We are seeking driven, high-energy, engineers to join the Solutions Architecture team in building Artificial Intelligence (AI) solutions with the world’s largest customers. This dynamic role requires excellent technical and interpersonal skills to analyze, define, implement and optimize AI/ML and HPC software and system solutions at hyperscale.
What you’ll be doing:
Develop and demonstrate AI software and hardware solutions with Hyperscalers
Build customers’ trust and understand their unique needs
Be the go-to technical resource for customers building complex infrastructure as well as help them understand performance characteristics for the best solution
Partner with Sales or Developer Relations and Product team to identify and secure business opportunities for NVIDIA products and solutions.
Conduct technical meetings for project/product details, feature discussions, and debugging sessions
Develop Proof of Concept (PoC) solutions for critical business needs
Prepare and deliver technical presentations and workshops to customers
Address and optimize customer AI systems performance issues
What we need to see:
BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other equivalent engineering fields (or equivalent experience)
5+ years of Solutions Engineering or similar experience in AI-related fields
Passion for enhancing customer experience
Proficiency in AI, ML and HPC applications
Comprehensive knowledge of computer system architecture including PCIe, networking, etc and their impact on AI application performance
Experience in designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems
Ability to work independently and manage multiple priorities
Excellent communication skills to act as a trusted advisor to customers
Ways to stand out from the crowd:
Unique combination of strong interpersonal skills and technical proficiency
In-depth knowledge and hands-on experience with ML/DL/AI including performance testing
Background with NVIDIA hardware and software along with practical Experience with GPU systems
Experience working with or calling on Cloud Service Providers (e.g., Meta)
Highlight external customer-facing skills and experience
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!
#NALASAHiring
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/PhD in Electrical/Computer Engineering, Computer Science, Physics, or equivalent experience
- 5+ years of Solutions Engineering or similar experience in AI-related fields
- Proficiency in AI, ML and HPC applications
- Comprehensive knowledge of computer system architecture including PCIe and networking and their impact on AI application performance
- Experience designing, running and troubleshooting performance benchmarks for AI systems including GPU and multi-node systems
- Excellent communication skills and ability to act as a trusted advisor to customers
- Ability to work independently and manage multiple priorities
- Background with NVIDIA hardware and software and practical experience with GPU systems
- Hands-on experience with ML/DL/AI performance testing
- Experience working with or calling on Cloud Service Providers (e.g., Meta)
- Strong interpersonal and external customer-facing skills
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.”
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