Software Engineer Jobs in Santa Clara, CA

Leads software engineering projects and developer teams building distributed microservices and cloud-based backend solutions. Collaborates with product managers, mentors engineers, evaluates code, and addresses regulatory and customer needs. Uses technologies including Java, Python, Go, Node.js, SQL, AWS, Docker, Kubernetes, relational databases, and NoSQL databases while staying current with emerging technologies and AI tooling.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.

Design, develop, and maintain network datapath monitoring and observability infrastructure for GPU cloud services. Build real-time network telemetry and analytics pipelines across host networking, smart NICs, and overlay/underlay networks. Collaborate with DevOps, production, and data platform teams; troubleshoot Kubernetes and cloud networking issues; participate in on-call support, code reviews, architecture decisions, and continuous infrastructure improvements.

Build and operate Block’s data platform, including warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop reliable Python services, developer tools, and Terraform infrastructure for petabyte-scale data. Partner with data practitioners and product teams, establish engineering standards, provide technical direction, and mentor engineers while ensuring security, reliability, observability, usability, and data governance.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

Build and operate a scalable data platform supporting warehousing, orchestration, business intelligence, governance, and agentic workflows. Develop Python services, Terraform infrastructure, and developer tools for petabyte-scale data. Partner with data practitioners and product teams, establish security and reliability patterns, set technical direction, improve engineering standards, and mentor engineers.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

Design, develop, and maintain Linux graphics driver features for NVIDIA GPUs, focusing on Vulkan, OpenGL, and Wayland support. Collaborate with hardware, architecture, OEMs, and test automation to ensure performance, reliability, and timely regression detection across Linux platforms.

Develop platform software using container runtimes and Kubernetes to enable GPU-accelerated applications. Build GPU resource support for container orchestrators, integrate software across NVIDIA’s technology stack, and contribute to cloud-native systems. The role requires systems programming, Linux internals, distributed systems, cloud computing, and performance, security, and reliability expertise. Responsibilities include solving complex problems, managing multiple priorities, and collaborating across engineering teams.

Develop cloud infrastructure and DevOps software across the SDLC, implement features and tests, drive operational excellence, coordinate and lead engineering work, set engineering standards, improve processes, and represent PayPal with partners and customers.

As a GPU Simulation System Software Engineer, you'll develop infrastructure for GPU simulations, coordinate with architects, and improve workflows for next-gen GPUs.

Support vehicle platform security assessments and help design secure boot processes for embedded devices. Partner with hardware engineers on HSM integration, encryption, key management, and cryptographic operations. Collaborate with software, hardware, QA, and product teams to integrate security throughout product development. This entry-level role provides mentorship while developing expertise in embedded and automotive cybersecurity.

Contribute to Venmo's cloud infrastructure and DevOps tooling under senior guidance: build automation and IaC, support CI/CD and pipelines, participate in on-call rotations, troubleshoot incidents, write tested code, and collaborate with cross-functional teams to deliver reliable, scalable AWS/EKS-based services.

Designs and maintains Eclipse-based IDE components, REST API servlets, web applications, database interfaces, and automated testing systems. Develops with Java, JavaScript, TypeScript, Python, React, SQL, and NoSQL databases across Windows and Linux. The engineer analyzes requirements, improves existing software, collaborates with hardware and architecture teams, and integrates Agentic AI workflows into developer tooling.

Design, prototype, develop, test, debug, document, and troubleshoot software for semiconductor equipment. Work with machine learning, algorithms, numerical and time-series data, low-level systems, APIs, distributed services, and data pipelines. Translate technical specifications and research into production software, investigate performance bottlenecks, and collaborate with engineers, researchers, and internal customers.

Build and scale an enterprise Retrieval-Augmented Generation platform using Go and Python. Develop full-stack features, backend microservices, frontend interfaces, and AI/ML integrations in partnership with NVIDIA engineering teams. Own features from concept through production, while improving system performance, testing, security, availability, and reliability. Apply hands-on expertise in RAG, LLM pipelines, and AI-driven data retrieval architectures to deliver low-latency enterprise capabilities.

As a Software Engineer on the Platform team, you will design and maintain backend APIs, optimize performance, and collaborate on solutions for enterprise clients.

The Software Engineer will design and maintain backend APIs, enhance performance, optimize architecture, and work with cross-functional teams for product strategy alignment.

Design, develop, and deploy resilient, low-latency microservices and event-driven solutions for Zscaler’s cloud security control plane. Own services from API tiers through backend systems, modernize platforms using API-first architecture, maintain coding quality through reviews and TDD/BDD, and collaborate with Product, DevOps, and architecture teams. Use Docker, Kubernetes, cloud platforms, distributed data patterns, databases, and AI-powered engineering tools to build scalable systems.

Architect and develop scalable SaaS, web APIs, SDKs, CLIs, and AI-assisted developer tools for coding, debugging, profiling, and CUDA optimization. Collaborate with Product, Design, and engineering teams to define features, improve cloud infrastructure, and deliver reliable services for concurrent developers. Mentor engineers and review code and designs while applying Kubernetes, AWS, infrastructure as code, DevOps, Python, virtualization, and GPU profiling expertise.

Design, build, deploy, and operate cloud infrastructure and scalable I/O systems for scientific computing, physics simulations, AI workflows, and data-intensive workloads. Optimize compute, storage, and network architectures across CPU and GPU environments. Develop algorithms, debug systems and third-party code, and improve performance across distributed systems, operating systems, kernels, compilers, and parallel-processing frameworks while collaborating independently across teams.

Build and maintain software that integrates ML/GenAI models with Kubernetes-based edge orchestration. Develop controllers, operators, CRDs, and Helm charts to schedule and deploy AI workloads at the edge, integrate ONNX/PyTorch/TensorFlow models, use AI coding agents, contribute to open-source components, and collaborate across AI, infrastructure, and product teams to ship features end-to-end.

Lead architecture, design, and delivery of scalable, secure control-plane and platform services for the Zero Trust Exchange. Drive cross-team technical initiatives, resolve distributed-system reliability and performance issues, improve observability and maintainability, establish engineering standards through design and code reviews, mentor senior engineers, and apply emerging technologies including AI-assisted workflows.

Build and maintain secure Android/Linux device platforms, including AOSP customizations, system services, HALs, kernel integrations, host services, device enrollment, provisioning, attestation, policy enforcement, telemetry, and over-the-air updates. The role also involves hardened images, certificate signing, sandboxing, runtime security, MDM integrations, and compliance with high-assurance frameworks.

Develop and maintain low-level Android and Linux platform software for rugged, body-worn defense devices. Responsibilities include Linux kernel, BSP, AOSP, HAL, driver, board bring-up, hardware integration, secure boot, power and thermal optimization, system debugging, automated testing, and hardware-in-the-loop validation. Collaborate with hardware, electrical, mechanical, sensor-fusion, and systems engineers to deliver reliable platform software across custom hardware configurations.