Software Engineer Jobs in Sunnyvale, CA

Leads the design and delivery of scalable cloud-native platform capabilities for Walmart Marketplace. Responsibilities include software development lifecycle ownership, coding, testing, deployment, monitoring, system design reviews, AI/ML application development, automation, technical mentoring, stakeholder collaboration, and continuous improvement of engineering processes and products.

Develop and validate software for Windows silicon bring-up, platform enablement, hardware and firmware features, device drivers, and system reliability. Build automated validation frameworks and regression suites, analyze performance and compatibility, debug system-level issues, and perform root-cause analysis across hardware, firmware, drivers, and operating system components. Collaborate with architects, engineers, and silicon partners through design, testing, and product enablement.

Design, develop, test, and maintain scalable platform software and services. Collaborate with architecture and cross-functional teams, implement platform features, participate in code reviews, document technical specifications, troubleshoot issues, and optimize performance and scalability. The role requires Go development, scripting, Kubernetes, cloud-native technologies, containerization, cloud networking, and CI/CD experience.

Build experimental applications and interactive tools for configuring experiments, monitoring execution, visualizing results, and capturing metadata. Integrate instrument APIs with SDKs, data services, backend systems, and automation workflows. Implement testing, logging, failure recovery, CI, packaging, and deployment improvements. Diagnose issues across application, performance, concurrency, native-code, and hardware layers while collaborating directly with scientists and engineers to deliver reliable software.

Lead design and delivery of scalable, cloud-native platform capabilities, integrating AI/ML and automation. Drive full software lifecycle, conduct design reviews, mentor engineers, define APIs and prototypes, and collaborate with stakeholders to turn complex problems into production solutions.

Develop and lead iOS features for Walmart’s in-store shopping experience, including Store Mode, Store Maps, Store Pages, QR functionality, and omnichannel capabilities. Design scalable architectures, collaborate with backend, product, UX, and design teams, mentor engineers, conduct code reviews, and own features through testing, deployment, monitoring, and optimization.

Build software platforms, AI agents, and automation for security design reviews, threat modeling, penetration testing, vulnerability discovery, and AI red teaming. Develop scalable infrastructure, data pipelines, integrations, evaluation frameworks, and safeguards for AI-driven security workflows. Own systems throughout their lifecycle, including design, testing, monitoring, production debugging, incident management, and performance improvements while collaborating with security, product, data science, and operations teams.

Leads model distillation, parameter-efficient fine-tuning, reinforcement-learning alignment, dataset development, quantization-aware training, and evaluation for multimodal AI models deployed on automotive edge hardware. Sets architectural direction for optimization pipelines, selects foundation models, manages continuous improvement loops, and ensures compact models retain reasoning, vision, language, accuracy, and safety performance after compression.

Designs and operates secure cryptographic services for a multi-tenant SaaS platform, including key management, PKI, certificate lifecycle, secrets distribution, and workload identity. Applies ML and statistical techniques to detect cryptographic misuse and anomalies. Responsibilities include Kubernetes operations, CI/CD, incident response, threat modeling, secure coding, code review, compliance with FIPS and regulated-environment requirements, and collaboration across product, architecture, and engineering teams.

Leads platform engineering and full-stack software development across the lifecycle, designing scalable cloud-native architectures, reusable infrastructure, and AI-enhanced applications. Provides architectural guidance, mentors engineers, translates business needs into technical requirements, and drives quality, observability, incident response, and continuous improvement across teams serving millions of users.

Leads end-to-end delivery of scalable, secure software features and models for Walmart’s fulfillment platform. Responsibilities include coding, solution design, AI/ML integration, testing, CI/CD, code reviews, performance monitoring, defect management, stakeholder collaboration, and mentoring. The role requires translating business needs into technical requirements, defining success metrics, and driving continuous improvement across the software development lifecycle.

Design, implement, review, and ship Azure Functions platform and open-source components in C# and other languages. Build scalable, secure, diagnosable distributed systems for serverless and AI workloads, collaborate on architecture, automate deployment, and apply AI tools across the SDLC.

Design and implement AI compiler features and optimization passes, using LLVM/MLIR and related tools. Develop code generation for new hardware, optimize AI workloads, and build AI software in C++ and Python. Collaborate with hardware architects and ML developers, define requirements, estimate effort, and drive coding standards and adoption.

