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JobsNVIDIA

Robotics Business Development Manager - Humanoid

NVIDIA

Robotics Business Development Manager - Humanoid

NVIDIA

China, Beijing

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Base salary plus commission

Stock options

Generous PTO

Health benefits

Uncapped earning potential

Equity

Unlimited Pto

Healthcare

Required Skills

Outreach

HubSpot

Gong

NVIDIA is seeking a Robotics Business Development (BD) Manager to join our team! As the world leader in Artificial Intelligence, NVIDIA has revolutionized industries with its unparalleled GPU-based computers, powering Deep Learning, Generative AI, accelerated analytics, autonomous vehicles, and robots globally. Our clientele includes global tech titans across verticals such as Manufacturing, Automotive, Aerospace, Healthcare, and more. Positioned as the top AI Computing Company, NVIDIA is looking for a BD Manager to drive growth and expansion of our humanoid 3-computer business. This role focuses on identifying new business opportunities, building strategic partnerships, and increasing NVIDIA's market share within the humanoid industry.

What you’ll be doing:

  • Drive adoption of NVIDIA's 3-computer platforms within the humanoid ecosystem.

  • Develop the partner ecosystem across humanoid OEMs and ISVs, enabling various industries.

  • Build strategic relationships within the humanoid ecosystem and implement go-to-market strategies aligned with global and regional plans.

  • Foster strong collaboration among partners within the humanoid landscape.

  • Collaborate with major internal functional areas (engineering, sales, marketing, executives).

  • Drive short and long-term revenue opportunities.

  • Forecast and deliver revenue goals.

  • Contribute to high-profile industry events and meetups.

  • Provide feedback on product development needs from customer engagements and implementations.

  • Continuously seek opportunities to showcase customer success, working with marketing to package success stories and participate in launches and events.

What we need to see:

  • Bachelor's Degree in engineering or computer science, or equivalent experience; Master's or Ph.D. preferred.

  • 10+ years of experience in Robotics, AI, and/or Autonomous Digital Twins applications.

  • Knowledge of Humanoids/Physical AI, including foundation model training, simulation, RL learning, locomotion, and manipulation.

  • Strong communication skills to manage relationships with key technical developers in communities; ability to lead and interact with cross-functional team members to achieve project tasks and goals.

  • Experience in developing and executing sophisticated sales strategies across multiple organizations.

  • Experience in qualifying new customers to enable high-growth revenue opportunities, product alignment, decision-making, etc.

  • Flexible and resilient problem solver.

  • Fluency in spoken and written English for worldwide communication.

Ways to stand out from the crowd:

  • Extensive network within the humanoid/physical AI landscape.

  • Experience working with and presenting to C-level executives and business lines across organizations.

  • Intellectual curiosity and passion for innovation.

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About NVIDIA

NVIDIA

NVIDIA

Public

A computing platform company operating at the intersection of graphics, HPC, and AI.

10,001+

Employees

Santa Clara

Headquarters

$4.57T

Valuation

Reviews

4.1

10 reviews

Work Life Balance

3.5

Compensation

4.2

Culture

4.3

Career

4.5

Management

4.0

75%

Recommend to a Friend

Pros

Great culture and supportive environment

Smart colleagues and excellent people

Cutting-edge technology and learning opportunities

Cons

Team-dependent experience and outcomes

Work-life balance issues with long hours

Politics and influence over competence

Salary Ranges

47 data points

Junior/L3

Mid/L4

Junior/L3 · Analyst

7 reports

$170,275

total / year

Base

$130,981

Stock

-

Bonus

-

$155,480

$234,166

Interview Experience

7 interviews

Difficulty

3.1

/ 5

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

System Design Interview

6

Team Review

Common Questions

Coding/Algorithm

System Design

Technical Knowledge

Behavioral/STAR