Developer Relations Manager at NVIDIA

Dubai, Dubai, United Arab Emirates

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Financial Services, Healthcare, Life SciencesIndustries

Requirements

BS/MS in AI, Data Science or computer science-related field (or equivalent experience)
A minimum of 8-10+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships
5+ years of direct hands-on experience in AI, Generative AI or Physical AI
Proven experience leading, partnering, and scaling developer programs at major technology companies, ISVs, or within relevant verticals, focusing on Generative AI, applied machine learning, or physical AI development
Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences, from engineers to executives
Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product, or marketing teams as needed)
Arabic and English fluency required
Ways to stand out
Deep Understanding of the ME AI ecosystem, use cases, and new technologies
Knowledge of the NVIDIA product stack

Responsibilities

Act as a trusted technical advisor, leading engagements across high-impact industries such as Financial Services, Healthcare and Life Sciences, and beyond
Understand customer critical workloads, and advise on technical enablement strategies on NVIDIA stack integration
Guide partners and customers through the NVIDIA integration journey, fostering co-innovation and the development of next-generation solutions
Map, build, and expand a vibrant ecosystem of strategic partners to multiply growth opportunities, champion NVIDIA technologies, track ecosystem trends
Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies
Work closely with partner engineering teams, technical leaders, and decision-makers to unpack goals, tackle technical challenges, and endorse protocols for successful integrations
Represent and advocate for the partner's technical needs and funnel feedback to NVIDIA’s internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps

Skills

Data Science

NVIDIA technologies

Software Engineering

Developer Relations

Technical Partnerships

Integration

Co-innovation

Ecosystem Building

Financial Services

Healthcare

Life Sciences

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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