Software Engineer Jobs in San Jose, CA

As a Software Engineer, you will design, prototype, and develop software solutions for semiconductor equipment, focusing on machine learning and AI applications. Responsibilities include troubleshooting, documentation, and project requirements analysis.

Lead the technical direction for production engineering in NVIDIA DGX Cloud, focusing on Kubernetes operations, automation, and reliability for GPU clusters.

Design and build RL post-training infrastructure for AI, optimizing training-inference-rollout on distributed systems while ensuring fault tolerance and scalability.

The role involves leading the design and development of machine control software for semiconductor manufacturing, ensuring integration and reliability across systems.

The role involves designing and developing firmware for Compute, Storage, and Custom ASIC platforms, with responsibilities including hardware validation, testing, and automated processes.

The PCIe Senior/Lead Software Engineer will manage high-speed communication between hardware components, develop PCIe software, tune parameters, and create automated tests to ensure system reliability and performance.

The Senior Software Engineer will optimize AI workloads using machine learning techniques for large scale GPU and CPU clusters, focusing on resource allocation, performance analysis, and collaboration on hardware/software teams.

Design and develop scalable infrastructure for deep learning libraries, automate build/test processes, and contribute to open-source tools.

The Robotics Software QA/Test Engineer will ensure software quality through testing practices, monitor test robots, triage issues, and improve testing tools.

Design and implement backend features for Zoom Mail/Calendar using modern C++ and NoSQL databases, ensure data security, troubleshoot issues, and collaborate with DevOps on deployment.

The role involves architecting real-time communication interfaces, designing analytical dashboards, optimizing frontend workflows, and establishing CI/CD protocols for large-scale deployments.

Lead the design and implementation of high-performance PoP infrastructure, optimize networking software, and mentor engineering teams at Blue Origin.

The Senior Network Engineer will design and implement advanced network architectures for a satellite communication system, focusing on SDN and routing solutions to optimize performance while adhering to strict constraints.

The role involves performing data analysis for datacenter applications, using machine learning for GPU systems, and providing insights on trends to enhance workflows.

Integrate sensors, cameras, peripherals, and control systems into robotic workflows. Develop drivers and interfaces, calibrate vision systems, set up robot workcells, validate software, review scripts, troubleshoot integrations, and produce technical documentation and support.

Design and build AI-native, high-performance CI/build/test/validation infrastructure for large Tegra C/C++ codebases. Optimize build graphs, caching, incremental builds, remote execution, device-lab testing, and integrate reasoning agents for autonomous triage, remediation, and self-healing workflows. Package reusable platform capabilities, drive adoption, and measure developer feedback loop improvements.

Develop and invent parallel, graph-based RTL analysis and optimization methods. Analyze RTL impacts on latency, power, DFT, clocking, and power delivery. Explore ML (LLMs, GNNs, GANs, RL) and high-performance algorithms for logic synthesis, clustering, and implementation. Drive end-to-end tool development and collaborate with design teams to deploy optimizations.

Design, implement, and test hard real-time algorithms, state machines, and application logic for a robotic medical platform. Develop C++/Python production code on Linux and RTOS, collaborate with cross-functional teams, contribute to testing and simulation environments, participate in design reviews, and ensure safety-critical software quality.

The role involves making technical decisions across teams, mentoring staff, and leading projects on payment backend services, ensuring scalability and reliability.

Design and maintain DevOps tooling, manage Kubernetes clusters, develop scripts in Python, and ensure strong SDLC discipline. Collaborate with engineering teams.

Maintain and modernize UI, server, persistence, and integration layers of a fraud detection platform; diagnose production issues; implement product enhancements; keep frameworks patched and secure; improve test coverage and engineering quality; lead reviews, mentor engineers, and participate in releases and on-call rotations.

Lead workload-driven AI/ML architecture across hardware and software: characterize workloads, perform system-level performance and memory analysis, define measurement and pre-silicon estimation methods, leverage MLIR/IREE toolchains, identify bottlenecks, recommend SoC/CPU/memory optimizations, and present findings to engineering leadership while mentoring junior engineers.

The role involves architecting and operating NVIDIA's cloud-native attestation platform, developing high-availability services, collaborating with cross-functional teams, and mentoring engineers.

Design and scale large-scale autonomous driving simulation platforms and workflows. Develop Real2Sim/Sim2Real domain adaptation, neural rendering and synthetic data pipelines, optimize performance and distributed infrastructure, collaborate with researchers and product teams, and drive production technology transfer for AV validation and training.

Design, implement, and maintain automated tests and test infrastructure to validate NVIDIA enterprise offerings (NIM, NeMo, BioNeMo). Collaborate with developers to triage issues, perform root-cause analysis, verify fixes, and improve test plans. Leverage AI capabilities to accelerate QA processes and investigate LLM/AI model testing approaches.