Senior Developer Relations Manager, AI Platform Software job opportunity at NVIDIA.

Home Jobs In United States Of America Tag: AI Platform Software Senior Developer Relations Manager, AI Platform Software position at NVIDIA


DatePosted 27 Days Ago bot
NVIDIA Senior Developer Relations Manager, AI Platform Software
Experience: General
Pattern: full-time
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AI Platform Software

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degreePhD
loacation US, CA, Santa Clara, United States Of America
loacation US, CA, Santa ..........United States Of America

We are looking for a Developer Relations Manager - AI Platform SW, passionate about developing modern Artificial Intelligence, and Generative AI applications with leading researchers and developers. Focus will be on accelerating GenAI model training and inference, which is making a major impact across research and industry. This Developer Relations Manager will lead our partnerships with developers within a AI software ecosystem, working with engineering, research, applications, and new initiatives. We need innovative people who want to build a career at the intersection of state of the art research and production. Developer Relations Managers should be passionate about building and driving engineering partnership and strategies to integrate NVIDIA technologies throughout the developer applications. At NVIDIA, we are enabling AI platform software solutions for accelerated compute resources on-prem and in the cloud.  It is critical to build strategic partnerships with our software ecosystem partners and our developer communities so they can build solutions our mutual customers require to operate nimbly in today's markets. The Developer Relations Manager is a high-profile role in NVIDIA as one of the world leaders in accelerated computing! What you’ll be doing: We are looking for a Developer Relations Manager to drive technical, business and marketing collaboration with NVIDIA platform software ecosystem partners for AI platform software. In this important role, you will drive the engagement between our partners and NVIDIA’s internal engineering, product and marketing teams to enable a rich ecosystem for NVIDIA’s products adoption. You will be responsible to define strategic engagements, lead existing and new collaborations to a successful outcome, and contribute to their evangelization with developers and customers. An ideal candidate has proven experience developing, architecting, leading or managing several software ecosystem projects with external partners, technical background in AI/ML systems, fundamentals of computer systems architectures (ISAs) including x86, Arm, and a solid understanding and success co-marketing and evangelizing production ready projects. Additional responsibilities include: Build relationships with partners (engineering, product management and marketing leads, executives) for inference and post-training frameworks, kernel and communication libraries. You will be working with leading software companies and developer communities to drive adoption of NVIDIA platforms and solutions Understand application workflow and architectural requirements to enable GPU-based workload acceleration. Collaborate with partners integrating NVIDIA platform softwares into modern training and inference frameworks to accelerate large-scale distributed rollouts, simulation, and experience replay at scale. Collaborate with product/engineering teams to capture partners requirements and prioritize engagements. Create strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions. Collaborate with NVIDIA and partner marketing leads to promote partners’ solutions and showcase use cases NVIDIA enables What we need to see: BS/MS/PhD in Computer Science or Engineering or equivalent experience 8+ Years of working experience in a relevant field Ability to manage new and existing technical and business alliances across multiple partner groups and the peer NVIDIA team(s) Proven understanding of AI/ML software ecosystem and GPU acceleration libraries Excellent communication abilities and collaborative attitude across all major internal functional areas (engineering, sales, marketing, executives) as well as external partners, customers, and content developers Solid understanding of training and inference software stack – which markets are emerging most quickly, key players, competitors, etc. Ways to stand out from the crowd: Experience successfully building strategic partnerships and a versatile ISVs ecosystem for accelerated computing in AI/ML. Experience contributing to or deploying RL and inference frameworks such as TRL, veRL, Unsloth, vLLM, sglang or similar open-source or internal systems. Familiarity with efficient fine-tuning and post-training techniques (LoRA/QLoRA, low-precision training, memory-optimized RL pipelines). Background with NVIDIA products and SDKs (Megatron, TensorRT LLM, CUTLASS, CUDA Toolkit, Python ecosystem) NVIDIA is widely viewed as one of the technology world's most desirable employers due to its groundbreaking technologies. Employee will greatly benefit working at NVIDIA, gain valuable experience in operational excellence, diversity, and expand skill sets in machine learning and AI. If you are software and support service operationalization focused, creative and driven, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until February 15, 2026. This posting is for an existing vacancy.  NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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