10 days ago

Developer Relations Manager - Robotics and Generative AI

NVIDIA

Hybrid
Full Time
$200,000
Hybrid

Job Overview

Job TitleDeveloper Relations Manager - Robotics and Generative AI
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$200,000
LocationHybrid

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Job Description

About NVIDIA

At NVIDIA, we’re solving the world’s most ambitious problems with our groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. We are seeking a Developer Relations Manager to collaborate with developers in various sectors such as Enterprise, Public Sector, Startups, and Independent Software Vendors (ISVs). This role involves integrating our portfolio of GPU Accelerated Computing solutions, specifically focusing on Robotics and Physical AI.

We need a passionate, focused, self-driven, and creative technologist who has the skills and drive to work in a fast-evolving technological environment that is always on the cutting edge of AI and High-Performance Computing. This individual is motivated, skilled in communication and collaboration, stays organized, and prioritizes achieving goals.

What You'll Be Doing as a Developer Relations Manager - Robotics and Generative AI

  • Deep understanding of AI for Robotics, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress.
  • Proactively seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be a catalyst in ideation, scoping and driving for adoption.
  • Position NVIDIA tools, libraries, and SDK’s with developers across APAC to accelerate their Robotics Developer journey.
  • Discover new workflows, identify blockers to adoption for Physical AI, and report back to the product teams.
  • Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing.
  • We make heavy use of conferencing tools, but some travel is required. You are empowered to find the best way to get your job done and make our partners successful.

What We Need To See

  • BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
  • 10+ years of work-related experience in a technical leadership role and architecting GPU accelerated computing solutions.
  • Deep understanding of Physical/Embodied AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
  • Strong analytical and problem-solving skills, with deep empathy for developers.
  • Clear written and oral communication skills with a proven track record to articulate value propositions to executive and technical audiences.
  • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders.
  • Extensive knowledge and experience with recent advancements in LLMs, VLMs Agentic AI and Gen AI.
  • Hands-on experience with software architecture design, implementation and programming skills.
  • Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities.

Ways To Stand Out From The Crowd

  • Experience developing with ML/DL frameworks and AIOps/MLOps ecosystem of partners and solutions in the cloud and on-prem.
  • Background of experience with NVIDIA Physical AI SDKs – ISAAC, DRIVE, Omniverse, GR00T.
  • Experience and empathy for software engineering and application development.
  • Exposure to NVIDIA AI Software.

Key skills/competency

  • AI for Robotics
  • Generative AI
  • Large Language Models (LLMs)
  • GPU Accelerated Computing
  • Developer Engagement
  • Ecosystem Development
  • Technical Leadership
  • Project Management
  • Software Architecture
  • Physical/Embodied AI

Tags:

Developer Relations Manager
Developer Relations
Technical Evangelism
Partner Management
Ecosystem Building
AI Adoption
Product Feedback
Go-to-Market
Communication
Project Management
Strategy
Robotics AI
Generative AI
Large Language Models
GPU Computing
Machine Learning
Deep Learning
NVIDIA SDKs
AIOps
MLOps
Software Architecture

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How to Get Hired at NVIDIA

  • Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Customize your resume: Highlight experience in AI, Robotics, Generative AI, GPU computing, and developer advocacy. Quantify your impact.
  • Showcase technical depth: Emphasize hands-on experience with ML/DL frameworks, software architecture, and NVIDIA SDKs like ISAAC or Omniverse.
  • Prepare for technical and behavioral interviews: Articulate your passion for AI, problem-solving skills, and ability to collaborate and influence product teams.
  • Network with NVIDIA employees: Connect on LinkedIn with current Developer Relations Managers or engineers to gain insights and potential referrals.

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