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Graphcorevia Greenhouse

Staff Software Engineer - ML Kernels & Runtime

Gdańsk, Pomeranian Voivodeship, PolandPosted 5d ago
ML EngineerStaff+Full-time#ai-lab

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About the Role

Salary Range: PLN 350,000 - 474,000 PLN

Subject to alignment to the responsibilities and duties of the role

 

About Graphcore 

At Graphcore, we’re building the future of AI compute.

We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.

As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.

To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.

We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

 

Job Summary  

As a Staff Software Engineer, you will be responsible for development of new and support existing kernels for liner algebra operations on a new generation of AI hardware. 

 

The Team 

This is an exciting opportunity to join an expanding team at Graphcore. Kernel Engineering team is responsible for delivering high performance compute library to help customers gain the maximum performance from AI hardware. 

 

Responsibilities and Duties 

  • Design and implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++ 
  • Own performance and correctness - add microbenchmarks, regression tests, numerics validation 
  • Profile and optimise across for next generation of AI hardware - threading, cache locality, memory layout, and kernel launch efficiency. 
  • Debug issues, resolve bugs and generally improve the quality and functionality of the product 
  • Actively engage in and support Agile ways of working within the team 
  • Mentor colleagues within the team, sharing knowledge and providing guidance where appropriate 

 

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