Software Engineer Jobs in Santa Clara, CA

Designs, develops, and improves advertising optimization algorithms for budgeting, pacing, bidding, ranking, and campaign performance. Collaborates with data scientists, product teams, and engineering organizations to build scalable, low-latency services and prediction models. Develops simulation and dark-canary systems for safe iteration, provides technical leadership, mentors engineers, and drives reliable, observable platform infrastructure and architectural standards.

Build and maintain Python-based ETL pipelines, data models, integrations, and backend platform logic. Apply agentic AI workflows to infrastructure data for automation, correlation, and root cause analysis. Collaborate directly with customers to understand technical environments, implement integrations, support deployments, and translate feedback into engineering improvements. Work with cloud platforms, containers, SQL, complex data structures, and production systems while contributing to testing, automation, and customer enablement.

Design, develop, and deploy enterprise agentic AI applications using LLMs, RAG, AI agents, and orchestration frameworks. Build scalable AI services, models, APIs, and integrations with PLM, SAP, and other enterprise systems supporting engineering and manufacturing workflows. Collaborate with business and IT teams throughout the SDLC, improving solution quality through prompt engineering, evaluation, optimization, and production support.

Lead design and implementation of Switch Abstraction Interface (SAI) software for network switches, align SONiC models with SAI goals, drive architecture, optimize performance and serviceability, represent Cisco in the SAI open-source community, and mentor engineers while collaborating with hardware teams.

Leads the technical vision and architecture for Walmart’s business-critical transportation platform. Responsibilities include designing scalable cloud-native distributed systems, overseeing the full software development lifecycle, ensuring high availability and reliability, integrating AI/ML and agentic AI capabilities, mentoring engineering teams, translating business needs into technical requirements, and driving continuous improvement across platform engineering efforts.

Senior Software Engineer responsible for designing, developing, testing, deploying, and monitoring scalable software for Sam’s Club Scan & Go. The role requires Node.js and Java development, AI/ML integration, CI/CD, automated testing, performance monitoring, technical design, stakeholder collaboration, and peer mentoring. The engineer will own feature delivery, troubleshoot application issues, promote engineering best practices, and support reliable, secure, maintainable mobile application experiences.

Lead the architecture and development of scalable, resilient, multi-tenant last-mile delivery platforms. Design distributed services, establish engineering standards, drive technical modernization, and guide teams on high- and low-level designs. Collaborate with product, architecture, cloud, analytics, and international engineering teams. Build cloud-native microservices, CI/CD pipelines, and messaging solutions while supporting hiring, agile delivery, technical prototyping, and cross-functional technical leadership.

Design, build, and maintain backend services, platform infrastructure, and cloud deployments. Debug distributed production systems, architect IaC and networking, provision on-prem hardware, support customer deployments and integrations, and collaborate with research, product, and customer success to deliver reliable, scalable production software.

Build and maintain SRE microservices supporting a global GPU infrastructure platform. Implement GitOps, declarative configuration, and CI/CD automation; monitor metrics, logs, and traces; support operational readiness through on-call participation, runbooks, and incident reviews; and write unit, integration, and end-to-end tests. Work with senior engineers to deliver production-ready platform features while maintaining service reliability and infrastructure consistency.

Design, develop, and deploy scalable backend systems and RESTful services. Build microservices and distributed architectures, optimize performance and reliability, and manage cloud-based applications. Develop CI/CD automation, containerized deployments, database integrations, monitoring, and comprehensive testing strategies. Collaborate cross-functionally, participate in code reviews and design discussions, troubleshoot issues, and deliver reliable products aligned with business requirements and testing goals.

Build and ship production agentic systems for Roku’s streaming platform, including multi-step agents, internal tooling, real-time telemetry processing, distributed services, and hardware-in-the-loop workflows. Engineers own features across platform, application, UI, and cloud integration while working with AI tools on unfamiliar codebases. The role requires strong systems or infrastructure fundamentals and an existing shipped agentic project used by others.

