Software Engineer Jobs in Santa Clara, CA

Design, develop, and maintain scalable distributed software systems using Java, microservices, big data technologies, and containerized infrastructure. Improve search performance through indexing, maintain batch and real-time pipelines, deliver tested and monitored production code, and participate in design and code reviews. Troubleshoot production issues, support continuous integration and delivery, implement automated testing, and mentor junior engineers.

Design, build, and manage large-scale software platforms for enterprise storage infrastructure. Develop REST APIs, provisioning tools, monitoring, telemetry, deployment automation, and self-service storage capabilities supporting NVIDIA engineering and AI/ML teams. Manage distributed backend systems with high availability, integrate cloud and container technologies, evaluate technologies, and coordinate infrastructure deployments. The role also involves operational support, documentation, and collaboration across a matrixed organization.

Lead the design, development, testing, and delivery of scalable backend software and distributed systems. Translate business requirements into technical designs, write secure and maintainable code, troubleshoot performance issues, support high availability, and collaborate with cross-functional stakeholders. The role emphasizes software architecture, continuous integration and delivery, testing, defect resolution, telemetry, and operational improvement for Walmart’s eCommerce and supply chain platforms.

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.

Define the technical vision and architecture for AI-native cybersecurity solutions using LLMs, agentic AI, retrieval systems, and modern machine learning. Lead scalable distributed-system design, establish engineering standards, partner with product and security stakeholders, and connect innovation to customer outcomes. Champion AI-native development practices, represent technical strategy to executives and customers, mentor senior engineers, and lead cross-functional initiatives without direct authority.

Build and operate ingestion, reconciliation, and reporting systems that reconcile card-network and partner settlement files against internal transactions. Deliver end-to-end features for traceability, accounting journals, tax and regulatory reporting, and compliance tooling while ensuring reliability, scalability, and data privacy.

Leads the design and delivery of scalable platform capabilities for transportation planning, optimization, and execution systems. Responsibilities include cloud-native architecture, distributed systems, AI/ML integration, full software lifecycle management, CI/CD, testing, deployment, observability, and reliability improvements. Provides technical leadership and mentorship, translates business needs into technical requirements, drives architectural standards, and promotes innovation, knowledge sharing, and continuous improvement across engineering teams.

Develop and maintain generative AI applications using LLMs, RAG, prompt engineering, and orchestration frameworks. Build scalable Python APIs and microservices, collaborate with engineering and product teams, and support deployment, monitoring, troubleshooting, and optimization in Azure and AWS environments. Contribute to CI/CD, automated testing, containerization, infrastructure automation, code reviews, documentation, and Agile delivery.

Develop and maintain C++ and Python software models representing FPGA devices within Quartus Prime. Build high-performance APIs supporting synthesis, placement, routing, timing, and power analysis. Collaborate across hardware and software teams to integrate next-generation FPGA devices and create tools for FPGA device bring-up. The role requires strong software engineering, algorithms, data structures, communication, and experience with EDA or FPGA tools is preferred.

Designs and operates secure AI applications and backend microservices on AWS. Responsibilities include threat modeling, secure design reviews, vulnerability remediation, secure API development, AI guardrails, prompt testing, RAG pipelines, monitoring, audit logging, and incident readiness. The role collaborates with engineering, product, cloud infrastructure, and security teams to embed secure-by-design practices throughout the software development lifecycle.

Design, develop, test, and optimize system software for next-generation ARM-based SoCs across pre- and post-silicon phases. Analyze architectural bottlenecks, workload performance, and performance-per-watt tradeoffs; develop hardware/software policies and optimization strategies. Lead performance analysis, competitive benchmarking, architecture documentation, and adoption of improvements across NVIDIA software products and open-source SDKs.

Design and develop high-performance dataplane software for the TeraWave satellite communications network. Responsibilities include C/C++ packet processing with DPDK and VPP, line-rate optimization at 100G/400G, routing and tunneling integration, hardware accelerator interfaces, distributed dataplane architecture, benchmarking, code reviews, technical leadership, and cross-functional collaboration.

