Developer Relations Manager, Smart Spaces - WWFO

1 Month ago • 5 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks an Industrial Developer Relations (DevRel) Manager to lead technical engagements within the industrial/manufacturing community. Responsibilities include driving NVIDIA platform adoption in pilot projects and key accounts, managing ecosystems involving customers, partners, and researchers, and defining solutions for company challenges. The role involves creating a vibrant training environment (workshops, hackathons), coordinating with internal teams, and showcasing NVIDIA's technology.
Must have:
  • 5+ years experience
  • Bachelor's degree in engineering/computer science
  • Strong IoT, data analytics, Industry 4.0 experience
  • Software development skills (Python/C/C++)
  • Excellent communication and leadership skills
Good to have:
  • Master's or PhD
  • Experience in manufacturing process improvement
  • AI/ML/DL frameworks expertise
  • GPU computing and CUDA programming experience
  • Deep learning application experience

Job Details

We are looking for an Industrial Developer Relations (DevRel) Manager! NVIDIA is the world leader in Visual Computing and in the last few years, with its unparalleled GPU based computers, has been powering up all of worlds Deep Learning, AI, accelerated analytics, autonomous vehicles and robots around the world. NVIDIA's customers include global tech-titans and span multiple verticals such as Manufacturing, Automotive, Aerospace, Healthcare and others. NVIDIA is well positioned as the top ‘AI Computing Company’. The Developer Relations Manager would lead our technical engagements within Industrial/Manufacturing community, to evangelize NVIDIA technologies and accelerate its adoption. You would have strong technical competence and a leader who can function effectively and independently in a matrixed environment.

What you’ll be doing:

  • Drive the NVIDIA platform landing in pilot project and light house account with industrial/manufacturing related applications and use cases.

  • Develop and/or manage the Industrial/Manufacturing ecosystem includes major customers’ Enterprise IT staff, domain experts, computer scientists and data scientists, together with external partners working in universities and research institutes, as independent software vendors or as service delivery partners.

  • Reviews business context for solutions to company challenges as well as defining the vision and requirements for the solution, recommending potential options, (which may include RFIs, RFPs or prototype development), selecting the most optimal option, and the development of a roadmap for the selected solution.

  • Maintain a fertile training and collaboration environment comprising workshops, hackathons, briefings, regular communications with developer teams, coordinating with internal NVIDIA resources such as IBD, development technologists (DevTechs), Solution Architect, Engineering team and product marketing groups.

What we need to see:

  • 5+ years working experience with Bachelor's Degree in engineering or computer science or equivalent experience. Master's or Ph.D is preferred. Intellectual curiosity and passion for innovation.

  • Strong experience in the use of the internet of things, data analytics and management, industry 4.0 initiatives, and vision systems. And good feeling the competitive landscape and possible solutions.

  • Experience in software development and coding in various languages (Python/C/C++/etc), excellent knowledge of software and application design and architecture, understanding of software quality assurance principles.

  • Good communication skills to manage relationships with the key technical developer in communities. Able to lead and interact with cross functional team members to accomplish project tasks and goals.

Ways to stand out from the crowd:

  • Expertise in improving productivity, quality, and project management in a manufacturing operation. Hands on experience with process improvements and error proofing using vision systems and automated inspections.

  • Experience on AI/ML/DL frameworks and data science tools and algorithms. Background with GPU computing and CUDA programming. Extensive experience applying deep learning methods to computer vision or natural language problems.

  • Strong collaboration and interpersonal skills.

NVIDIA is widely considered to be one of the technology world's most desirable employers with some of the most forward-thinking and hardworking people in the world working here! If you're creative and autonomous, we want to hear from you.

#deeplearning

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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