Software Engineer Jobs in Sunnyvale, CA

Develop and maintain on-vehicle services and frameworks that provision, execute, monitor, and instrument autonomous driving software across vehicles, simulations, and hardware. Build configuration and monitoring tooling, collaborate across teams, mentor developers, and deliver production-quality embedded software with a focus on testability.

Lead design and evolution of customer-facing digital commerce systems (checkout, billing, payments, subscriptions, catalog, cart, orders). Use AI-assisted workflows to accelerate coding, review, testing, and documentation while ensuring security and production readiness. Drive architecture and API decisions across modern web apps, improve engineering excellence (testing, automation, observability, DevOps), build reusable patterns, and coach engineers to raise team productivity and technical delivery.

Design, build, and maintain customer-facing digital commerce services (checkout, billing, subscriptions, catalog, cart, orders). Use AI-assisted workflows for coding, testing, review, and documentation. Develop scalable, low-latency APIs and services, improve observability, automation, and engineering practices, and partner with cross-functional teams to deliver reliable solutions.

The Senior AV Network Engineer designs and maintains a secure hybrid network for AV development, focusing on high-performance data connectivity and SRE principles to enhance operational efficiency.

Leads software engineering projects for an international promotions and rewards service. Responsibilities include translating requirements into scalable solutions, designing and developing code, unit testing, code and design reviews, troubleshooting production issues, root cause analysis, technical documentation, stakeholder communication, project planning, and mentoring teams of 4–6 engineers. Partners with product, UX, business, and project management teams to deliver reliable solutions and improve system performance.

Build and own LearnVector’s full-stack AI learning product, including frontend experiences, backend services, data layers, deployment infrastructure, streaming AI interactions, session memory, content pipelines, observability, testing, and CI. The role requires making foundational architecture decisions, integrating LLM APIs, operating production systems, and shipping frequent product improvements in an on-site, early-stage startup environment.

Lead the architecture, development, testing, deployment, and support of large-scale React Native mobile applications for Sam’s Club member service desks. Drive technical strategy across iOS and Android, mentor engineers, establish engineering best practices, optimize performance and reliability, and integrate Bluetooth-enabled peripherals and other connected hardware. Partner with product, design, operations, and engineering leaders to deliver mobile capabilities from concept through production.

Design, develop, test, and deliver scalable software solutions in collaboration with product, project, business, and UX teams. Troubleshoot production issues, perform root cause analysis, create technical solutions, and support implementation. Lead and mentor small engineering groups, develop CI/CD automation and telemetry, monitor application performance, and evaluate changes for feasibility while maintaining secure, sustainable, high-quality systems.

Leads the design and delivery of scalable, cloud-native platform capabilities, including infrastructure, tooling, ML frameworks, and AI-driven applications. Owns the full software development lifecycle from coding and testing through deployment, monitoring, and maintenance. Conducts system design reviews, applies resilient architecture principles, mentors engineers, influences technical decisions, and collaborates with stakeholders to convert complex business needs into technical requirements. Continuously improves engineering processes, tools, product quality, and system scalability through automation and data-driven practices.

Leads delivery of scalable, secure software across the full development lifecycle. Responsibilities include feature implementation, coding, testing, CI/CD, solution design, code reviews, AI/ML integration, application monitoring, defect support, stakeholder collaboration, and technical mentoring. The role supports distributed advertising and machine-learning platforms processing billions of signals daily.

Leads development and delivery of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Drives the full software lifecycle, applies cloud-native architecture, conducts system design reviews, builds AI-driven applications, mentors engineers, and influences technical decisions. Collaborates with cross-functional stakeholders to define requirements and improve engineering outcomes through data-driven practices. The role is full-time and onsite in Sunnyvale, California.

Lead scalable platform development across the full software lifecycle, including design, coding, testing, deployment, monitoring, and maintenance. Build cloud-native, AI-driven applications and integrate ML frameworks and automation. Conduct design reviews, influence architecture, mentor engineers, collaborate with stakeholders, and drive continuous improvement. The role requires broad full-stack experience, including Android development, Android SDK services, background processing, CI/CD, and observability.

