Senior Developer Relations Manager, Physical AI Metropolis

Reposted 18 Hours Ago
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Hiring Remotely in Germany
Remote
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
The Senior Developer Relations Manager will drive AI technology adoption by engaging with ISVs and enterprise leaders, provide technical leadership in AI and computer vision, and lead thought leadership discussions for NVIDIA's AI ecosystems.
Summary Generated by Built In

Are you a visionary at the intersection of AI innovation and executive influence? Do you thrive on shaping the future of visual understanding and AI-driven operational intelligence? If you’re a bold, strategic problem solver with deep technical expertise in modern computer vision, foundation models, and AI agents — this is your opportunity to lead from the front and help redefine what’s possible in the world of Physical AI.

As a Senior Developer Relations Manager for NVIDIA Metropolis, you’ll be a key force driving the adoption of next-generation AI technologies that transform how cities, industries, and infrastructure think, see, and act. You’ll engage with innovative ISVs, global enterprise leaders, and ecosystem partners to unlock the full potential of visual understanding and automation. This is your chance to be a trailblazer in an era where perception meets reasoning, helping to accelerate the evolution from traditional AI pipelines to multimodal Vision-Language Models (VLMs) and intelligent agents capable of real-world decision making.

What You’ll Be Doing

  • Identify, build, and guide strategic relationships across the AI ecosystem, from startups to enterprise CEOs, driving real-world adoption of NVIDIA’s advanced Vision AI and VLM capabilities

  • Engage developers and partners working on video analytics, perception, and AI agent use cases to bring breakthrough use cases to life

  • Provide hands-on technical leadership, augmenting CNN-based models with Vision Language Model (VLM) architectures into applications for video understanding, safety, operational intelligence, etc.

  • Partner closely with NVIDIA’s engineering, product, and marketing teams to guide developers and accelerate innovation within intelligent environments

  • Lead thought leadership discussions and get-to-market strategies to expand NVIDIA’s footprint in next-generation visual computing and AI ecosystems

What We Need To See

  • Deep technical expertise in AI and computer vision, including hands-on experience with CNN architectures, Vision-Language Models (VLMs), and AI agent systems

  • Proven track record working directly with executive collaborators (C-suite, CTOs, founders) to shape technical strategy and drive measurable business outcomes

  • Strong background in AI for video understanding, public safety, ITS, industrial operational intelligence, safety compliance, or related domains

  • 8+ years of experience in technical roles that bridge innovation, strategy, and relationship management

  • Bachelor’s degree or equivalent experience in Computer Science, Engineering, or related field (Master’s or Ph.D. highly preferred)

  • Exceptional communication, executive presence, and ability to navigate complex technical and business dynamics

Ways To Stand Out From The Crowd

  • Experience building and deploying AI solutions for physical environments — robotics, manufacturing, intelligent spaces

  • Familiarity with NVIDIA platforms such as Metropolis, DeepStream, CUDA-X, Omniverse

  • Proven success in empowering developer ecosystems and accelerating partner adoption in emerging AI fields

Skills Required

  • Deep technical expertise in AI and computer vision
  • Hands-on experience with CNN architectures, Vision-Language Models, and AI agent systems
  • 8+ years of experience in technical roles
  • Bachelor's degree or equivalent in Computer Science, Engineering, or related field
  • Exceptional communication and executive presence

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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