Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of Solutions Engineering or similar experience in AI-related fields
- Education
- PhD
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Role Summary
The Solutions Architecture team develops AI/ML and HPC software and system solutions for the world's largest customers and hyperscalers. The role serves as a technical resource for customer infrastructure, helping define, implement, and optimize solutions and identify opportunities for NVIDIA products and solutions.
What You'll Do
- Develop and demonstrate AI software and hardware solutions with hyperscalers
- Build customer trust and understand unique customer needs
- Provide technical guidance on complex infrastructure and solution performance characteristics
- Partner with Sales, Developer Relations, and Product teams to identify and secure business opportunities
- Conduct technical meetings covering project details, features, and debugging
- Develop proof-of-concept solutions, deliver technical presentations and workshops, and optimize customer AI system performance
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of Solutions Engineering or similar experience in AI-related fields; proficiency in AI, ML and HPC applications; knowledge of computer system architecture including PCIe and networking; experience 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.
Required
- 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, 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
Preferred
- 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
Original job description
Content provided by the employer
Original job description
Content provided by the employer
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.About the company
NVIDIA
Large Enterprise
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.
NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.