Regional Developer Relations Manager, Israel
NVIDIA
Job Overview
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Job Description
Overview
NVIDIA is the central engine of the global AI revolution, providing the essential high-performance computing infrastructure that powers nearly every major AI and generative AI model today. We are rapidly growing into various verticals and looking to grow our team with a developer relations leader. This Regional Developer Relations Manager, Israel role is a key member of the NVIDIA team that would manage our technical engagements in leading industries such as general AI/ML applications development, consumer internet, AI on embedded systems and others; and to evangelize NVIDIA’s portfolio of technologies and accelerate its adoption among developers. Have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.
What You Will Be Doing
- Developing a technical strategy to assure GPU and NVIDIA platforms' adoption for the selected industries focusing on priorities.
- Establishing relationships and influencing the technical leaders and technical communities, specifically developers, startups and ISVs within these industries.
- Evangelizing and developing our leadership position in this market by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities.
- Leading participation in targeted customer and industry developer events and activities.
- Chairing technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources.
- Contributing towards our local ecosystem strategy and development of our value messaging for your customers.
- Being the key advisor to how we are differentiated.
- Becoming a NVIDIA technology mentor and focal point for the software developer community.
What We Need To See
- Bachelor's Degree in Engineering, Science, Technical or other related discipline or equivalent experience. Master's or Ph.D’s is 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 the 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; and at least 3 years’ experience in business development activities.
- Able to work independently and possess excellent communication skills to drive customer and internal engagements.
- Demonstrated 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 our organization.
Ways To Stand Out From The Crowd
- Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
- Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson.
- Experience in network communication protocol is an added advantage.
- Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions.
- Excellent organizational, planning, and execution skills.
Key skills/competency
- Developer Relations
- Technical Evangelism
- AI/ML Platform Adoption
- GPU Technologies
- CUDA Programming
- Deep Learning Frameworks
- Machine Learning Frameworks
- Ecosystem Development
- Strategic Partnerships
- Technical Leadership
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight experience in developer relations, AI/ML, and GPU technologies relevant to NVIDIA.
- Showcase technical depth: Emphasize expertise in CUDA, Deep Learning, and platform adoption successes.
- Prepare for behavioral questions: Demonstrate influence, evangelism, and strategic execution abilities.
- Network effectively: Connect with NVIDIA employees on LinkedIn to gain insights into the company and role.
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