Inception Partner Manager - Robotics and Edge AI Startups

Startups are driving disruptive innovation across the AI-powered sectors of robotics, automotive, retail, and manufacturing, due to recent technological advances in deep learning, generative AI, self-driving capabilities, optics and more. NVIDIA supports these emerging technologies by partnering with top startups to leverage AI, HPC, and edge computing. NVIDIA Inception, an acceleration platform for AI and GPU-accelerated startups, provides go-to-market support, expertise, and technology. There are more than 20,000 startups across industries in NVIDIA Inception, with robotics being a significant industry within the ecosystem. We divide these AI startups into categories including self-driving, training and simulation, edge inference, and logistics and manufacturing. 

You will work closely with the most innovative edge-AI startups to change, define, and transform the ecosystem. We are looking for an Inception Partner Manager for Robotics and Edge startups to build, drive and accelerate adoption of NVIDIA solutions. As an Inception Partner Manager, you will be responsible for expanding our startup ecosystem influence from recruiting to early adoption to technical adoption and go-to-market acceleration.  

What you’ll be doing:

• Engage with leading startups focusing on platform adoption, co-selling opportunities and go-to-market initiatives

• Scout, identify, and recruit top automotive and manufacturing startups to join NVIDIA Inception program

• Expand the NVIDIA Inception program ecosystem by aligning with leading innovation labs, venture capital firms and industry software vendors (ISVs)

• Collaborate with developer relations managers and account managers to develop strategies and resources that provide full support for startups and execute go-to-market activations with cross functional teams

• Report on data driven key business metrics to show impact on startup ecosystems 

• Generating reports on relevant trends and perform market analysis 

What we need to see:

• BS/MS or equivalent experience

• Minimum of 6+ years of relevant work experience such as startup accelerators and incubators, executive or management positions at startups or platform ecosystem development at automotive or manufacturing companies 

• Strong knowledge of machine learning, simulation and synthetic data generation, self-driving workflows, logistics in a business development, management, or alliances capacity

• Strong understanding of the robotics, automotive, retail and manufacturing ecosystems focusing on AI/ML startups.

• Experience in relevant technologies, computing, and deep learning application development is a plus

• Can-do attitude and high energy with leadership and excellent interpersonal skills and possess ability to learn complex concepts in a fast-paced environment

Ways to stand out from the crowd:

• Background in a venture backed startup or exit with a deep network of connections into AI startups and VCs in robotics and related industries.

• Experience working on AI model training/inferencing and other GPU-related technologies

• Experience in successfully leading strategic partnerships and a versatile startup ecosystem in automotive or manufacturing 

• Background with deep learning and/or other AI technologies

• Experience solution selling advanced technologies in the automotive industry

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

The base salary range is 152,000 USD - 299,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

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.