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Developer Relations Manager, Foundational AI (Higher Education and Research)

NVIDIA· Account Mgr, Dev Relations
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Toronto, CanadaCA$170k - CA$275kfull-timePosted 1mo ago

About the role

Developer Relations Manager focused on Foundational AI Research to engage academic labs advancing next-generation AI models, systems, and methods. Drive researcher adoption of NVIDIA AI platforms, translate academic feedback into product insights, and support participation in AI research venues.

Responsibilities

  • Serve as a trusted technical advisor to leading academic AI labs working on foundation models, LLMs, multimodal AI, reasoning, training, inference, and AI systems.

Qualifications

  • PhD in Computer Science, AI, Machine Learning, Applied Mathematics, Electrical Engineering, or related field, or equivalent research depth
  • 8+ years of experience
  • Deep expertise in foundational AI (LLMs, multimodal models, generative AI, reasoning, post-training, model evaluation, AI systems research)
  • Strong understanding of modern AI model development lifecycle (pretraining, fine-tuning, post-training, optimization, evaluation, deployment, model serving)
  • Hands-on experience with AI research stacks (PyTorch, JAX, distributed training frameworks, inference systems, model serving platforms, evaluation pipelines, GPU-accelerated workflows)
  • Technical fluency in scalable AI systems (distributed training, parallelism strategies, checkpointing, memory optimization, batching, scheduling, latency, throughput, cost-performance)
  • Familiarity with efficiency-improving methods (quantization, distillation, sparsity, speculative decoding, attention optimization, synthetic data, RLHF/RLAIF, preference optimization)
  • Ability to engage top academic labs on frontier research challenges (scaling, compute efficiency, model quality, benchmarks, reproducibility, impact)
  • Demonstrated research credibility (publications, open-source, collaborations, technical leadership, frontier AI system work)

Skills

Required:PhD or equivalent research depthDeep expertise in foundational AILifecycle AI model developmentAI research stacksScalable AI systemsAcademic engagement and communicationResearch credibility
Nice to have:Efficiency methods

Benefits

  • equity
  • benefits (see NVIDIA Benefits)
Last updated Aug 28, 2026. Interested? Apply on the company site.

About NVIDIA

World Leader in AI Computing

NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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