Chief AI Compute Architect in Cambridge

Chief AI Compute Architect in Cambridge

Cambridge Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
IC Resources

At a Glance

  • Tasks: Lead the design of next-gen AI compute infrastructure and optimise AI inference performance.
  • Company: IC Resources, a leader in AI technology and innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborate with industry leaders and contribute to groundbreaking AI projects.
  • Why this job: Shape the future of AI with cutting-edge technology and lead a talented team.
  • Qualifications: Expertise in GPU architectures and experience in leading engineering teams.

The predicted salary is between 80000 - 98000 Β£ per year.

IC Resources is seeking a Principal AI Architect in the UK to lead a flagship initiative on next-generation AI compute infrastructure.

You will shape the architectural roadmap for advanced modelling environments and analyse full-stack AI inference performance.

The role demands leadership of senior engineers, deep expertise in GPU architectures and large-scale simulations, and collaboration with industry and research partners.

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Chief AI Compute Architect in Cambridge employer: IC Resources

IC Resources is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cirencester. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that make a real impact in rugged hardware design. Join us to be part of a supportive team that values your expertise and encourages you to thrive in a challenging yet rewarding environment.

IC Resources

Contact Details:

IC Resources Recruitment Team

We think you need these skills to ace Chief AI Compute Architect in Cambridge

AI Compute Infrastructure
Architectural Roadmap Development
Full-Stack AI Inference Performance Analysis
Leadership Skills
GPU Architectures Expertise
Large-Scale Simulations
Collaboration with Industry Partners