Developer Relations Manager Artificial Intelligence
NVIDIA
Job Overview
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Job Description
About the Role: Developer Relations Manager Artificial Intelligence
We are looking for a Developer Relations Manager Artificial Intelligence passionate about developing modern Artificial Intelligence and Generative AI applications with a leading CSP. This role primarily focuses on Deep Learning, which is significantly impacting research and industry. As a Developer Relations Manager, you will lead partnerships with developers within a large partner organization, working closely with engineering, research, applications, and new initiatives teams. We seek 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 across various applications.
This position is a blend of developer advocacy, product management, and business development. You, along with the CSP team, will be responsible for leading engineering integration and go-to-market activities with a multidisciplinary team of engineers, product specialists, and marketing partners. You will collaborate extensively with numerous NVIDIA internal groups, including Solutions Architects, Software Developers, HW & SW Architecture teams, and our product and marketing teams. This role offers high visibility with NVIDIA senior leaders due to 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 cross-functional team including 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 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.
- Monitor the competitive landscape and communicate insights internally.
- Create strategic partnerships and build community by attending research conferences and hosting technical meetups.
- Host developer summits focused on AI, Deep Learning, HPC, and Professional Visualization.
- Engage in 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.
- Ability to comfortably work 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 evidence of your 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
- Machine Learning
- GPU Acceleration
- Strategic Partnerships
- Cloud Computing
- 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. Understand their leadership in AI and high-performance computing.
- Tailor your resume for AI: Customize your resume to highlight experience in Developer Relations, AI, Deep Learning, Generative AI, and GPU technologies. Use keywords from the job description.
- Showcase your technical depth: Provide concrete examples of your experience with cloud platforms, scalable AI applications, and fostering developer ecosystems. Quantify your impact where possible.
- Prepare for behavioral interviews: Be ready to discuss how you've built and maintained strategic partnerships, handled complex technical integrations, and driven go-to-market strategies with cross-functional teams.
- Network and engage: Attend NVIDIA-related webinars, developer events, or forums to demonstrate genuine interest and connect with current employees on LinkedIn for insights.
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