R&D Engineer: AI Accelerator Optimization & Inference in Cambridge

R&D Engineer: AI Accelerator Optimization & Inference in Cambridge

Cambridge Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Advance AI accelerator programming and optimise workloads on cutting-edge hardware.
  • Company: KRAI, a leader in AI infrastructure optimisation with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with potential for significant career advancement.
  • Why this job: Join a pioneering team and shape the future of AI technology.
  • Qualifications: Experience in R&D, programming skills, and a passion for AI and hardware.

The predicted salary is between 50000 - 70000 Β£ per year.

KRAI is a cutting-edge AI infrastructure optimization company.

We are looking for R&D engineers to advance AI accelerator programming and map evolving workloads onto evolving hardware, from GPUs to next-generation accelerators.

You will develop and optimize low-level compute kernels, work across architectures, and drive end-to-end inference optimization from models to kernels, collaborating with leading hardware designers and cloud providers.

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R&D Engineer: AI Accelerator Optimization & Inference in Cambridge employer: KRAI

At KRAI, we pride ourselves on being at the forefront of AI infrastructure innovation, offering our R&D engineers a dynamic work environment that fosters creativity and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and partnerships with leading hardware designers, ensuring that you are always working with the latest technologies in a supportive culture that values your contributions. Located in a vibrant tech hub, KRAI provides unique advantages such as access to industry events and networking opportunities, making it an excellent place for those seeking meaningful and rewarding employment.

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Contact Details:

KRAI Recruitment Team

We think you need these skills to ace R&D Engineer: AI Accelerator Optimization & Inference in Cambridge

AI Accelerator Programming
Low-Level Compute Kernels Development
Hardware Architecture Knowledge
End-to-End Inference Optimization
Collaboration with Hardware Designers
Cloud Provider Integration
Workload Mapping