Solutions Architect, Hyperscale

Posted:
5/2/2024, 5:00:00 PM

Location(s):
California, United States

Experience Level(s):
Mid Level

Field(s):
AI & Machine Learning ⋅ Software Engineering

Workplace Type:
On-site

Do you want to be part of a team that brings Artificial Intelligence (AI) solutions to NVIDIA’s largest customers?  NVIDIA is looking for an experienced Solutions Architect to assist customers in building AI/ML and HPC software solutions at scale.  As part of the NVIDIA Solutions Architecture team, you will be driving end-to-end technology solutions with some of NVIDIA’s most strategic customers with both hardware and software solutions while offering recommendations to business and engineering teams based on product strategy.

What you’ll be doing:

  • Working with Hyperscalers to develop and demonstrate solutions based on NVIDIA’s groundbreaking software and hardware technologies.

  • Partner with Sales Account Managers or Developer Relations Managers to identify and secure business opportunities for NVIDIA products and solutions.

  • Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution.

  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.

  • Work with customers to build PoCs for solutions to address critical business needs

  • Prepare and deliver technical content to customers including presentations, workshops, etc.

  • Analyze and develop solutions for customer performance issues for both AI and systems performance

What we need to see:

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

  • Motivation and skills to help drive technical pre-sales activities.

  • 3+ years of Solutions Engineering (or similar Sales Engineering roles) experience.

  • Experience building performance benchmarks for systems including GPU and multi-node systems

  • Practical knowledge in building AI and HPC applications

  • Understanding of systems architecture including PCIe topologies, networking, etc. as it relates to performance of an overall application

  • Effective time management and capable of balancing multiple tasks.

  • Ability to communicate ideas clearly through documents, presentation, etc.

Ways to stand out from the crowd:

  • External customer facing skill-set and background.

  • Hands-on experience with Deep Learning and/or AI

  • Background with NVIDIA hardware and software

  • Hands on experience with GPU systems in general including but not limited to performance testing, AI benchmarking, etc.

  • 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.

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 148,000 USD - 230,000 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.

NVIDIA

Website: https://www.nvidia.com/

Headquarter Location: Santa Clara, California, United States

Employee Count: 10001+

Year Founded: 1993

IPO Status: Public

Last Funding Type: Grant

Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality