NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor!
What you’ll be doing:
Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.
Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.
Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.
Partnering with NVIDIA’s software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback.
What we need to see:
BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience.
5+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.
Experience with profiling and optimizing model training/inference performance on GPUs.
Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.
Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.
A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.
Self-starter with a passion for growth, continuous learning, and sharing insights with the team.
Ways to stand out from the crowd:
Full stack experience.
Experience working with enterprise developers and strong customer-facing skills.
Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.
Experience with large-scale production data pipelines and AI model training/deployment.
Creative problem-solving skills for debugging and resolving complex issues.
We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.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.Skills Required
- BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields, or equivalent experience
- 5+ years experience as an AI/Software Engineer with proven coding in Python and/or C++ using popular AI software libraries and GPUs
- Experience with profiling and optimizing model training/inference performance on GPUs
- Experience developing and optimizing GPU kernels for deep learning, focusing on GEMM and attention kernels
- Strong communication skills, including conveying ideas and code via GitHub, documentation, and presentations
- Ability to collaborate with cross-functional teams (Engineering, Research, Sales, Product, Marketing)
- Self-starter with passion for continuous learning and sharing insights
- Full stack experience
- Experience working with enterprise developers and strong customer-facing skills
- Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments
- Experience with large-scale production data pipelines and AI model training/deployment
- Creative problem-solving skills for debugging and resolving complex issues
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
