Senior Developer Relations Manager at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

AI, Manufacturing, Automotive, Aerospace, Healthcare, TelcoIndustries

Requirements

Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience (Master’s or Ph.D. preferred)
Intellectual curiosity and passion for innovation
Experience in several verticals/industries with good knowledge and trends in the industry
Expertise in CUDA programming, GPU platforms, and Deep Learning and Machine Learning frameworks
Deep understanding of who and how to engage developer’s product and engineering organizations with at least 8 years related experience
5+ years’ experience in an AI and ML software development environment or working with developers in these areas
At least 3 years’ experience in business development activities
Able to work independently and possess excellent communication skills to drive customer and internal engagements
Demonstrate ability to influence, evangelize, and persuade at both operational and executive level (including engineering/product management) to achieve a targeted outcome
Ability to execute and accelerate strategic decisions
Ability to effectively deliver value propositions for specific and targeted industries
Ensure a positive experience for external customers and partners while working cross-functionally within the organization

Responsibilities

Develop a technical strategy to ensure Nvidia platforms adoption for selected industries, focusing on priority industries and use cases
Establish relationships with technical leaders in organizations and communities, specifically developers, startups, and ISVs within the industries
Evangelize and develop NVIDIA’s leadership position by accelerating the availability of GPU-accelerated AI and data science applications in the specified market by helping developers understand the value of hardware products and SDKs in addressing critical development opportunities
Lead participation in targeted customer and industry developer events and activities
Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers, and engineering resources; contribute towards local ecosystem strategy and development of value messaging for customers
Be the key advisor on how NVIDIA is differentiated
Become a NVIDIA technology mentor and focal point for the software developer community

Skills

GPU

Deep Learning

Data Science

SDK

Developer Relations

Evangelism

Technical Strategy

Embedded Systems

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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