Designs, develops, and maintains processor-generator infrastructure, build and delivery systems, database integrations, REST APIs, web applications, automated testing, and release processes. Builds Java and React applications, configures application servers, manages SQL and NoSQL databases, automates fulfillment, supports production operations, and collaborates across engineering, marketing, applications, and order-processing teams.

Develop Linux kernel and user-space power and thermal management software for NVIDIA Tegra and embedded platforms. Optimize performance, efficiency, latency, compute and memory utilization for edge AI and robotics workloads. Collaborate with hardware, software, and power architecture teams on platform estimation and optimization. Requires strong C, Linux, embedded systems, ARM, and system-level debugging experience.

Design, implement, and operate large-scale observability and telemetry platforms focused on performance, reliability, monitoring, logging, and alerting. Manage services throughout their lifecycle, including system design, deployment, capacity planning, automation, incident response, and postmortems. Build infrastructure tools and frameworks for private and public cloud systems, improve availability and latency, and participate in on-call support for production environments.

Design, develop, evaluate, and deploy AI-powered features for Zoom’s workforce engagement platform. Build LLM and prompt-based systems, integrate AI into production workflows, improve model accuracy through evaluation frameworks and feedback loops, and troubleshoot production issues. Collaborate with product managers, data scientists, and engineers while writing tested, documented, scalable software.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

Deploys, integrates, and operationalizes vehicle intelligence products for customers in complex environments. Combines software engineering, operating system configuration, system deployment, hardware integration, and customer engagement. Designs scalable architectures, bridges customer systems with Applied Intuition solutions, collaborates across engineering and product teams, and owns technical outcomes through project completion while adapting to changing requirements.

Build and maintain AI-driven workflows, agentic systems, automated operations tooling, cloud infrastructure, and CI/CD pipelines. Handle monitoring, incident triage, backend production issues, and field-operations support. Contribute across the full stack, communicate technical decisions to non-engineering stakeholders, and improve manual processes through automation. Required capabilities include cloud infrastructure, LLM and MCP development, Linux, CI/CD, full-stack engineering, and strong communication.

Develop and validate storage test software and tools based on industry specifications and firmware algorithms. Responsibilities include coding and debugging in C++, Python, JavaScript, and related technologies; designing storage test tools and APIs; automating builds, deployments, testing, and performance reporting; validating functionality and scalability; and creating technical documentation. The internship lasts six months, requires 40 hours per week, and is located in San Jose.

Leads the architecture and delivery of large-scale, cloud-native data pipelines supporting search and personalization. Owns ingestion, transformation, orchestration, testing, deployment, monitoring, data quality, lineage, and reliability for batch and streaming systems. Provides technical leadership and mentorship, partners with machine learning and product teams, establishes architecture standards, and drives innovation across data engineering infrastructure.

Build and own an internal manufacturing data platform, including a web portal, REST API, databases, automated pipelines, dashboards, data validation, traceability, cost and inventory tools, and reporting. Collaborate with engineering, test, operations, and supply-chain teams across sites; administer access, security, backups, and documentation; train users and drive adoption.

Develop and optimize GPU-accelerated deep learning inference software for LLMs, multimodal, and generative AI models. Contribute features to vLLM, SGLang, FlashInfer, and NVIDIA inference libraries; implement algorithms, tune performance across GPU architectures, and improve large-scale model serving. The role requires strong C/C++ software engineering, collaboration across framework teams, and expertise in profiling, debugging, performance modeling, GPU programming, or multi-GPU communication.

Lead the technical strategy, architecture, development, and operational excellence of Walmart’s large-scale experimentation platform. Design reliable backend services and pipelines, guide cross-organizational initiatives, mentor senior engineers, and partner with data science, product, and engineering leaders. Drive experimentation capabilities, feature-flag deployments, incident resolution, observability, security, emerging-technology adoption, and alignment between platform architecture and long-term business objectives.

Develop, validate, and productize sensor calibration and egomotion algorithms for autonomous vehicles using classical and deep learning methods. Implement high-performance C++/CUDA code, build fleet monitoring tools, run in-vehicle tests, triage calibration issues, and collaborate with OEM partners to deploy calibration features across vehicle variants.