Jobs at NVIDIA

The Senior Technical Marketing Manager will lead technical initiatives, develop marketing content, and communicate product value for GeForce platforms while collaborating with cross-functional teams.

As a Senior Firmware Engineer, you will design, implement, and maintain firmware, optimize code paths, and collaborate with various teams to integrate systems and resolve issues in complex hardware interactions.

As a High-Performance LLM Training Engineer, you will optimize performance for LLM training workloads using NVIDIA's software stack across thousands of GPUs.

The Senior LLVM Compiler Engineer will contribute to upstream LLVM development, lead design discussions, and ensure high-quality compiler solutions in collaboration with open-source communities.

The role involves leading software development processes, collaborating with cross-functional teams, managing customer escalations, and optimizing workflows for compute software solutions.

As an ASIC Floorplan Design Engineer, you will work on designing and optimizing chip floorplans, collaborating with various teams to improve performance and solve design issues.

The Senior Cybersecurity Architect will design and maintain security architectures, provide technical leadership, identify security risks, and develop standards in alignment with business objectives.

The role involves synchronizing NVIDIA's compiler codebases with open-source projects, improving developer productivity, and building tools and workflows for compiler engineers.

Lead the XR and AI robotics program to ensure timely delivery and quality; manage schedules, risks, and partner engagement while fostering communication across teams.

The Solutions Architect will design GPU-accelerated data pipelines, develop proof-of-concepts, and integrate NVIDIA's technologies with OEM partners, focusing on AI and security workflows.

The Developer Relations Manager will engage research labs to promote NVIDIA's AI platforms, assess institutional opportunities, provide technical guidance, and connect with researchers to drive product development and collaboration.

The Developer Relations Manager will drive the adoption of NVIDIA's AI platforms in research labs, leveraging expertise in physics and AI while collaborating with various teams to enhance research outcomes.

The role involves developing and analyzing safety and resiliency features for GPUs and SoC hardware, requiring collaboration across teams and compliance with safety standards.

Develop and integrate full-system functional models for CPU architectures, support CPU architects, and enhance system software for performance modeling.

Design and architect multi-GPU systems for AI and HPC, focusing on high-speed interconnects and hardware-software co-design, while collaborating with various engineering teams.

Lead the System Design Tools and Methodology team at NVIDIA, optimizing CAD and PLM workflows, developing analytics platforms, and managing cross-disciplinary engineering collaboration for hardware product development.

The Senior Accelerated Computing Architect will analyze and optimize performance on NVIDIA GPUs, create algorithms, collaborate with teams, and publish work.

As a Senior Deep Learning Systems Engineer, you will optimize datacenters for AI applications by analyzing performance metrics and developing software tools.

The Demand Planning Analyst at NVIDIA will manage supply chain operations, forecast product demand, and optimize inventory levels while collaborating with various teams.

As a Senior Data Scientist in the Voice of the Customer team, you'll develop data products, analyze unstructured data, build scalable algorithms, and collaborate with teams to improve user experience through data-driven insights.