NVIDIA

Inception Partner Manager - Robotics and Physical AI Startups

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Robotics, Automotive, Agtech, Smart Cities, Physical AI, Edge AI, Manufacturing, Logistics, AI, HPC, GPU ComputingIndustries

Requirements

Candidates must possess a BS/MS degree or equivalent experience, with a minimum of 5 years of relevant work experience in areas such as startup accelerators, incubators, executive roles at startups, or platform ecosystem development within automotive or manufacturing companies. A strong understanding of machine learning, simulation, synthetic data generation, self-driving workflows, and logistics in a business development, management, or alliances capacity is required. Familiarity with the robotics, automotive, retail, and manufacturing ecosystems, with a focus on AI/ML startups, is essential. Experience with relevant technologies, computing, and deep learning application development is a plus, as are a can-do attitude, high energy, leadership, excellent interpersonal skills, and the ability to learn complex concepts quickly in a fast-paced environment. A background in a venture-backed startup or exit with a deep network in AI startups and VCs in robotics and related industries, experience with AI model training/inferencing and GPU-related technologies, successful strategic partnership leadership, and experience solution selling advanced technologies in the automotive industry are advantageous.

Responsibilities

The Inception Partner Manager will engage with leading startups to drive platform adoption, identify co-selling opportunities, and execute go-to-market initiatives. Responsibilities include scouting, identifying, and recruiting top automotive and manufacturing startups for the NVIDIA Inception program. The role involves expanding the program's ecosystem by collaborating with innovation labs, venture capital firms, and industry software vendors. The manager will work with developer relations and account managers to create strategies and resources for startup support and execute go-to-market activations with cross-functional teams. Additionally, the position requires reporting on key business metrics to demonstrate impact on startup ecosystems and generating reports on relevant trends, including performing market analysis.

Skills

Robotics
AI
Edge Computing
Deep Learning
Generative AI
Go-to-Market Strategy
Partnership Management
Business Development
Market Analysis
Startup Ecosystem

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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