graphcore

Software Engineer - ML Kernels & Runtime

🇵🇱 Gdańsk, Pologne Sur site IT Publié Mai 15, 2026
Mode de travail Sur site
Catégorie IT
Catégorie IT Ingénieur Back End
Salaire PLN 196,400 - 265,700 / yearly
Langue English
Publié 15 mai 2026
Dernière vérification 28 mai 2026

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PLN 196,400 - 265,700 / yearly

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Software Engineer - ML Kernels & Runtime at graphcore: Gdańsk, Pologne; Sur site; IT; Ingénieur Back End; PLN 196,400 - 265,700 / yearly. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.

  • Location and workplace: Gdańsk, Pologne, Sur site
  • Role classification: IT, Ingénieur Back End
  • Employer salary shown on the listing: PLN 196,400 - 265,700 / yearly
  • Source freshness: checked by JobGrid on 2026-05-28.

Salary Range: PLN 196,400 - 265,700 

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 Software Engineer, you will be responsible for development of new and support existing kernels for linear 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 

  • Implement kernels for linear algebra and tensor ops (GEMM, batched GEMM, convolutions, reductions, elementwise and fused operations) in C++
  • Contribute towards 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

 

Candidate Profile  
 

Essential 

  • Excellent programming and scripting skills using C++ and Python 
  • You thrive on solving challenging problems with creativity, think outside the box, and see the bigger picture beyond the specific software component you are working on. 
  • Possess excellent written and oral communication skills, good work ethics, high sense of team-work 
  • Love to produce quality work and be a team player 

 

Desirable 

  • Strong understanding of processor architectures 
  • Experience or solid understanding of algorithmic performance - vectorisation, memory hierarchy, threading, lock-free patterns, and profiling on Linux 
  • Knowledge of at least one BLAS/DNN stack and able to read/extend kernels 
  • Awareness about CPU micro-optimisations and numerical stability/trade-offs across FP32/FP16/BF16 

Benefits

In addition to a competitive salary, Graphcore offers annual leave policy, medical and dental health plans, a gym card, and employee pension (matched up to 4%). We review our benefits on a yearly basis to ensure we offer a valuable and rewarding benefits programme to our employees. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.