Full-Time

Developer Relationship Manager

Gsi

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$272k - $419.8kAnnually

+ Equity

Expert

Remote in USA + 1 more

More locations: Remote in Canada

Job can be performed remotely, with options in the US and Canada.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Requirements
  • BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience).
  • 12+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions.
  • Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers.
  • Ability to multitask effectively in a dynamic environment.
  • Strong analytical and problem-solving skills.
  • Clear written and oral communication skills with proven ability to articulate value propositions to executive and technical audiences.
  • Extensive knowledge and experience with recent advancements in LLMs and Gen AI.
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.
  • Deeply understand Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress.
  • Promote NVIDIA tools, libraries, and SDK’s with partner architects and developers.
  • Discover new workflows, identify blockers to partner adoption, and report back to the product teams.
  • Drive early adoption of new products and support launch and go-to-market activities.
  • Collaborate with NVDIA partner managers, solution architects, industry business development managers, sales and marketing.

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 main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms tailored for developers and data scientists. NVIDIA differentiates itself from competitors by focusing on advanced technology and continuous innovation, ensuring their products meet the evolving needs of users. The company's goal is to lead in AI and HPC solutions, providing powerful tools and services that enable immersive experiences and drive advancements across multiple industries.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

9%

1 year growth

27%

2 year growth

43%
Simplify Jobs

Simplify's Take

What believers are saying

  • Investment in Ayar Labs enhances NVIDIA's AI infrastructure capabilities.
  • Acquisition of VinBrain expands NVIDIA's AI technology portfolio.
  • Participation in Nebius Group's financing aligns with NVIDIA's AI infrastructure focus.

What critics are saying

  • Increased competition from xAI challenges NVIDIA's AI sector dominance.
  • Ayar Labs' advancements may threaten NVIDIA's AI infrastructure market share.
  • VinBrain acquisition could lead to integration challenges and cultural clashes.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in gaming and professional visualization markets.
  • NVIDIA's cloud services offer scalable AI and machine learning solutions.

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