Develop and validate low-level SoC software, firmware, kernel components, and test frameworks for complex computing platforms. Lead system validation, reliability, thermal and power characterization, manufacturing screening, platform bring-up, and root-cause analysis across hardware and software. Collaborate with engineers, customers, and partners to deliver high-performance, reliable data center, AI, HPC, autonomous, and space-based computing systems.

Develop and operate production AI/ML systems, including distributed model infrastructure, automated evaluation and testing, GPU optimization, secure CI/CD, and performance analytics. The role owns features end to end from architecture through production, performs model benchmarking and error analysis, and manages reliable deployment across multi-node clusters.

Build and improve full-stack features for a legal AI platform. Responsibilities include frontend and backend development, responsive interfaces, data models, APIs, integrations, data pipelines, testing, deployment, observability, debugging, and performance improvements. The engineer will work directly with users, own projects end to end, make architectural tradeoffs, and help shape product direction in an early-stage company.

Leads systems software prototyping and workload characterization for Azure hardware/software co-design. The role optimizes AI inference and LLM workloads, especially KV Cache placement, migration, and utilization across GPUs, CPUs, CXL memory, storage, and networks. Responsibilities include developing inference framework extensions, instrumentation, performance models, simulation frameworks, and memory-tiering proof-of-concepts while influencing long-term architecture and collaborating with hardware, software, workload, and industry partners.

Lead development of production embedded Linux platforms for GM vehicle compute systems. Design kernel modules, device drivers, BSPs, boot and recovery systems, and Yocto distributions for ARM-based SoCs. Drive performance optimization, complex hardware-software debugging, automated testing, CI/CD, diagnostics, and reliability improvements. Partner with silicon vendors, provide architecture and code-review leadership, mentor engineers, and coordinate platform delivery across automotive software teams.

Develop production-grade C++ software for General Motors’ Secondary Driving System, focusing on motion planning, controls, perception integration, and minimal-risk maneuvers. Design autonomy algorithms, optimize performance under real-time constraints, conduct simulation and on-road testing, debug cross-stack issues, and support functional safety and fail-operational requirements. Collaborate across robotics, ML, systems, safety, and vehicle engineering while mentoring other engineers.

Develop and evaluate cloud-native AI applications, agentic workflows, and production inference systems using NVIDIA frameworks, Kubernetes, vLLM, and Triton. Analyze AI solution performance, recommend product improvements, create tutorials and code samples, write technical materials, and demonstrate NVIDIA technologies at industry conferences while collaborating across product, marketing, hardware, software, and QA teams.

Design and implement intelligent automation for AV software development, testing, release, and operational workflows. Build CI/CD pipelines integrating simulation and hardware-in-loop testing, develop engineering data pipelines and metrics, and create AI-enabled tools for test analysis, failure classification, defect triage, reporting, and workflow orchestration. Establish evaluation, governance, security, and monitoring standards for AI solutions while improving release readiness, software quality, engineering productivity, and cross-functional visibility.

Design and implement AI-powered agent builder features and scalable web applications for the Moveworks Agentic Assistant ecosystem. Build web technology stacks including authentication, event tracking, application platforms, design systems, and backend APIs. Collaborate with product, machine learning, and engineering teams to improve user experiences, support global expansion, and drive customer adoption.

Design, build, test, and operate cloud-scale services and developer tools for Microsoft’s engineering inventory and ownership platform. Develop Inventory-as-Code workflows, validation, reconciliation, governance, integrations, audit capabilities, telemetry, and operational recovery. Collaborate with product managers and partner teams, independently deliver features, support on-call operations, investigate incidents, and improve reliability, scalability, and developer experiences through modern engineering and AI-assisted practices.

Build and maintain release infrastructure, vehicle connectivity, and over-the-air update systems for autonomous vehicle fleets. Responsibilities include designing, developing, testing, deploying, and improving mission-critical distributed software; optimizing build performance and costs; creating validation programs; managing project deliverables; improving documentation; and participating in business-hours on-call rotation.

Develop and own Nuro’s performance simulation infrastructure for autonomous vehicle software and hardware. Build benchmark orchestration, CI/CD quality gates, monitoring, self-healing automation, performance data pipelines, dashboards, and regression detection. Guide Linux, bare-metal, networking, and hardware configuration while partnering across engineering, SRE, hardware, and data science teams. Lead platform architecture, roadmap, resource allocation, and technical trade-off decisions across hardware generations.