Software Engineer Jobs in Sunnyvale, CA

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.

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.

Build and operate production-quality AI framework, runtime, benchmarking, performance, automation, observability, and developer-tooling systems. Optimize large language model training and inference across GPUs and Microsoft hardware, diagnose cross-stack reliability and performance issues, and improve model onboarding, hardware utilization, Azure efficiency, and deployment speed. Senior engineers own major components and projects; Principal engineers define technical direction, architecture, and multi-release strategy while leading cross-team initiatives and mentoring technical leaders.

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.

Design, implement, and operate large-scale Ads infrastructure on Azure. Build and optimize data ingestion, storage, and streaming pipelines; ship new ad-product features; apply ML/AI to improve ad quality; analyze data for technical design; and handle live-site escalations with customers.

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.