Senior Developer Relations Manager, CSP Hyperscale at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Artificial Intelligence, Cloud ComputingIndustries

Requirements

  • 12+ years of experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology
  • BS/MS/PhD in Computer Science, Engineering, or a related field (or equivalent experience)
  • Good technical understanding of Generative AI, high-performance computing, and database analytics
  • Strong understanding of machine learning, deep learning, and artificial intelligence platforms and ecosystems
  • Demonstrated success in developer relations, technical evangelism, or a related role within the technology sector
  • Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers
  • Proven ability to lead projects and teams, with a track record of delivering ambitious goals

Responsibilities

  • Lead and develop NVIDIA developer and ISV strategy with a multi-functional team: Product, Engineering, Applied Research, Marketing, and Sales
  • Develop a detailed understanding and prioritization list of services and applications that could benefit from GPU acceleration in the AI / Gen AI space
  • Lead strategic relationships with key opinion leaders, influential researchers, and leading product teams
  • Establish trusted relationships with CSP engineering leads and developers, dedicating yourself to making them successful and turning feature requests into actionable engineering and product steering
  • Understand application workflow and architectural requirements to enable GPU-based workload acceleration
  • Integrate NVIDIA GPU acceleration into CSP Applications while staying alert to the competitive landscape
  • Create strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions

Skills

Deep Learning
Generative AI
Machine Learning
GPU Acceleration
Developer Advocacy
Product Management
Business Development
AI Applications
Data Analytics

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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