Job description

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 hyper scale . 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 p ractical 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 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 for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 20, 2026. 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.

Requirements

Must-haves

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
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
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 p ractical 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.
#NALASAHiring
You will also be eligible for equity and benefits .

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlgo

Platform: eightfold
Effort: medium