Leads delivery of scoped software features and models for scalable web and membership-experience platforms. Designs, develops, tests, debugs, and maintains reliable software using Java, Python, Node.js, APIs, CI/CD, automated testing, and AI/ML integrations. Collaborates with stakeholders, conducts code reviews, monitors performance, translates requirements into technical solutions, supports production systems, mentors peers, and promotes engineering excellence and continuous improvement.

Leads delivery of scoped software features and AI/ML models using Java, JavaScript, and Python. Designs, develops, tests, deploys, and maintains scalable cloud-native systems; integrates AI and generative AI capabilities; performs code reviews and debugging; collaborates with stakeholders; monitors performance; drives continuous improvement; and mentors peers while ensuring secure, reliable, and maintainable solutions.

Leads platform engineering initiatives by architecting scalable cloud-native solutions, reusable infrastructure, and AI-enhanced applications. Drives the full software development lifecycle across multiple teams, provides technical leadership and mentorship, translates business needs into technical requirements, and promotes quality, innovation, operational excellence, and continuous improvement.

Leads scalable software feature and model delivery across the full development lifecycle. Responsibilities include coding, testing, debugging, code reviews, CI/CD, AI/ML integration, solution design, performance monitoring, stakeholder collaboration, technical requirements, production support, and peer mentoring. The role develops Java and Node.js services using REST and GraphQL APIs while promoting secure, maintainable engineering practices and continuous improvement.

Leads the design and delivery of scalable cloud-native platform capabilities, including infrastructure, tooling, ML frameworks, and AI-driven applications. Owns the full software development lifecycle from coding and testing through deployment, monitoring, and maintenance. Conducts system design reviews, mentors engineers, influences technical decisions, collaborates with stakeholders, defines success metrics, and drives continuous improvement across advertising media planning and order management products.

Leads Android software development across design, coding, testing, deployment, debugging, and production support. Develops scalable and secure mobile solutions using Kotlin and modern architectures, integrates AI and ML capabilities, conducts code reviews, supports CI/CD and DevOps activities, monitors performance, and promotes engineering best practices. Collaborates with cross-functional teams, owns feature delivery, mentors peers, and contributes to Walmart+ customer-focused platform improvements.

Lead development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Own the full software lifecycle from design and coding through deployment, observability, and maintenance. Apply cloud-native architecture to build resilient systems, integrate intelligent automation, conduct design reviews, mentor engineers, and influence technical decisions. Collaborate with cross-functional stakeholders to define requirements, measure outcomes, and deliver secure, maintainable software aligned with strategic priorities.

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.

Design, develop, test, and maintain scalable software applications and services. Collaborate with product, UX, and engineering teams on technical solutions, troubleshoot production issues, perform root cause analysis, and improve application performance. Lead and mentor small engineering groups, manage requirements and defects, create test cases, and implement automation and telemetry to support reliable CI/CD delivery.

Design and implement reliable userspace infrastructure for long-running engineering workflows on bare-metal Linux. Build state coordination over NFS, orchestration around IBM LSF, modernize legacy codebases (e.g., Perl to Go), and improve performance, observability, and operational tooling for large-scale distributed systems.

Develop system software and firmware for power management across Tegra automotive, embedded, and data center SoCs. Responsibilities include implementing power policies, debugging complex system issues, collaborating on performance and efficiency strategies, creating validation plans, and analyzing energy consumption. The role requires strong C/C++ and Python skills, system-level software experience, and knowledge of computer architecture, operating systems, and hardware-software interactions.

The role involves building and maintaining a workflow platform for chip engineering, focusing on automation, configuration systems, and debugging in a Linux environment. Responsibilities include managing workflows, improving diagnostics, and integrating job execution systems.

Design, build, and maintain large-scale AI/ML platform and infrastructure for training, inference, fine-tuning, and Agentic AI. Develop tools, APIs, reliability metrics, and root-cause analyses across application to hardware layers while improving efficiency, resiliency, monitoring, and observability.