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NVIDIA

Developer Relations Manager - Omniverse

NVIDIA is hiring a Developer Relations Manager - Omniverse in Santa Clara, United States. It pays $184k-$288k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include LangGraph.
  • Level classifies it as a senior role.
  • Level lists 2,700+ other open roles at NVIDIA.

AI in this role

langgraph

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is seeking a highly technical Senior Developer Relations Manager to drive adoption of Omniverse and physical AI simulation libraries and AI models across our software partner ecosystem. The collaboration 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:

  • Serve as a technical advisor and problem solver with partner engineering teams, collaborating on architecture, code, and integration for Omniverse and AI enabled-solutions.

  • Develop and maintain deep technical expertise in NVIDIA Omniverse and related technologies (APIs, USD, NIMs, Blueprints) through prototyping, technical integration and creation of reference architectures.

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

  • Develop and deliver technical enablement resources (code samples, reference architectures, integration guides, workshops) to accelerate partner engineering teams’ adoption and effective use of Omniverse.

  • 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 guidelines, and drive alignment with NVIDIA technical solutions.

  • 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 8+ 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!

  • B.S. 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, develop, 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: real-time 3D visualization and simulation, 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 industrial software, robotics and/or automation technologies (e.e., CAE, CAD, PLM, ERP, MES, SCADA, EDA), with direct hands-on contributions to product integrations or software libraries.

  • 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.

  • Validated ability to structure and complete sophisticated technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external customers (across sales, legal, product or marketing teams as needed).

Ways to stand out from the crowd:

  • Experience with NVIDIA libraries and models (CUDA-X, Omniverse, OpenUSD, RTX, Isaac, PhysicsNeMo, Cosmos)!

  • Proven experience developing or integrating technology libraries into industrial, robotics or automation software.

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

  • Track record of influencing sophisticated product decisions through positive relationships while also balancing software partner needs.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 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.

How we rate this

Developer Relations Manager - Omniverse at NVIDIA rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

LangGraph

Questions you could be asked

  1. What's a project where you used LangGraph hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: LangGraph. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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