Über diese Solutions Architect, AI Factory Infrastructure Stelle bei NVIDIA
Are you passionate about enabling the next generation of AI development? We are looking for an early-in-career Solution Architect to join the growing NVIDIA AI Infrastructure team. NVIDIA is the world leader in computer graphics, artificial intelligence, and accelerated computing. We're in search of creative minds like you to help customers design, architect and implement accelerated computing data center solutions that will power workflows including AI inference at scale and physical AI through digital simulation.
NVIDIA solutions are built around industry leading AI software tools, but these tools are only as good as the infrastructure that enable the workloads. On this team, you will do full stack design 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 you'll be doing:
Help customers with their AI factory journey, including workflow pipelines and performance optimization
Focus data center implementations for inference use cases, including distributed, disaggregated and scaled out workflows
Scope physical AI journeys on Omniverse, including synthetic data generation, data aggregation, application development and simulation pipelines
Lead technical sales activities for AI factories with focus on hybrid deployments between cloud and on-prem
Deliver hybrid cloud architectures for data pipelines, storage, security and user streaming connectivity
Providing expertise in infrastructure workflows, including hardware, task coordination and application tuning
Understand different solutions trade-offs and propose enterprise customers the best architecture and technical execution
Work directly with key customers to understand workflows and share feedback with internal product and engineering teams
What we need to see:
Bachelor's degree or equivalent experience in Engineering or Computer Science
3+ years of meaningful work experience, ideally in an IT infrastructure or related field of expertise
An outstanding passion for groundbreaking IT infrastructures that optimize AI workloads
Knowledge of infrastructure management including Linux, Kubernetes, Ethernet networking, cloud native tooling
Familiarity with Linux system environments including using Linux for systems administration
Comfortable with Python programming
Understanding how software and hardware work together to optimize applications
Ability to work independently with a remote team with minimal direction
Outstanding communication skills, strong interpersonal and be an excellent teammate!
Ways to stand out from the crowd:
Experience with on-prem infrastructure architecture and big cloud deployments
Experience with cloud native tooling including Terraform, Kubernetes, Helm
Background in building large scale infrastructure that deliver workloads via containers
Experience developing and deploying solutions in hybrid and/or cloud environments
Critical thinking capabilities that leverage fundamentals to deduce solutions to unforseen problems
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 you're 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 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.
