analysis, intrusion detection, security testing, investigations, and agentic workflows. Develop full-stack features with TypeScript, React, and a typed backend language; integrate web applications, AI agents, and autonomous devices; deploy LLM-powered capabilities; and model relational domains with traceability and durable asynchronous workflows.

Design and develop scalable, high-performance data and API infrastructure for real-time processing. Mentor engineers and collaborate with teams to enhance AI model evaluations.

The role involves designing and building data pipelines for analyzing user feedback on AI models, ensuring data quality and infrastructure scalability.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.

Design, develop, and maintain network datapath monitoring and observability infrastructure for GPU cloud services. Build real-time network telemetry and analytics pipelines across host networking, smart NICs, and overlay/underlay networks. Collaborate with DevOps, production, and data platform teams; troubleshoot Kubernetes and cloud networking issues; participate in on-call support, code reviews, architecture decisions, and continuous infrastructure improvements.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

The Senior Software Engineer will build AI solutions for clinical workflows, collaborating with teams to enhance software architecture and mentor other engineers.

Lead the technical direction, architecture, and delivery of large-scale machine learning systems for autonomous vehicle data. Develop autonomy algorithms, foundation models, deep scene understanding, causal models, high-quality datasets, and auto-labeling systems. Mentor senior engineers, define ML platform requirements, lead complex projects from conception through production, and coordinate integration across Uber engineering teams.

Develop platform software using container runtimes and Kubernetes to enable GPU-accelerated applications. Build GPU resource support for container orchestrators, integrate software across NVIDIA’s technology stack, and contribute to cloud-native systems. The role requires systems programming, Linux internals, distributed systems, cloud computing, and performance, security, and reliability expertise. Responsibilities include solving complex problems, managing multiple priorities, and collaborating across engineering teams.

Develops and maintains software quality solutions for semiconductor equipment, including test plans, automated validation tools, simulators, test benches, and documentation. Analyzes defects, troubleshoots software issues, supports bug fixes, and contributes to build, release, and DevOps processes. Collaborates with engineering, product, and customer teams while participating in code reviews, design discussions, and continuous improvement initiatives.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.