Job Description

Solutions Architect, Generative AI Inference and Deployment

Join to apply for the Solutions Architect, Generative AI Inference and Deployment role at NVIDIA

Solutions Architect, Generative AI Inference and Deployment

2 days ago Be among the first 25 applicants

Join to apply for the Solutions Architect, Generative AI Inference and Deployment role at NVIDIA

NVIDIA is seeking outstanding AI Solutions Architects to assist and support customers that are building solutions with our newest AI technology. At NVIDIA, our solutions architects work across different teams and enjoy helping customers with the latest Accelerated Computing and Deep Learning software and hardware platforms. We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement? You will become a trusted technical advisor with our customers and work on exciting projects and proof-of-concepts focused on inference for Generative AI and Large Language Models (LLMs). You will also collaborate with a diverse set of internal teams on performance analysis and modeling of inference software. You should be comfortable working in a dynamic environment, and have experience with Generative AI, LLMs and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!

What You Will Be Doing

• Partnering with other solution architects, engineering, product and business teams. Understanding their strategies and technical needs and helping define high-value solutions
• Dynamically engaging with developers, scientific researchers, and data scientists, gaining experience across a range of technical areas
• Strategically partnering with lighthouse customers and industry-specific solution partners targeting our computing platform
• Working closely with customers to help them adopt and build creative solutions using NVIDIA technology and MLOps solutions
• Analyzing performance and power efficiency of AI inference workloads on Kubernetes
• Some travel to conferences and customers may be required

What We Need To See

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)
• 5+ years of hands-on experience with Deep Learning frameworks such as PyTorch and TensorFlow
• Strong fundamentals in programming, optimizations, and software design, especially in Python
• Proficiency in problem-solving and debugging skills in GPU orchestration and Multi-Instance GPU (MIG) management within Kubernetes environments
• Experience with containerization and orchestration technologies, monitoring, and observability solutions for AI deployments
• Strong knowledge of the theory and practice of LLM and DL inference
• Excellent presentation, communication and collaboration skills

Ways To Stand Out From The Crowd

• Prior experience with DL training at scale, deploying or optimizing DL inference in production
• Experience with NVIDIA GPUs and software libraries such as NVIDIA NIM , Dynamo , TensorRT , TensorRT-LLM
• Excellent C/C++ programming skills, including debugging, profiling, code optimization, performance analysis, and test design
• Familiarity with parallel programming and distributed computing platforms

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits . NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse 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.

JR1999282

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Computer Hardware Manufacturing, Software Development, and Computers and Electronics Manufacturing

Referrals increase your chances of interviewing at NVIDIA by 2x

Get notified about new Solutions Architect jobs in Washington, United States .

Washington, United States $136,000 - $201,200 4 days ago

Washington, United States $128,000 - $178,500 3 days ago

Partner Solutions Architect - Cortex Cloud

Washington, United States
$148,000.00
-
$235,750.00
2 weeks ago

Washington, United States
$153,000.00
-
$218,600.00
4 days ago

Tacoma, WA
$160,000.00
-
$190,000.00
10 hours ago

Senior Solutions Architect - Strategic Accounts, Digital Native Business

Senior Partner Solutions Architect, Atlassian Platform

Seattle, WA
$133,800.00
-
$198,300.00
5 days ago

Greater Seattle Area
$165,000.00
-
$223,000.00
2 weeks ago

Technical Solutions Architect - Networking

Seattle, WA
$150,000.00
-
$200,000.00
4 days ago

Technical Delivery Architect, Cloud / Data Center

Auburn, WA
$170,000.00
-
$220,000.00
16 hours ago

Salesforce Solutions Architect (Technical Solutions Engineer)

Technical Delivery Architect, Networking

Auburn, WA
$170,000.00
-
$220,000.00
1 day ago

Technical Delivery Architect Digital Workplace

Auburn, WA $170,000 - $220,000 16 hours ago

Cloud Solutions Architect GCP & Data Focus (Seattle-Based)

Technical Delivery Architect, Lifecycle Services and Supply Chain

Seattle, WA $141,000.03 - $206,800.05 2 weeks ago

ASG Presales Solutions Engineer - Identity

Washington, United States $72,000 - $230,000 5 days ago

Senior Staff Network Solutions Engineer (REMOTE)

Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Job Tags

Full time, 16 hours, Remote work,

Similar Jobs