Developer Relations Manager - GenAI for Automotive at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
8+ years experience in related fields such as Technology Program/project Management and customer facing roles
Good technical understanding of Generative AI, high-performance computing
Solid understanding of machine learning, deep learning, artificial intelligence platforms and ecosystems
Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers
Passion for ecosystem development
Excellent communication, presentation and interpersonal skills
Ability to be proactive and work with minimal supervision
Experience working in a global environment
Ways to stand out from the crowd
Demonstrated excellent interpersonal skills (both verbal and written) and evidence of your ability to represent NVIDIA externally
Excellent social, planning and prioritization skills
You are a self-starter with approach for growth and passion for continuous learning

Responsibilities

Closely engage with partner executives and practice leaders on building strategy and execution plan to grow Gen AI and LLM capabilities and solution offers
Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space
Promote NVIDIA tools, libraries, and SDK’s with partner architects and developers
Understand application workflow and architectural requirements to enable GPU based workloads acceleration
Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing
Deeply understand Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress
Discover new workflows, identify blockers to partner adoption, and report back to the product teams
Develop success stories, advise on demos for trade shows and developer conferences, create assets for social media programs and other assets that raise awareness to press, mutual customers and business partners

Skills

Generative AI

Deep Learning

Model Training

Inference

GPU Acceleration

NVIDIA SDK

LLM

Developer Advocacy

Product Management

Business Development

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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