Used Tools & Technologies
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Required Skills & Competences ?
Marketing @ 3 Machine Learning @ 3 Communication @ 3 Prioritization @ 3 Product Management @ 3 GPU @ 5Details
We are looking for a Developer Relations Manager focused on CSP hyperscale partnerships and modern Artificial Intelligence / Generative AI applications. The role sits at the intersection of imaging, machine learning, deep learning, and data analytics and combines developer advocacy, product management, and business development. You will lead engineering integration and go-to-market activities with cross-functional teams and work closely with Solutions Architects, Software Developers, HW & SW Architecture, product, and marketing teams.
Responsibilities
- Lead and develop developer and ISV strategy with multi-functional teams (Product, Engineering, Applied Research, Marketing, Sales).
- Prioritize services and applications that can benefit from GPU acceleration in AI / Generative AI; engage influential researchers, product teams, and developers.
- Establish and maintain strategic relationships with CSP engineering leads and developers; turn feature requests into actionable engineering and product guidance.
- Understand application workflows and architectural requirements to enable GPU-based workload acceleration and integrate NVIDIA GPU acceleration into CSP applications.
- Monitor competitive landscape and communicate findings internally.
- Build community and strategic partnerships: attend research conferences, host technical meetups and developer summits (AI, Deep Learning, HPC, Professional Visualization), speak at industry events, collect requirements, and showcase GPU-accelerated solutions.
Requirements
- BS / MS / PhD in Computer Science, Engineering, or equivalent experience.
- 12+ years of experience with Cloud, AI, scalable applications, data analytics, and GPU technology.
- Strong technical understanding of Generative AI, deep learning, machine learning, high-performance computing, and database analytics.
- Solid understanding of AI platforms and ecosystems and how to accelerate workloads on GPUs.
- Ability to work across engineering, sales, marketing, and executive stakeholders as well as external partners, customers, and content developers.
Ways To Stand Out
- Demonstrated excellent interpersonal, verbal, and written communication skills and proven ability to represent a technology company externally.
- Excellent planning, social, and prioritization skills.
- Self-starter with a growth mindset and passion for continuous learning.
Compensation & Benefits
- Base salary range (by level):
- Level 5: 224,000 USD - 356,500 USD
- Level 6: 272,000 USD - 425,500 USD
- Eligible for equity and company benefits.
Additional Information
- High visibility role with senior leaders given the strategic priority on computing platforms for deep learning and AI.
- Applications accepted at least until September 21, 2025.
- NVIDIA is an equal opportunity employer and values diversity in its workforce.