Software Engineer Jobs in Sunnyvale, CA

Architects and develops datacenter power and performance-management software, including real-time controllers, dynamic provisioning, power policies, and hardware-software interfaces. Responsibilities span architecture, pre-silicon validation, silicon bring-up, productization, deployment, and production support. The role investigates complex firmware, driver, hardware, and platform issues; develops validation automation; and collaborates with GPU, ASIC, firmware, driver, and datacenter systems teams to optimize performance, power, thermal behavior, reliability, and energy efficiency.

Develop and optimize Linux kernel features for enterprise storage products. Maintain and patch kernel code, resolve customer issues, optimize performance, and diagnose hardware-software problems. Lead software architecture from concept through release, collaborate with vendors and cross-functional teams, participate in code reviews, define requirements, and mentor peers. The role requires deep Linux kernel, Unix, device driver, operating systems, networking, debugging, and performance optimization expertise.

Architect and develop low-level GPU power and performance-management software, including P-state management, DVFS, real-time controllers, and power-management policies. Lead features through architecture, validation, silicon bring-up, productization, and deployment. Collaborate across hardware, firmware, driver, validation, and data-center teams while debugging complex system issues and developing automation for performance, power efficiency, stability, and reliability.

Build and scale Moveworks’ generative AI conversation engine for enterprise use. Responsibilities include designing scalable APIs, optimizing low-latency multilingual dialog systems, developing infrastructure for model customization, implementing logging and tracing frameworks, improving observability, and collaborating with ML, application engineering, product, and support teams. The role also champions engineering best practices, system robustness, performance optimization, and rapid innovation.

Develop safety-critical embedded C++ software for autonomous vehicles, including onboard firmware, simulation tooling, hardware interfaces, platform bring-up, unit testing, debugging, telemetry analysis, and fault validation. Collaborate with embedded and systems engineers through design reviews and code reviews while supporting new vehicle platforms.

Develop Linux kernel and user-space power and thermal management software for NVIDIA Tegra SoCs and embedded platforms. Collaborate with hardware and software teams to estimate and optimize platform power, while improving performance, efficiency, responsiveness, compute and memory utilization, latency, and power consumption for edge AI and robotics workloads.

Develop application software architecture for autonomous-vehicle perception and sensor-fusion systems. Integrate and tune NVIDIA solutions in target vehicles, lead bring-up activities, troubleshoot system issues, analyze in-vehicle and simulation data, and optimize hardware-software performance. Collaborate with architecture, development, partner, and global engineering teams to deploy scalable autonomous-driving solutions.

Analyze low-level Windows software behavior in user and kernel mode using memory dumps, registers, disassembly, and source code. Conduct reverse engineering investigations, identify root causes, communicate evidence-based findings, and partner with development teams on reliability improvements. Build tooling and automation for runtime analysis, diagnostics, validation, and debugging while collaborating with globally distributed engineering teams.

Develop and prototype software features and algorithms for a flexible robotic surgical platform. Work across embedded, algorithm, GUI, and application layers while troubleshooting complex software, hardware, and electromechanical systems. Collaborate with product, clinical, and engineering teams in an exploratory environment, taking independent technical ownership of projects and rapidly evaluating new concepts.

Build a full-stack command-and-control platform for defense applications. Responsibilities include developing configurable frontend interfaces with 2D/3D visualizations, supporting live and simulated data, integrating with simulators and autonomous systems, and collaborating with Design to create intuitive mission-planning, monitoring, and debrief workflows. The role requires strong UI/UX judgment, spatial reasoning, and the ability to work on a rapidly iterating product team.

Own the end-to-end architecture of ServiceNow’s entitlement, usage metering, overage, and billing platform. Define technical vision, data models, integration contracts, and reliability standards for distributed systems processing high-volume usage and AI-driven consumption. Lead cross-team architecture decisions, production incident resolution, and technical strategy while partnering with Product, Finance, Sales Operations, and Engineering leadership. Mentor senior engineers and contribute hands-on to critical components.

Design and implement AI-native security features and frameworks, write high-quality Java and JavaScript code, and guide application teams on secure implementations and AI usage. The role involves architecture, performance, scalability, maintainability, technical communication, and collaboration with design and platform teams. The engineer will mentor software engineers, influence security standards, and deliver robust security capabilities on aggressive deadlines.

