Vice President, Ai Research

Nscaleoperationsukltd

EMEA
Base + equity; reviews every 12 months; not specif...
On-site
10+ years leading applied research teams
Experience with 5,000+ gpu clusters
Deep expertise in high-performance networking
Nscale is seeking a Vice President of AI Research to lead their internal AI research lab, focusing on developing innovative AI solutions and optimizing infrastructure for their GPU cloud. The ideal candidate will have extensive experience in AI research and engineering, with a strong emphasis on leadership and collaboration across teams

Job Summary

  • The role involves establishing and leading an internal AI research lab to define strategy and architect software stacks for the company's enterprise AI cloud platform.
  • Candidates must have a proven track record of delivering novel machine-learning models and infrastructure at petascale, including saturating large GPU clusters.
  • The company offers a highly competitive package with equity, a dynamic progression plan, and a human-first flexible remote-first work environment.

Matching Summary

Match Score: 85

Nscale is seeking a Vice President of AI Research to lead their internal AI research lab, focusing on developing innovative AI solutions and optimizing infrastructure for their GPU cloud. The ideal candidate will have extensive experience in AI research and engineering, with a strong emphasis on leadership and collaboration across teams.

Salary

Base + equity; Reviews every 12 months; Not specified

Skills & Requirements

Must-have

  • 10+ years leading applied research teams
  • Experience with 5,000+ GPU clusters
  • Deep expertise in high-performance networking
  • Fluency in Python and C/C++
  • Hands-on familiarity with PyTorch and DeepSpeed

Nice-to-have

  • Experience turning research into commercial SaaS products
  • Contributions to standards or open-source frameworks
  • Expertise in sustainability programmes for data-centre operations
  • Security-aware mindset for multi-tenant environments
  • Practical experience developing kernel/runtime collections

Key Requirements

  • 10+ years experience in AI, HPC, or distributed systems
  • Author/co-author of peer-reviewed publications in efficient LLMs
  • Strong people-leadership skills for geographically distributed teams

Work Rights

Not specified

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