Job Description

divh2Developer Relations Manager/h2pWe 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 an 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./ppAt 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 todays markets. The Developer Relations Manager is a high-profile role in NVIDIA as one of the world leaders in accelerated computing!/ppWhat youll be doing:/ppWe 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 NVIDIAs internal engineering, product and marketing teams to enable a rich ecosystem for NVIDIAs 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./ppAdditional responsibilities include:/pulliBuild relationships with partners (engineering, product management and marketing leads, executives) for inference and 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/liliUnderstand application workflow and architectural requirements to enable GPU-based workload acceleration. Integrate NVIDIA acceleration libraries and runtime into partners applications while staying alert to the competitive landscape./liliDrive technical engagement with partners to support partners technology, product and solution development/liliCollaborate with NVIDIA and partner marketing leads to promote partners solutions and showcase use cases NVIDIA enables/liliCollaborate with product/engineering teams to capture partners requirements and prioritize engagements./liliCreate strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions./li/ulpWhat we need to see:/pulliBS/MS/PhD in Computer Science or Engineering or equivalent experience/lili8+ Years of working experience in a relevant field/liliAbility to manage new and existing technical and business alliances across multiple partner groups and the peer NVIDIA team(s)/liliProven understanding of AI/ML software ecosystem and GPU acceleration libraries/liliExcellent communication abilities and collaborative attitude across all major internal functional areas (engineering, sales, marketing, executives) as well as external partners, customers, and content developers/liliSolid understanding of training and inference software stack which markets are emerging most quickly, key players, competitors, etc./li/ulpWays to stand out from the crowd:/pulliExperience successfully building strategic partnerships and a versatile ISVs ecosystem for accelerated computing in AI/ML./liliBackground with NVIDIA products and SDKs (Megatron, TensorRT LLM, CUTLASS, CUDA Toolkit, Python ecosystem)/li/ulpYour 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./ppApplications for this job will be accepted at least until October 9, 2025. 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./p/div

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