Posted:
5/25/2024, 5:00:00 PM
Location(s):
California, United States
Experience Level(s):
Mid Level
Field(s):
AI & Machine Learning ⋅ Software Engineering
We are now looking for a Solutions Architect! NVIDIA is searching for AI/ML Solutions Architect for Hyperscale and cloud providers focus. Primary responsibilities will be to lead AI/ML software customer technical engagement for systems being deployed at vast scale. Working cross functionally with multiple organizations within NVIDIA as well as at the customer we will ensure a successful and trouble-free deployment. Would you like to partner with a large company to build automation and management to create a robust large scale artificial intelligence infrastructure? Interested in assisting with the optimization and characterization of customer specific AI models and pipelines? Then read on.
What you'll be doing:
As a member of a focused account team, you will be the technical contact point on NVIDIA products, helping an internet giant and cloud providers to have a state-of-the-art AI/ML Software infrastructure.
We work directly with best-in-class engineering teams to secure design wins, address problems, bring to production and help support thought it life cycle.
Become a trusted advisor to your customer and understand their environment including its constraints. Translate this into product requirements and solutions as well as help them and NVIDIA see around corners to avoid problems.
Help your customer to get the most value out of NVIDIA technology and help NVIDIA know how to craft better products in the future.
Shepherd customer issues to resolution and provide timely advance warning of issues.
What we need to see:
4+ years meaningful work experience.
BS in EE, CS, Math, or equivalent experience
Familiarity with an AI framework (Tensorflow, Pytorch or MxNet)
In-depth knowledge of computer systems architecture
Shown work experience with Python as well as C or C++
Software development and data science experience
GPU and CUDA development experience
Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts
Driven to learn and apply new technology
Ways to stand out from the crowd:
Sophisticated Deep Learning and/or AI experience
Cloud development/deployment experience
Large scale systems management experience
Ability to quickly learn new technologies and skills
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
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