Design and build tests for secure GPU development. Collaborate with teams on security design verification, ensuring robust testing and coverage against vulnerabilities.

The DevOps and Build Engineer will maintain CI/CD pipelines, improve build systems, optimize performance, and resolve complex issues in collaboration with teams.

The role involves managing the SWQA team, developing automation testing strategies, and ensuring high-quality product releases for NVIDIA's GPU products. Responsibilities include defining test engineering strategies, building automated tests, and leading cross-functional collaboration, while driving improvements in QA methodologies and workflows.

The role involves building scalable RAG solutions, optimizing workflows, collaborating on product features, and ensuring software quality. Requires expertise in AI applications and Python.

Develop automation for Kubernetes clusters, manage network protocols, and collaborate with R&D teams in a fast-paced environment.

Develop and productize NVIDIA's DRIVE OS software for various automotive platforms, focusing on device drivers and OS solutions. Lead architecture discussions and coordinate with cross-functional teams.

The Senior Tools Development Engineer will design and build infrastructure for automation in software quality, employing multi-agent systems and AI to improve test reliability and reduce cognitive load on engineers.

As a Senior System Software Engineer at NVIDIA, you'll design cloud solutions for distributed systems, working across the whole feature life cycle in a fast-paced environment. Your expertise in Java/Python, cloud infrastructure, and Agile methodologies will be crucial in tackling complex infrastructure challenges.

The role involves designing and implementing automated tests with AI technologies, developing tools in Python/C/C++, and enhancing software testing workflows. Responsibilities include debugging, code reviews, and collaborating with the team.

The role involves developing compilers for NVIDIA GPUs, working on optimization problems, collaborating with a distributed team, and influencing new GPU architectures.

Lead and develop engineering teams for deep learning solutions. Focus on TensorRT and benchmarking. Drive technical leadership and oversee GPU deep learning implementations.

Lead complex AI model training, evaluation, and optimization efforts. Drive efficiency in LLM lifecycle, ensuring high-quality, deployable models.

Lead the strategy for cryptographic integrity and software supply chain security at NVIDIA, implementing scalable cloud-agnostic solutions and enhancing developer experience.

Design, build, and maintain large-scale AI infrastructure and SRE tooling across cloud and on-prem GPU/HPC environments. Improve observability, reliability, automation, incident response, and scalability for model training workflows while collaborating with engineering teams.

As a Global Trade Compliance Systems Analyst, you'll manage SAP Global Trade Services operations, maintain legal regulations, develop reports, and ensure compliance with US export regulations.

Develop and maintain DirectX Graphics Driver for NVIDIA GPUs, focusing on graphics features, software quality improvements, and collaboration across teams.

The role involves developing software for Media & Entertainment and Broadcasting, collaborating on system software components, and leading software lifecycles.

Design and develop algorithms for map-based driving products, architecture design for map integration, and implement evaluations of large scale models for autonomous vehicles.

The role involves architecting and implementing SAP MDG solutions across Material and Business Partner domains, ensuring effective data governance and quality management within supply chain processes.

The Senior Software Engineer will design and build security solutions, work with various teams on secure architecture, optimize data processing, and enhance vulnerability assessments at NVIDIA.