[Remote] Developer Relations Manager - Artificial Intelligence at NVIDIA

United Kingdom

Apply Now

Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
15+ years experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology
Good technical understanding of Generative AI, high-performance computing, database analytics
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
Demonstrated excellent interpersonal skills (both verbal and written) and evidence of ability to represent NVIDIA externally (ways to stand out)
Excellent social, planning and prioritization skills (ways to stand out)
Self-starter with approach for growth and passion for continuous learning (ways to stand out)

Responsibilities

Lead and develop NVIDIA developer strategy with 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 relationship with key influential researchers, leading product teams, leading developers focused on new initiatives
Establish strategic relationships with Partner/CSP engineering leads & developers, dedicate yourself to making them successful
Turn features requests into actionable engineering and product steering
Understand application workflow and architectural requirements to enable GPU based workloads acceleration
Integrate NVIDIA GPU acceleration into CSP Applications
Be alert to the competitive landscape and communicate internally
Create strategic partnership and build community by attending research conferences and hosting technical meetups
Host developers summits; AI, Deep Learning, HPC, Professional Visualization
Engage industry events to speak, collect requirements, establish relationships, showcase NVIDIA GPU accelerated solutions

Skills

Artificial Intelligence

Generative AI

Deep Learning

Machine Learning

GPU Acceleration

Developer Advocacy

Product Management

Business Development

Engineering Partnerships

Go-to-Market

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.

Land your dream remote job 3x faster with AI

Try Jobo Free