Software Engineer Jobs in San Jose, CA

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.

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.

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.

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.

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.

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.

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.

Develop real-time perception software for SLAM and visual-inertial odometry by fusing camera and IMU data. Build structure-from-motion, sensor calibration, synchronization, and 3D reconstruction pipelines; evaluate algorithms on benchmarks and real-world datasets; and integrate perception outputs into autonomy and collaborative mapping systems. Collaborate with hardware, robotics, and platform teams to deliver production-ready systems on embedded and edge devices, including metrics, testing frameworks, optimization, and deployment strategies.

Develop real-time computer vision, tracking, perception, localization, motion estimation, and stability systems for wearable AR devices. Build and optimize C++ and C# applications on Android and embedded Linux edge platforms, integrate OpenXR runtimes, and create Android companion services. Prototype with Python and machine learning frameworks, optimize vision models for edge deployment, develop validation tooling, and collaborate across hardware, firmware, graphics, backend, and product teams.

Develop real-time sensor fusion and tracking systems for AR/XR devices on Android and embedded Linux. Build C++ and C# pipelines integrating IMUs, cameras, depth sensors, and OpenXR runtimes; optimize latency, synchronization, stability, and resource usage. Create Android services in Java/Kotlin and Python tooling for simulation, testing, automation, and CI. Collaborate with hardware, firmware, perception, graphics, and backend teams to ship reliable spatial computing capabilities.

Build and maintain a full-stack platform across web UI, APIs, databases, tests, documentation, media pipelines, and cloud or edge deployments. Design APIs for web and device clients, develop large-file data integration pipelines, and improve testing, recovery, data integrity, and observability. Own the full software development lifecycle and maintain a high-quality codebase.

Designs and executes testing, calibration, and validation protocols for AR/VR headsets and immersive display systems. Responsibilities include display calibration with optical measurement equipment, stereo camera depth validation, motion-to-photon latency measurement, and preparation of test procedures and validation reports. The role requires expertise in optical systems, display technologies, camera calibration, precision measurement, and test automation using Python, MATLAB, or C++.

Design and build cloud governance systems spanning IAM, security controls, compliance enforcement, and software supply-chain security across AWS and GCP. Translate regulatory requirements into automated controls, develop SAST/DAST and secure CI/CD tooling, operate reliable distributed systems, contribute to security roadmaps, and collaborate across infrastructure, security, compliance, and engineering teams.

Design, develop, and optimize high-performance networking and security systems for Zscaler’s cloud-native Zero Trust platform. The role involves Linux kernel networking, troubleshooting complex data-path issues, system design, automation, unit testing, compliance with federal certifications, and collaboration with architects, product managers, customers, and solution architects. The engineer will also mentor junior team members and help integrate AI/ML-driven capabilities to improve networking performance and threat detection.

Develop core decision-making and motion-planning systems for Level 4 autonomous vehicles. Responsibilities include behavioral planning, lane changes, merges, path and velocity generation, world modeling, trajectory cost design, optimization, testing, debugging, and root-cause analysis. Collaborate with Prediction, Perception, and Control teams to enable safe, comfortable vehicle motion.