Developer Relations Manager, AI Platform and Tools - MLOps

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Job summary

NVIDIA Gruppe is hiring a Developer Relations Manager to lead strategic engagement within the AI tools ecosystem in North America. This role requires deep technical expertise in MLOps and will focus on integrating NVIDIA technologies into partner products.

Qualified candidates will have 5+ years of technology experience and a Bachelor’s/Master’s degree. Salary ranges from $152,000 to $241,500 for Level 3, with additional equity and benefits.

Applications accepted until June 2, 2026.

Qualifications

• 5+ years in technology, including 3+ years in AI.
• Experience in software engineering, solutions architecture, or product management.
• Excellent communication skills.

Responsibilities

• Lead technical engagements and collaborate with partners.
• Drive partner onboarding and co-innovation.
• Track ecosystem trends and identify adoption opportunities.

Skills

Technical partnerships

Developer relations

Stakeholder management

MLOps knowledge

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

NVIDIA AI stack

TensorRT-LLM

CUDA-X libraries

Job description

We’re hiring a Developer Relations Manager to lead strategic engagement within the horizontal AI platform and tools ecosystem in North America. In this role, you’ll partner with companies working on MLOps to expand the use of NVIDIA's AI and accelerated computing platforms. You’ll bring deep technical depth in production AI systems to guide partner product direction, drive library integration, and support partners in building on NVIDIA technologies.

What You'll Be Doing

• Develop and maintain deep technical expertise in MLOps, serving as the trusted technical advisor for ISVs and startups building in that space.
• Understand partner workloads and accelerate adoption by integrating the NVIDIA software stack—including libraries, SDKs, NIMs, and blueprints—into partner products and data pipelines, delivering measurable performance and scalability improvements.
• Drive partner onboarding and co‑innovation through technical enablement assets such as reference architectures, sample code, benchmarks, and workshop content that accelerate deployment of production‑ready solutions.
• Engage with partner technical leaders to guide best‑practice integrations, solve complex architectural challenges, and establish structured collaboration cadences that surface emerging workflows and inform NVIDIA product and platform strategy.
• Build and expand a strategic ecosystem of AI platform and tools partners, track ecosystem and technology trends, and identify opportunities to scale NVIDIA adoption and ecosystem growth.
• Collaborate cross‑functionally with solution architects, engineering, product management, and account teams to strengthen partner engagement and optimize adoption strategies.
• Advocate for ecosystem technical requirements by channeling actionable feedback from field deployments into NVIDIA product and engineering roadmaps.

What We Need to See

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• 5+ years of experience in the technology industry across software engineering, developer relations, technical partnerships, solutions architecture, or product management, including 3+ years of hands‑on experience in AI.
• Deep domain knowledge across the enterprise MLOps lifecycle, including inference serving platforms, scalable deployment, evaluation, governance, and observability pipelines.
• Proven ability to lead complex, multi‑stakeholder technical engagements, align cross‑functional priorities, and drive execution across internal teams and external partners. Experience architecting, integrating, and scaling joint solutions with strategic ISVs or ecosystem partners is preferred.
• Excellent communication and stakeholder‑management skills, with the ability to explain complex technical concepts to both engineering and executive audiences.

Ways to Stand Out from the Crowd

• Deep familiarity with NVIDIA’s accelerated AI stack—including TensorRT‑LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA‑X libraries, and related frameworks—and experience integrating them into production platforms.
• Experience partnering with early‑stage or high‑growth startups/ISVs in fast‑paced, ambiguous environments.
• A strong builder mindset, with a track record of creating technical solutions, enablement assets, or ecosystem integrations from the ground up.

Base salary will be determined based on location, experience, and comparable positions, ranging from $152,000 to $241,500 for Level3 and $184,000 to $287,500 for Level4. You will also be eligible for equity and benefits.

Applications will be accepted until June2,2026.

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 is an equal‑opportunity employer. We do not discriminate 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.