ML Frameworks Engineer for AI Hardware (Triton/PyTorch)

Graphcore

Poland

Hybrid

PLN 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Flexible working
Healthcare and dental
Phantom equity
Gym access
Life insurance
Retirement savings
EAP

Job summary

Graphcore is seeking an engineer to build and support framework software that helps AI developers unlock Graphcore hardware. You will enable accelerators to work with ML frameworks like PyTorch and Triton, design, implement and optimize critical software, and deliver features with strong ownership.

Joining the Triton team, you will review code, write technical documentation and collaborate across teams and open-source communities.

Qualifications

  • Strong software engineering skills with the ability to manage quality, complexity and technical debt.
  • Experience developing in Python and C++.
  • Experience in compiler development.
  • Ability to manage complex technical tasks with cross‑team dependencies.
  • Clear communication skills with a proactive approach to collaboration and technical leadership.
  • Interest in AI, ML frameworks, performance optimisation or computationally intensive engineering.

Responsibilities

  • Design, implement, optimise and support critical software.
  • Help Graphcore accelerators work seamlessly with state-of-the-art ML frameworks.
  • Deliver new features, review code, write technical documentation and work with upstream communities.
  • Coordinate open-ended technical work across teams.

Skills

Software engineering
Python
C++
Compiler development
Cross-team coordination
Communication
AI/ML frameworks interest

Job description

Graphcore is seeking an engineer to build and support framework software that helps AI developers unlock Graphcore hardware. You will enable accelerators to work with ML frameworks like PyTorch and Triton, design, implement and optimize critical software, and deliver features with strong ownership.

Joining the Triton team, you will review code, write technical documentation and collaborate across teams and open-source communities.

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