Developer Relations Manager - Artificial Intelligence
NVIDIA
Job Overview
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Job Description
Developer Relations Manager - Artificial Intelligence
NVIDIA is seeking a passionate Developer Relations Manager - Artificial Intelligence to drive the development of modern Artificial Intelligence and Generative AI applications with a leading Cloud Service Provider (CSP). This pivotal role focuses on Deep Learning, which is making a significant impact across both research and industry. As a Developer Relations Manager - Artificial Intelligence, you will lead partnerships with developers within a large partner ecosystem, collaborating closely with engineering, research, applications, and new initiatives teams. We are looking for creative individuals eager to build a career at the intersection of AI, machine learning, deep learning, and data analytics. This role requires a strong passion for innovation, building, and driving engineering partnerships and strategies to integrate NVIDIA technologies seamlessly into applications.
This position uniquely combines aspects of developer advocacy, product management, and business development. You and your dedicated CSP team will be instrumental in leading engineering integration and go-to-market activities alongside a multidisciplinary team of engineers, product specialists, and marketing partners. You will engage extensively with various NVIDIA internal groups, including Solutions Architects, Software Developers, HW & SW Architecture, and our product and marketing teams. This role offers high visibility with NVIDIA senior leadership, reflecting its strategic importance in developing computing platforms for deep learning and AI.
What You'll Be Doing
- Lead and develop NVIDIA's developer strategy with a multi-functional team encompassing Product, Engineering, Applied Research, Marketing, and Sales.
- Develop a detailed understanding and prioritized list of services and applications that could benefit from GPU acceleration in the AI / Generative AI space.
- Lead strategic relationships with key influential researchers, leading product teams, and top developers focused on new initiatives.
- Establish strategic relationships with Partner/CSP engineering leads and developers, dedicating yourself to their success. Translate 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. Stay informed about the competitive landscape and communicate insights internally.
- Create strategic partnerships and build community by attending research conferences and hosting technical meetups. Organize developer summits focusing on AI, Deep Learning, HPC, and Professional Visualization. Engage at industry events to speak, gather requirements, establish relationships, and showcase NVIDIA GPU accelerated solutions.
What We Need To See
- BS/MS/PhD in Computer Science or Engineering or equivalent experience.
- 15+ years of experience with Cloud, AI, Scalable Applications, Data Analytics, and GPU technology.
- Good technical understanding of Generative AI, high-performance computing, and database analytics.
- Solid understanding of machine learning, deep learning, artificial intelligence platforms, and ecosystems.
- Comfortable working across all major internal functional areas (engineering, sales, marketing, executives), as well as with external partners, customers, and content developers.
Ways To Stand Out From The Crowd
- Demonstrated excellent interpersonal skills (both verbal and written) and proven ability to represent NVIDIA externally.
- Excellent social, planning, and prioritization skills.
- You are a self-starter with an approach for growth and a passion for continuous learning.
Key skills/competency
- Developer Relations
- Artificial Intelligence
- Generative AI
- Deep Learning
- GPU Acceleration
- Cloud Computing
- Strategic Partnerships
- Ecosystem Development
- Product Management
- Business Development
How to Get Hired at NVIDIA
- Research NVIDIA's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to align your application.
- Customize your resume: Tailor your resume to highlight extensive experience in AI, Generative AI, Deep Learning, and GPU technologies, emphasizing 15+ years in Cloud and scalable applications.
- Showcase technical depth: Provide concrete examples of leading strategic partnerships, integrating NVIDIA technologies, and understanding complex AI/ML platforms.
- Prepare for behavioral questions: Demonstrate strong interpersonal, communication, and leadership skills, especially in cross-functional team and external partner management.
- Network strategically: Connect with current NVIDIA employees, especially in developer relations or AI teams, to gain insights and express your interest.
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