Engagement Tech Lead, Developer Relations - AI Agents

Reposted 16 Days Ago
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Santa Clara, CA, USA
In-Office
224K-431K Annually
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The role involves developing partnerships with ISVs delivering AgentOps services, managing technical engagement, and collaborating with teams for product integration and strategy.
Summary Generated by Built In

We are looking for a Engagement Tech Lead, Developer Relations - AI Agents to drive strategic partnership with leading ISVs who are delivering AgentOps platforms or services using accelerated computing and Agentic AI. The Developer Relations Manager is a high-profile role in NVIDIA. In this important role, you will be an evangelist of Nvidia’s accelerated computing and AI technologies and products from NVIDIA Cuda-x libraries, Nemotron, NIM, NeMo libraries, Agent Toolkits to Blueprints. You will be leading engagement with LLMOps, GenAIOps and AgentOps developers and help them accelerate their workflow and integrate the state-of-art NVIDIA technology. You will manage the relations with partners, drive technical engagement, product integration, marketing and go-to-market. You will play an important role in identifying product gaps and defining future features for NVIDIA's products.  An ideal candidate has excellent soft skill, a proven technical background in MLOps, LLMOps, GenAIOps, AgentOps, generative AI, agentic AI, and accelerated computing, a strategic understanding of the AI market landscape, and experience with AI ecosystem development.

What you'll be doing:

  • Developing AgentOps ecosystem strategy.

  • Identifying the leading ISV companies, starting/managing/growing partnership relations.

  • Working closely with partners to identify acceleration and integration opportunities.

  • Driving technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products and technologies.

  • Collaborating with NVIDIA’s product, marketing, business development and sales teams, advocate partners’ solutions, showcase NVIDIA enabled solutions, and drive joint GTM with partners.

  • Partner with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of partners.

What we need to see:

  • BS/MS/PhD in Computer Science or Engineering or equivalent experience

  • Strong leadership skills, excellent communication abilities and collaborative attitude

  • Proven expertise of AgentOps, GenAIOps, LLMOps, generative AI, and agentic AI. 

  • 12+ years of related work experience 

Ways to stand out from the crowd:

  • Background with NVIDIA GPUs, platforms and SDKs.

  • Experience of building strategic partnerships and a versatile ISVs ecosystem 

  • Experience of deep learning, generative AI, agentic AI research, product, engineering development. 

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!

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 June 19, 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.

Skills Required

  • BS/MS/PhD in Computer Science or Engineering or equivalent experience
  • 12+ years of related work experience
  • Proven expertise of AgentOps, GenAIOps, LLMOps, generative AI, and agentic AI

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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