Solutions Architect

Posted:
7/22/2024, 5:00:00 PM

Location(s):
Texas, United States ⋅ California, United States

Experience Level(s):
Mid Level

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

Workplace Type:
Remote

NVIDIA is building the world’s leading AI company and we need Solution Architects to help our customers adopt GPU Deep Learning, accelerated data analytics, and other AI and HPC technologies. As a Solutions Architect you will team up with an experienced team of industry experts as you work as part of an NVIDIA account team supporting customers building solutions with our latest technology. NVIDIA’s platforms for machine learning, deep learning and high-performance computing have already made a major impact on the energy domain and are broadly used across leading energy companies and start-ups. Our success has been based on vertical focus industry business development, building a strong developer ecosystem and scaling out the business using a broad partner channel including HW OEMs, Cloud Service Providers, Global System Integrators, and VARs.

We need a passionate, hardworking and creative individual to help us pursue more of these opportunities in HPC, NLP, Machine Learning, and Deep Learning (AI)! This role requires becoming a trusted technical advisor and leader to our partners and customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the energy domain. The ideal candidate will have a solid computer architecture and software foundation, with some GPU-based visual or compute experience, and will be comfortable working in a fast-paced environment with changing requirements. Excellent communication skills and ability to work both independently and with a team are essential. Experience with GPU deep learning and data sciences is desirable, as is the ability to quickly learn new technologies.

What you’ll be doing:

  • Working at the convergence of HPC + AI developing domain specific Deep Learning, Machine Learning, and SimNet-based solutions

  • Coordinate the setup of experiments, tests, equipment, and otherwise facilitate evaluations that help solve customer problems using GPU deep learning and other NVIDIA technologies

  • Work closely with the NVIDIA Solution Architect and customer account team to secure design wins through customer proof-of-concept evaluations

  • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction

What we need to see:

  • MS or higher in EE, CS, Math, Physics or related technical field (or equivalent experience)

  • 3 or more years of industry experience

  • Data sciences coursework

  • Programming skills in 1 or more high level languages (C, C++, Python, etc.)

  • Linux command line and system administration skills are helpful

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 are 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