Senior Manager, Developer Relations - Generative AI Software

Posted 9 Days Ago
Be an Early Applicant
Santa Clara, CA
In-Office
208K-334K
Expert/Leader
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead Developer Relations Managers to drive adoption of generative AI solutions. Engage with partners, co-design technical solutions, and support product launches. Requires extensive software development experience and technical collaboration across teams.
Summary Generated by Built In

NVIDIA is seeking a highly technical Senior Director to lead Developer Relations Managers to drive adoption of generative AI, agent lifecycle libraries, and AI models across our software partner ecosystem!

The collaborations will span across multiple vertical market segments. Successful candidates will be highly technical, able to move and adapt quickly to changing needs, guide architecture and implementation plans with product and engineering teams, engage at all executive levels both inside NVIDIA and with partners across multiple partners!

What you’ll be doing:

  • Manage a team of developer relations product leads

  • Engage with partner software organizations - from engineering teams to technical leaders, and decision makers - to understand their goals, identify and resolve technical blockers, advocate for standard methodologies, and drive alignment with NVIDIA technical solutions.

  • Operate as a technical consultant and solution provider with collaborating engineering groups, partnering on architecture, code, and integration for NeMo and AI enabled-solutions.

  • Co-design and implement sophisticated technical solutions with partners – defining objectives, architecture, achievements, and delivery plans. Contribute sample code, architecture diagrams, and direct engineering support to overcome technical challenges.

  • Develop roadmap for technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption of our libraries

  • Represent and advocate for the partner technical needs and feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

  • Support product launches, technical go-to-market activities by providing technical validation, demonstrating integrated solutions, and ensuring perfection in customer- and partner-facing materials.

What we need to see:

  • A minimum of 10+ years of overall professional experience in the technology industry, including at least 5+ years of direct, hands-on technical experience in software development or engineering.

  • MS/BS in Computer Science, Engineering, or a related technical field; or equivalent experience

  • Proven hands-on involvement throughout the full software development lifecycle - including requirements definition, design, implementation, testing, integration, quality assurance, and post-release support.

  • Experience (as a software engineer or technical product manager) in one or more of the following domains: deep learning and AI systems, foundation models, enterprise-scale ISV software development, full-stack application development, AI/machine learning workflows (including ETL, data pipeline development, synthetic data generation, and data preparation), or graphics and GPU accelerated programming.

  • Significant technical depth in ai models and generative ai software,

  • Experience leading technical collaborations with engineering and product teams - including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

  • Clear communication skills for conveying technical concepts, architecture, and code to audiences ranging from engineers to executives.

  • Proven track record to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external partners (across sales, legal, product or marketing teams as needed).

Ways to stand out from the crowd:

  • Familiarity and/or experience with NVIDIA libraries and models (CUDA-X, Nemotron, NeMo, NIM)

  • Strong recent experience developing or integrating technology into enterprise platforms or automation software

  • Familiarity with AIOps, cloud-native and container orchestration technologies (e.g., Kubernetes, Docker, Kubeflow), along with agentic architectures (e.g., MCP, LangGraph) and observability tools for monitoring autonomous systems.

  • Track record of influencing complex product decisions through trusted relationships while also balancing software partner needs with empathy

With highly competitive salaries and a comprehensive benefits package, 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 on the planet working for us and, due to unprecedented growth, our special engineering teams are growing fast. If you're a creative and autonomous professional with a genuine passion for technology, we want to hear from you. You will also be eligible for equity and benefits.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 208,000 USD - 333,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 20, 2025.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.

Top Skills

Ai Models
Aiops
Cuda-X
Deep Learning
Docker
Generative Ai
Kubeflow
Kubernetes
Nemo
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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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