NVIDIA Corporation

Applied Agentic AI Lead, Partner Co-Design

NVIDIA Corporation$224K — $431K *
US-AnywhereRemote in Santa Clara, CA
Information Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in technical engineering, product, or solutions roles focused on enterprise software and production AI.
  • Masters or PhD in Computer Science, Electrical Engineering, or relevant equivalent experience.
  • Strong foundation in AI/ML and Deep Learning with experience in building enterprise-grade Generative AI systems.
  • Proficiency in Python and familiarity with modern agent/LLM stacks, including LangChain and inference engines like vLLM/TensorRT-LLM.
  • Experience with MLOps/LLMOps, Kubernetes, Docker, and understanding of Security, Compliance, and Governance requirements.
  • Excellent communication skills and a proactive approach to relationship-building with internal and external collaborators.

Responsibilities

  • Co-design and build production agentic systems with ISV Software Platform Architects, defining technical objectives and timelines.
  • Implement agentic systems across RAG, inference, and multi-agent workflows using NVIDIA and ecosystem tools.
  • Lead technical engagements ensuring successful adoption of software solutions through effective execution.
  • Deepen technical breadth and specificity in areas like fine-tuning, reasoning, and production inference.
  • Represent partner needs to NVIDIA's Product and Engineering teams, influencing the product roadmap with partner insights.
  • Stay abreast of industry developments to ensure partners leverage cutting-edge AI technologies.

Benefits

  • Opportunity to work with NVIDIA's high-impact team on enterprise AI initiatives.
  • Access to collaborative support from Engineering, NVIDIA Research, and Product teams.
  • Potential for equity participation while contributing to cutting-edge AI applications.
  • Chance to influence the trajectory of NVIDIA's Enterprise Generative AI strategy.
Full Job Description
NVIDIA is seeking a highly technical, partner-facing Agentic AI Lead to drive the co-design of Generative and Agentic AI software with our highest-priority Enterprise ISV partners. As Technical Lead for your assigned strategic partners, you'll collaborate hand-in-hand with their Software Platform Architects, co-designing the production agentic systems that run their most demanding workloads. You are the senior technical mind on the account, the person the partner trusts to turn hard, ambiguous problems into shipped software, and the one who accelerates adoption of NVIDIA's stack across the initiatives that matter most to their business.

This role demands versatility at the intersection of platform strategy, strong Deep Learning fundamentals with hands-on execution, and business acuity with senior leaders. It's an important, high-impact role: you'll grow a rare breadth of skills and stay at the frontier at all times, with your work visible from the partner's leadership to NVIDIA's roadmap. Agentic AI moves fast, and staying at that frontier for your partners is the heart of the job. You will work closely with NVIDIA Product, Engineering, and Research, and your read on real production deployments will directly shape what they build.

What You Will Be Doing:
  • Co-design and build production agentic systems hand-in-hand with a focused set of ISV Software Platform Architects. Define technical objectives, timelines, and adoption strategy aligned to their critical business objectives.
  • Bring these to life across RAG, inference, multi-agent, and long-horizon workflows on NVIDIA's stack (NeMo, Nemotron, NIM, Dynamo, TensorRT-LLM) and ecosystem tools (vLLM, LangChain, MCP/A2A, and emerging agent frameworks). Drive evaluations of NVIDIA libraries and ship the code and reference architectures that turn each engagement into durable software the ecosystem builds on.
  • Take charge of the technical engagement, ensuring software adoption through strong execution rigor. Collaborate directly with NVIDIA Product, Engineering, NV Research, and Solution Architecture groups. Share insights and impact to reach the best solution.
  • Develop technical breadth, and go deep in select areas as applicable: eg. Fine-tuning (PEFT, SFT), post-training and RL from verifiable rewards, Reasoning, RAG, Agent Evaluations and Observability, and Production inference.
  • Represent partner needs and architecture design to Product and Engineering teams. Contribute to the product roadmap by articulating insights from large-scale enterprise environments and cross-industry patterns captured from ISV engagements.
  • Stay ahead in a fast paced field and NVIDIA's evolving models, libraries, and frameworks to keep your partners on the cutting edge.


What we need to see:
  • 12+ years in technical Engineering, Product, or Solutions roles across enterprise software and production AI, including customer- or partner-facing work.
  • Masters or PhD in Computer Science, Electrical Engineering, or equivalent experience.
  • A strong AI/ML and Deep Learning foundation, with hands-on experience building enterprise-grade GenAI systems, e.g. advanced RAG, multi-agent architectures/harnesses, and production LLM evaluations and deployments.
  • Ability to swiftly research, prototype, and collaborate with multiple teams to arrive at the best technical solution for new and evolving customer scenarios, driving to completion with ownership of large projects.
  • Fluency in Python and the modern agent/LLM stack (eg. LangChain, inference engines such as vLLM/TensorRT-LLM, NVIDIA NeMo, vector DBs, MCP/A2A). Direct experience with every tool is not required but foundational breadth is desired.
  • Strong grasp of enterprise deployment realities: MLOps/LLMOps, Kubernetes and Docker, and Security, Compliance, and Governance.
  • Strong executive-caliber communication and deep curiosity for emerging AI technologies. High ownership and initiative, with the relationship-building instinct to keep internal and external collaborators aligned.


Ways to Stand Out from the crowd:
  • Track record of influencing sophisticated product decisions through trusted partner relationships, with empathy for customer needs and an instinct for translating them into scalable platform improvements.
  • Proactive in anticipating market trends and advocating for innovation inside and outside the org, with in-depth knowledge of the ISV and enterprise agent-platform landscape.
  • Proven agility in high-stakes environments, delivering successful partner outcomes in a high-velocity agentic AI landscape.
  • Strong growth and solution outlook, a highly collaborative standout colleague able to build deep trust with engineers, executives, and cross-functional teams at both NVIDIA and Partner organizations.


We're entering a defining chapter in NVIDIA's history! This role offers an exceptional opportunity to help build our Enterprise Generative AI business as part of a stellar high-impact team. You'll have the support of Engineering, NVIDIA Research, Solutions Architects, and Product teams to empower enterprises and redefine their operations with pioneering AI applications. Your contributions will directly impact the trajectory of our

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 18, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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