Jobs
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Healthcare
•401k
•Equity
Required Skills
Python
C
Deep Learning
Generative AI
LLM
PyTorch
TensorFlow
AI Model Development
AI Deployment
NVIDIA is seeking an outstanding AI Engineer or Solutions Architect to join our growing team focused on partner enablement for Generative AI. In this role, you will lead by example, acting as both a strategic technical expert and a hands-on developer. You will directly build innovative proof-of-concept solutions and reference architectures for innovative AI applications, demonstrating the full power of the NVIDIA accelerated Generative AI platforms. By developing these foundational solutions, you will provide partners with the technical blueprints and expert guidance needed to architect and deploy their own transformative applications using NVIDIA full AI stack, from GPU systems and CUDA to Ne Mo and Triton.
The Generative AI Partners Enablement SA team is dedicated to applying next-generation technologies to solve customer problems. We act as trusted advisors and technical partners to our ecosystem. As a member of NPN Generative AI Solution Architecture team, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world by applying accelerated computing AI and solve category defining systems and production grade AI solutions at scale.
What you will be doing:
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Serve as the primary technical domain expert for pre- and post-sale for partners, embedding deeply with them to design and deploy Generative AI solutions. Maintain strong relationships with leadership and technical teams to drive adoption, and successful utilization of NVIDIA GenAI platforms.
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Accelerate partner/customer time to value by providing repeatable reference architecture guidance, building hands-on prototypes, and advising on standard methodologies for scaling solutions to productions.
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Define the scope, success metrics, and evaluation criteria for partner-led customer projects, ensuring they are built on standardized and reproducible GPU-accelerated workflows.
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Enable strategic partners to launch their own Professional Services and platforms by tailoring NVIDIA agentic AI blueprints for high-impact customer workloads. You will proactively find opportunities to drive deeper adoption and utilization of NVIDIA's Generative AI products.
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Codify knowledge and operationalize technical success practices to help partners scale impact across industries and workloads.
What we need to see:
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MSc, PhD in Computer Science, Electrical Engineering, Software Engineer, ML Engineer, or related fields (or equivalent experience).
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5 years of relevant work experience in developing and deploying AI models at scale as a Software Engineer or deep learning engineer.
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Consistent track record of building enterprise-grade agentic AI systems using open-source models and solid foundation in deep learning, with a particular emphasis on generative models.
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Hands-on experience with LLM and agentic frameworks (Ne Mo Agent Toolkit, Lang Chain, Semantic Kernel, Crew.ai, Auto Gen) and evaluation and observability platforms. Comfortable building prototypes or proofs of concept
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Strong coding development and proficiency in Python, C and Deep Learning frameworks (Py Torch, or Tensor Flow).
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Excellent communication and presentation skills to effectively collaborate with both internal executives, partners and customers.
Ways to stand out from the crowd:
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Demonstrate expertise and hands-on experience with NVIDIA AI platforms.
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Understanding of different advanced agent architectures and emerging communication protocols (MCP or Google A2A).
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Excellent practical knowledge of Generative AI and LLM development. Ability to train GPT and Megatron Models.
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Understanding of MLOps life cycle management and experience with LLMOps workflows.
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Experience with CUDA programming and benchmarking and analyzing performance foundation models.
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.
Applications for this job will be accepted at least until February 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
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.
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
4.1
10 reviews
Work Life Balance
3.5
Compensation
4.2
Culture
4.3
Career
4.5
Management
4.0
75%
Recommend to a Friend
Pros
Great culture and supportive environment
Smart colleagues and excellent people
Cutting-edge technology and learning opportunities
Cons
Team-dependent experience and outcomes
Work-life balance issues with long hours
Politics and influence over competence
Salary Ranges
47 data points
Junior/L3
Mid/L4
Junior/L3 · Analyst
7 reports
$170,275
total / year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview Experience
7 interviews
Difficulty
3.1
/ 5
Experience
Positive 0%
Neutral 86%
Negative 14%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Interview
5
System Design Interview
6
Team Review
Common Questions
Coding/Algorithm
System Design
Technical Knowledge
Behavioral/STAR
News & Buzz
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
News
·
NaNw ago
NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
News
·
NaNw ago
NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
News
·
NaNw ago
NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
News
·
NaNw ago