NVIDIA
Senior Developer Relations Manager, Physical AI Metropolis

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Visionary Opportunity at the Intersection of AI and Executive Influence
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.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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
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