Design, develop, and architect scalable Golang software supporting enterprise data architecture. Lead technical design, collaborate across teams, mentor engineers, solve complex technical problems, and contribute to Agile delivery practices. Ensure software quality through code reviews, automated testing, CI/CD, and operational support while shaping technical roadmaps and architectural direction.

Build and operate full-stack vehicle software integrity systems using Next.js and Go. Develop data visualizations and dashboards, extend shared component libraries, collaborate with product and design teams, and ensure code quality through testing, reviews, debugging, and performance analysis. The role requires technical ownership, architectural decision-making, cross-functional communication, mentoring, and effective delivery amid changing priorities.

Leads development of behavior validation products for autonomous vehicle software, including dashboards and scorecards. Partners with engineering, safety, product, and AI teams to define roadmaps, prioritize improvements using data-driven analysis, and deliver scalable, reliable validation tools. Implements Python-based technical solutions connecting data pipelines to user interfaces and supports AV launch and release decisions.

Lead hands-on storage software engineering for large-scale GPU clusters. Contribute to open-source parallel and distributed file systems, write and review production code, troubleshoot I/O, metadata, corruption, and recovery issues, validate performance and durability through scale testing, and establish configuration and operational standards. Collaborate with AI, SRE, networking, security, cloud, and storage teams while supporting high-performance storage across cloud, neocloud, and on-premises environments.

Lead technical strategy and development for autonomous vehicle localization, navigation, sensor fusion, pose estimation, visual and lidar odometry, and calibration systems. Build high-reliability C++ software, define evaluation metrics, optimize sensor performance, resolve complex localization issues, and mentor engineers while setting technical direction across the organization.

Lead technical strategy and architecture for developer platforms and AI-powered engineering productivity solutions. Design scalable platform services, guide automated testing and application lifecycle management capabilities, evaluate emerging technologies, and influence architecture across engineering teams. Build prototypes, address scalability, reliability, observability, security, and performance challenges, collaborate with Product and Design, establish engineering standards, and mentor senior engineers.

Build and operate ingestion and reconciliation pipelines that match card-network and partner reports against internal transactions. Develop reporting products, produce standardized journals for accounting, support tax and regulatory filing systems, handle sensitive PII for compliance, debug production issues, and collaborate with finance, product, and data teams to automate and scale reconciliation and reporting.

Design, build, test, and maintain enterprise integrations and automations across procurement, finance, and supply chain systems using MuleSoft and Zip iPaaS. Develop Python tools, write and optimize SQL, collaborate with stakeholders, ensure scalability and security, monitor production integrations, and contribute to documentation and DevOps practices.

Design, build, and operate scalable IAM solutions across cloud, Kubernetes, SaaS, and internal systems. Lead end-to-end IAM projects: role design, privilege reduction, access reviews, SIEM observability, and automation to continuously de-risk access and enable secure engineering velocity.

Graduate software engineering interns will analyze autonomous driving behaviors, build automated pipelines for undesirable-event response, improve behavior-detection signals, and quantify driving performance. The role involves Python or C++, data analysis using SQL or Python, and data-focused experimentation. Preferred experience includes machine learning model training and evaluation, agentic systems, C++, and large-scale distributed systems. The internship is hybrid and onsite.

Build scalable machine learning pipelines, data and training infrastructure, distributed processing workflows, and reusable software systems for foundation-model research. Own codebase health, testing, reliability, maintainability, and performance across ML workflows. Collaborate with researchers and engineers to translate model and experiment requirements into robust systems supporting large datasets, large models, multimodal data, video, robotics, and embodied AI.

Develop autonomy algorithms that extract semantic meaning from urban driving data, architect onboard systems, optimize evaluation datasets, and deploy machine learning techniques into production. The role involves managing sensor dependencies, defining performance metrics, identifying complex edge cases, and collaborating with platform, product, and security engineering teams to support autonomous vehicle data and safety-critical systems.

Develop autonomy algorithms that extract semantic meaning from complex driving scenarios and enrich Uber’s autonomous vehicle data lake. Design onboard systems, manage sensor dependencies, define evaluation datasets and metrics, and deploy machine learning techniques into production. Collaborate with platform, product, and security engineering teams. The role focuses on physical AI, deep scene understanding, causal modeling, and robust solutions for safety-critical autonomous driving systems.