The Memory Product Manager oversees memory roadmaps, supplier relationships, and operational issues, requiring deep knowledge of memory technologies and supply chain management.

Responsible for developing and executing test plans for NVIDIA platforms, troubleshooting, automation framework, and collaborating on solutions for test failures.

The Quantum Research Scientist will develop quantum algorithms, advancing AI-driven models and exploring the integration of quantum computing with NVIDIA’s multi-GPU architectures.

Develop and support build infrastructure tools for chip design, focusing on scalability, reliability, and performance analysis.

Join the Board Design Hardware Team as an Electrical Engineering Student, focusing on product specification, electrical schematics, and practical electronics in a lab environment.

As a Senior Software Developer, you will enhance NVIDIA's DriveOS by developing test strategies, automation tools, and collaborating with teams to ensure quality performance in a fast-paced environment.

The Senior PCB Engineer will provide PCB technology support, develop supplier relationships, resolve issues, and lead technology roadmap initiatives. Responsibilities include research and development of new PCB technologies and materials critical for product improvements and cost reduction.

The Senior Hardware Customer Quality Engineer will manage quality assurance activities, coordinate with customers for issue resolution, and lead internal teams to drive problem resolution.

You will develop XR systems using AI and graphics in C++ and Python, improving AR/VR and collaborating on large-scale projects.

As a Product Management MBA Intern at NVIDIA, you'll collaborate on autonomous vehicle simulation products, define requirements, and engage with partners to implement strategies.

Lead the design and operation of large-scale AI GPU clusters. Drive operational excellence and resource utilization, support researchers, and innovate solutions for AI workloads.

Design and verify next-gen Switch Silicon chips, focusing on micro-architecture and dynamic verification environments under power, area, and performance constraints.

Design and verify innovative hardware components for GPUs and SoCs, develop verification strategies, and create functional test plans.

As an ASIC Design Efficiency Engineer, you will develop innovative hardware designs, improve Performance, Power and Area (PPA), and collaborate with teams to create high-performance GPUs.

NVIDIA seeks a Senior Solution Engineer for customer support and issue resolution in AI environments. Responsibilities include triaging software issues, documenting interactions, and collaborating with engineering teams on optimizing software performance.

The role involves ensuring software quality in NVIDIA's Deep Learning team through test planning, automation, and collaboration with global teams.

The Senior Chip Design Verification Engineer will work on Design Verification for NVIDIA's GPU products, including planning, coding, and integration of chip models.

Design, implement and deploy software infrastructure for AI video processing, integrate with cloud services, improve CI-CD systems, and collaborate with various teams.

The Senior Technical Writer will create documentation for hardware products, collaborating with engineers and managing documentation projects to deliver high-quality content.

The SOC Verification Engineer will verify the design and implementation of networking SoCs, focusing on advanced verification methodologies, firmware interactions, and developing verification infrastructure.