[Remote] Inception Partner Manager - Robotics and Physical AI Startups at NVIDIA

California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Automotive, AgTech, Smart Cities, Physical AI, ManufacturingIndustries

Requirements

BS/MS or equivalent experience
8+ 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

Responsibilities

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

Skills

Key technologies and capabilities for this role

AIHPCEdge ComputingDeep LearningGenerative AIRoboticsGo-to-MarketStartup EcosystemMarket AnalysisCo-SellingDeveloper RelationsVenture Capital

Questions & Answers

Common questions about this position

What education and experience are required for the Inception Partner Manager role?

A BS/MS or equivalent experience and 8+ years of relevant work experience in startup accelerators, incubators, executive roles at startups, or platform ecosystem development at automotive or manufacturing companies are required.

What key skills and knowledge are needed for this position?

Candidates need strong knowledge of machine learning, simulation, synthetic data generation, self-driving workflows, and logistics, plus a strong understanding of robotics, automotive, retail, and manufacturing ecosystems focused on AI/ML startups.

What are the main responsibilities of the Inception Partner Manager?

Responsibilities include engaging with startups for platform adoption and co-selling, scouting and recruiting top startups to NVIDIA Inception, expanding the ecosystem via partnerships with innovation labs, VCs, and ISVs, collaborating on strategies, and reporting on business metrics and market trends.

What qualities make a candidate stand out for this role?

A background in a venture-backed startup or exit with a deep network of connections into AI startups and VCs in robotics and related industries, plus experience working on AI models, will help candidates stand out.

Is the salary or compensation specified for this position?

This information is not specified in the job description.

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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