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. We're looking for someone with deep technical depth in production AI systems to guide partner product direction, drive library integration, and support them building on NVIDIA technologies. If you're passionate about influencing the next wave of AI companies, we'd love to hear from you. What You'll Be Doing: • Develop and maintain deep technical expertise in MLOps, serve 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, benchmark, 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 enterprise MLOps lifecycle, including inference serving platform, scalable deployment, eval, governance and observability pipeline. • 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, with 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. With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 18, 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.

Requirements

Must-haves

Develop and maintain deep technical expertise in MLOps, serve as the trusted technical advisor for ISVs and startups building in that space.
Drive partner onboarding and co-innovation through technical enablement assets such as reference architectures, sample code, benchmark, and workshop content that accelerate deployment of production-ready solutions.
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.
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 enterprise MLOps lifecycle, including inference serving platform, scalable deployment, eval, governance and observability pipeline.
Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both engineering and executive audiences.
Deep familiarity with NVIDIA’s accelerated AI stack, including TensorRT-LLM, NeMo, Dynamo, NIM, RAPIDS, run.ai, CUDA-X libraries, and related frameworks, with 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.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 18, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

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