Are you passionate about building the next generation of accelerated computing AI Factories? We are looking for an early-in-career Solution Architect to join the growing NVIDIA Data Center Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. Were in search of creative minds like you to help customers craft and implement accelerated computing solutions that will power workflows including Omniverse for digital simulation and inference for AI use cases.NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that power and operate the workloads. On this team, you will do full stack deployment including hardware architecture, workload orchestration and application performance tuning. At NVIDIA, you will be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.What youll be doing:<ul><li>Help customers with their AI Factory journey, including workflow pipelines and performance optimization</li><li>Focus on data center implementations for inference use cases, while still supporting training as a use case</li><li>Architect Physical AI solutions using NVIDIA solutions such as Omniverse, COSMOS and MEGA; including data aggregation, application development, synthetic data generation and simulation pipelines</li><li>Lead technical sales activities for AI Factories with focus on hybrid deployments between cloud and on-prem</li><li>Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity</li><li>Providing expertise in hardware infrastructure workflows, including server design, GPU architecture, Ethernet, Infiniband and NVLink networking</li><li>Provide expertise in full stack infrastructure including workload orchestration using and application tuning on bare metal, virtual machines and containers</li><li>Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution</li></ul>What we need to see:<ul><li>An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads</li><li>Expertise with infrastructure management including Linux, KVM hypervisor, Kubernetes, Ethernet networking, cloud native tooling</li><li>Ability to seamlessly shift between Linux system environments to Python programming</li><li>Understanding how software and hardware work together to optimize applications</li><li>GPU architecture, specifically focused on how application execution is accelerated on GPUs</li><li>2+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise</li><li>Bachelors degree or equivalent experience in Engineering or Computer Science</li><li>Ability to work independently with a remote team with minimal direction</li><li>Outstanding communication skills, strong interpersonal and be an excellent teammate!</li></ul>Ways to stand out from the crowd:<ul><li>Experience with on-prem infrastructure architecture and big cloud deployments</li><li>Experience with cloud native tooling including Terraform, Kubernetes, Helm</li><li>Background in building large scale infrastructure that deliver workloads via containers</li><li>Experience developing and deploying solutions in hybrid and/or cloud environments</li><li>Critical thinking capabilities that leverage fundamentals to deduce solutions to unforeseen problems</li></ul>NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If youre creative and autonomous, we want to hear from you!Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 120,000 USD - 189,750 USD for Level 2, and 148,000 USD - 235,750 USD for Level 3.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until August 29, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.