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Software Engineer

Platform Recruitment
Posted 2 days ago, valid for 4 days
Location

London, Greater London EC2V7NQ, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The company is seeking a Software Engineer for their AI Kernel team, which is part of the AI R&D division of a major chip subsidiary.
  • This remote position offers a salary of up to £100,000 and requires a minimum of 3 years of experience in GPU development.
  • The role involves designing and implementing AI Kernels for deep learning operations and optimizing hardware accelerators in collaboration with researchers.
  • Candidates should have experience with GPU/AI Kernels, engineering for AI/ML workloads, and knowledge of frameworks like PyTorch and TensorFlow.
  • The position is ideal for individuals interested in contributing to open-source projects and working on cutting-edge AI acceleration technologies.

Title: Software Engineer

Company: AI/ML R&D

Location: United Kingdom (Remote, unless visa sponsored)

Pay: Up to £100,000

Company:

The AI R&D arm of a major chip subsidiary are looking for a Software Engineer to join the AI Kernel team. Comprised of a team of elite global technical experts in Compiler, AI and GPU research, you will work on some of most cutting edge developments in the AI acceleration world - some of which are so advanced they still years from being made public. Contributing significantly to the open-source community, you will make an impact on the wider tech world.

Role:

This position is best described as an AI Kernel / GPU Kernel Engineer position. You will make a significant impact on the business by owning the design and implementation of novel AI Kernels for deep learning operations. You will optimise hardware accelerators in collaboration with deep learning researchers, translating their high-level models into low-level, high-performance code.

About you:

  • 3+ years' experience in GPU development
  • Experience developing GPU/AI Kernels
  • Experience engineering for AI/ML workloads
  • Experience with any of: CUDA, OpenCL, HIP, SYCL
  • Knowledge of deep learning algorithms
  • Interested in optimising tough linear algebra equations
  • Knowledge of AI framework internals (PyTorch, TensorFlow, ONNX etc)

Full details are available. Please don't hesitate to get in touch with max @platform-recruitment. com to learn more.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.