Analyzes and resolves customer equipment software and systems issues, investigates software failures, provides ticket-based support, and communicates issue updates. Creates and tests software change notifications, feature procedures, and customer documentation. Participates in software specifications, design, testing, and reviews, while assisting with training junior engineers and product operations.

Build and operate NVIDIA’s serverless AI inference platform across globally distributed, GPU-backed Kubernetes clusters. Lead feature implementation, testing, performance optimization, reliability improvements, customer issue resolution, reference architecture development, and technology evaluation. Mentor engineering teams on scalable AI/ML workloads and contribute to product requirements and roadmap development.

Conduct AI research for semiconductor manufacturing equipment, develop and evaluate solutions, translate research ideas into Python or C/C++ code, contribute to existing and new codebases, and share technical insights with the AI research team. Interns will complete meaningful project work, apply Lean principles, collaborate across cultures, and support the organization’s AI/ML research roadmap.

Design, build, and maintain high-performance, scalable Java backend services and microservices for Walmart's catalog platform. Troubleshoot production issues, perform root-cause analysis, mentor junior engineers, work in agile teams, and contribute to cross-functional projects while leveraging cloud, CI/CD, NoSQL, and generative AI/ML technologies.

Design, build, and operate services powering card issuance, transaction authorization, wallet provisioning, 3-D Secure, and disputes. Own features end-to-end within a microservice, event-driven architecture, write well-tested code, participate in reviews, and perform operational ownership including on-call and incident response. Leverage AI developer tools to improve velocity and quality.

Design and build end-to-end user features and multi-step AI workflows. Architect reliable, private, high-performance systems and infrastructure. Fine-tune and evaluate LLMs, mitigate hallucinations, and translate research into production. Drive product-focused engineering decisions and benchmarks to improve data and model performance.

Sets the technical direction for autonomous vehicle behavior validation, connecting requirements, safety claims, simulation, metrics, coverage, acceptance criteria, and release evidence. Leads scalable evaluation across synthetic tests, road data, and counterfactual references; guides validation tools, pipelines, workflows, and analysis products. Coordinates cross-functional technical reviews and translates complex results into launch and monitoring recommendations.

Sets technical direction for counterfactual autonomy behavior validation, including scene reconstruction, human and road-user response modeling, controlled scenario variation, simulation pipelines, outcome estimation, and validation. Converts real incidents into reproducible, auditable scenarios and establishes confidence, traceability, and appropriate use of simulation results. Leads cross-functional work across safety, simulation, human factors, legal, product, and operations to produce engineering actions, safety-case evidence, and release recommendations.

Build the enterprise platform for an AI creative product, including workspaces, permissions, SSO, audit logs, usage-based billing, invoicing, payment integrations, and security foundations. Develop backend services, APIs, and polished React/Next.js administrative interfaces for multi-tenant customers. Collaborate with founders, sales, and customers to define and ship enterprise features while taking increasing ownership of platform surfaces.

Lead design and delivery of secure storage software across OS, kernel drivers, microservices and containerized environments. Act as security consultant, manage vulnerability backlog and remediation, influence architecture and compliance (FIPS, Common Criteria, DISA STIG), mentor engineers, and evaluate vendors and technologies to ensure product security and certification readiness.

Design, build, test, ship, and operate services powering card issuance, transaction processing, and disputes. Own features end-to-end within a microservice and event-driven architecture, write well-tested code, participate in on-call incident response, and leverage AI tools to improve development velocity and quality while collaborating with cross-functional teams.

Lead DevOps engineering initiatives and developer teams building cloud-based solutions for regulatory and customer needs. Design and deliver systems using cloud-native technologies, microservices, machine learning platforms, containers, infrastructure-as-code, deployment tools, and distributed databases. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and promote iterative Agile delivery practices.

Develop optimized GPU algorithms and high-performance machine learning solutions for vector search, databases, and data processing. Responsibilities include designing, implementing, benchmarking, debugging, and optimizing C++, CUDA, and Python libraries; developing clustering and visualization algorithms; collaborating cross-functionally; and contributing to open-source projects such as cuML, cuVS, and RAFT.