Senior Developer Relations Manager - Robotics

Reposted 2 Days Ago
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Tokyo
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead the strategy for NVIDIA's Robotics platform, focusing on customer integration, partnerships, technical demonstrations, and enhancing AI solutions adoption.
Summary Generated by Built In

NVIDIA is seeking a visionary Senior Developer Relations Manager to lead our Robotics strategy, with a focus on our NVIDIA Robotics platform! This role combines ground breaking AI expertise with strategic partnership management to accelerate the adoption of our Robotics platform and other NVIDIA solutions including NIMs and Blueprint.

What you'll be doing:

  • Drive the three computer solution adoption: Architect end to end solutions with advanced training, simulations and inference and accelerate customer’s adoption.

  • Drive Isaac adoption: implement the integration and deployment of NVIDIA’s Issac software with strategic customers, system integrators, enterprise partners and startups.

  • Lead customer integration with EA release software as a customer facing window working closely with product team in HQ.

  • Making customer success stories and spreading them to the market with marketing activities.

  • Develop Technical Demonstrations: Create compelling proof-of-value and benchmarks that illustrate the power of Issac capabilities in real-world scenarios.

  • Technical Evangelism: Present NVIDIA robotics platform including 3 computer solutions and Isaac at high-profile industry events, partner workshops, and executive briefings.

  • Strategic Partnership Management: Cultivate relationships with key decision-makers at system integrators and enterprise partners and startups to drive our robotics solution adoption.

What we need to see:

  • Advanced degree or equivalent experience in Computer Science, Machine Learning, or related field.

  • 5+ years of hands-on experience in AI/ML, with a strong focus on robotics or related filed.

  • Proficiency in PyTorch and/or TensorFlow, in optimizing models for GPU acceleration.

  • Proven experience in working with system integrators, enterprise partners and startups on AI solution deployments.

  • Familiarity with edge AI deployment

  • Strong customer/partner relationship skills.

Ways to stand out from the crowd:

  • Deep technical knowledge of physical AI, reinforcement learning and foundation models.

  • Strong understanding of the enterprise AI landscape and the outstanding challenges faced by system integrators in adopting new AI technologies.

  • Strong programming skills in Python.

  • Strong understanding of the enterprise AI landscape and the outstanding challenges faced by customers and partners in adopting new AI technologies.

  • Experience in developing and delivering technical training programs for partners.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 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/

NVIDIA is committed to fostering a diverse 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.

Top Skills

AI
Machine Learning
Python
PyTorch
Robotics
TensorFlow
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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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