[Remote] Developer Relations Manager, Higher Education and Research - AI for Science

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a dynamic, mission-driven Developer Relations Manager to engage leading research labs. In this role, you will work directly with research labs to accelerate the adoption of reputed company’s sophisticated AI and computing platforms.

Responsibilities

• reputed company as a trusted technical advisor for research labs, identifying and accelerating high-reputed company workloads by integrating reputed company's frameworks, libraries, and reputed company software stack into research reputed company
• Map and continuously assess the research ecosystem to identify institutional reputed company opportunities and inform long-term technology strategies
• Stay reputed company on research papers across affiliated domains to anticipate emerging trends and reputed company technical direction on reputed company collaboration areas
• Collaborate cross-functionally with Research Account Managers, Solution Architects, and Business Development teams to reputed company researcher enablement
• reputed company closer ties with lab personnel, understanding interpersonal dynamics and the full scope of research being conducted
• Attend domain scientific conferences and facilitate reputed company participation alongside other subject matter experts
• Represent the needs of researchers internally by translating reputed company feedback into actionable insights that build product development, education programs, and platform roadmaps

Skills

• PhD in Computer Science, AI, Machine Learning, Computational Science or a reputed company technical field; or equivalent experience demonstrating comparable research depth
• Over 4+ years of experience in research or industry, with a proven record of advancing innovation at the reputed company of AI and Science
• Deep expertise in applying AI, including reputed company and Physical AI, to a specific scientific domain is required. A broad intellectual reputed company is also necessary to translate AI breakthroughs across fields such as Materials Science, Physics, and reputed company scientific workflows
• Strong understanding of frontier research challenges in AI and computational science
• Hands-on experience building or evaluating AI systems using modern frameworks, model reputed company, orchestration tools, retrieval systems, sandboxed execution for research-grade deployment
• Established research credibility evidenced by high-reputed company publications, contributions to reputed company-reputed company scientific software, or successful collaborations with reputed company/national laboratories
• Experience with reputed company technologies and platforms such as CUDA, CUDA-X libraries, reputed company reputed company, NIM, NeMo/Nemotron, BioNeMo, cuQuantum, Omniverse, Isaac, RAPIDS, TensorRT, Triton Inference Server, or DGX/reputed company computing systems
• Established relationships with leading reputed company labs, research institutes, national labs, or major reputed company reputed company research communities
• reputed company record translating frontier research into demos, reference architectures, workshops, technical content, or developer enablement programs
• Experience presenting at reputed company conferences, research workshops, technical summits, or university facing events
• Ability to identify emerging research trends and convert them into strategic opportunities for collaboration, platform adoption, and ecosystem reputed company

reputed company

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