Solutions Architect, AI Infrastructure

Key Skills

Aartificial intelligence, C Programming, C++, CUDA kernels, Deep Learning, DevOps, Docker, Infrastructure as code, IT, Linux Operating system, Machine learning techniques, MLOps tools, Sales

Job Description

NVIDIA is looking for an experienced network and systems infrastructure Solutions Architect. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in the field? We are looking for a compute and networking savvy Solution Architect to join the NVIDIA SA team focused on supporting accelerated computing applications including Deep Learning and Data analytics. As part of the NVIDIA Solution Architecture organization, you will be driving our end-to end technology solutions integration with some of NVIDIA's most strategic technology customers, as well as offering recommendations to business and engineering teams on our product strategy.

What you will be doing:

• Working with NVIDIA Consumer Internet and IT Services customers on data center GPU server and networking infrastructure projects as solution architect. Guide customer journey to server/network/cluster deployments and lead discussions about network topologies, compute/storage etc

• Identifying new business/project opportunities for NVIDIA products and technology solutions in data center and artificial intelligence applications. Work closely with the Engineering, Product management and Sales teams

• Conducting regular technical customer meetings for project/product roadmap, feature discussions and introduction to new technology solutions

• Building custom product demonstrations and POCs for solutions that address critical business needs of our customers

• Analyzing and solving compute/network performance issues

• Preparing and delivering technical training presentations and workshops

What we need to see:

• BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

• This role is for an individual with the motivation and skills to drive the technical pre-sales process.

• 8+ years of Solution Engineering (or similar Sales Engineering roles) experience

• Advance practical knowledge of Networking - Data Center topologies, routing and switching protocols, and Ethernet/Infiniband

• System level understanding of server architecture, PCIe devices, NICs, Linux OS and kernel drivers

• Networking experience, including knowledge of Ethernet, Infiniband or other networking protocols

• Knowledge of DevOps/MLOps technologies such as Docker/containers, Kubernetes, data center compute/network/storage deployments

• Effective time management and capable of balancing multiple tasks and ability to communicate your ideas/code clearly through documents, presentation etc

Ways to stand out from the crowd:

• External customer facing skill-set and background

• Systems engineering, coding, and debugging skills including experience C/C++, Linux kernel and drivers

• Hands-on experience with NVIDIA systems/SDKs (e.g. CUDA), NVIDIA Networking technologies (e.g., DPU, RoCE, InfiniBand), and/or ARM CPU solutions

• Familiarity of concepts for virtualization environments

• Able to think creatively to debug and solve problems

We make extensive use of conferencing tools, but occasional travel is required for local on-site visit to customers and industry events. We are open to remote work location and look forward to have you join our team! 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!

The base salary range is 176,000 USD - 270,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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.