---
title: 'Senior Software Engineer at Graphcore'
canonical: 'https://feeny.ai/job/senior-software-engineer-graphcore-gdansk-pomeranian-voivodeship-n05z89thcft0'
type: 'job'
last_seen: '2026-09-08'
---

# Senior Software Engineer at Graphcore

- **Company:** Graphcore
- **Location:** Gdańsk Pomeranian Voivodeship, Poland
- **Posted:** 2026-06-24
- **Last confirmed live:** 2026-09-08
- **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8562012002

## Job description

Salary Range: PLN 260,000 - 352,000 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 Senior Software Engineer in the Collectives Simulator team, you will drive the design and development of a large-scale collective communication simulator that enables the analysis of network parameters and the efficient implementation of communication algorithms. The ideal candidate will have experience in designing, developing, and maintaining complex software systems involving custom hardware. You will be responsible for leading development efforts, mentoring junior engineers, and driving technical excellence in our projects.

The Team

The Collectives team is responsible for building the Collectives Communication library for new AI hardware Graphcore is working on. The library provides communication primitives optimized to achieve high bandwidth and low latency at very high scale.

## Responsibilities and Duties

- Designing, implementing, testing and documenting Collectives Simulator for new AI hardware
- Collaborating with other teams to design, implement and test new features
- Troubleshooting and resolving complex technical issues
- Ensuring seamless integration of new hardware with existing AI ecosystem
- Participating in agile development – working as part of a scrum team

Candidate Profile

Essential:

- Extensive experience in software development using C++ programming language
- Experience with Python and C programming
- Excellent problem-solving skills and ability to debug and resolve complex issues
- Strong knowledge of multithreading and inter-process communication (IPC) techniques for development of efficient concurrent applications
- Experience with unit testing frameworks such as Boost.Test and Google Test
- Proficiency with build tools such as CMake, Make and Ninja
- Strong understanding of version control systems (preferred Git)
- Ability to work within a multinational team and with multinational customers
- Excellent written and verbal communication skills

Desirable

- Experience in development of SW simulators
- Experience with RDMA networking libraries (for example libibverbs, libfabric)
- Knowledge of multithreading and parallel computing concepts, including experience with parallel algorithms and optimization for AI/ML and HPC systems
- Experience with Continuous Integration/Continuous Delivery (CI/CD) pipelines, including setting up automated workflows and deployments (for example GitHub Actions, GitLab CI)
- Experience with communication libraries (for example NCCL, MPI)
- Knowledge of machine learning frameworks (for example PyTorch)
- Knowledge of modern C++ standards 17/20

## 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.

## About Graphcore

## Company Overview
- **One-liner**: Graphcore designs and builds the Intelligence Processing Unit (IPU), a processor purpose-built for machine intelligence, and provides a complete AI compute stack from silicon to software.
- **Entity Type**: Private (wholly owned subsidiary of SoftBank Group Corp as of 2025/2026)
- **Headquarters**: Bristol, England, UK
- **Founded**: 2016
- **Founders**: Nigel Toon and Simon Knowles

## Core Business
- **Primary industry**: AI hardware/accelerators, semiconductor design, AI software platform
- **Target customers**: Cloud providers (Microsoft Azure), enterprises, AI researchers, hyperscalers
- **Mission statement**: “Let innovators create the next breakthroughs in machine intelligence to enhance human potential”

## Products & Services
- **[IPU (Intelligence Processing Unit)](https://www.graphcore.ai/)**: A processor designed from the ground up for machine intelligence workloads; uses a massively parallel architecture (MIMD) with fine-grained compute and on-chip memory.
- **[IPU-Machine M2000](https://www.graphcore.ai/about)**: Second-generation IPU platform – a 1U server appliance housing 4 MK2 GC200 IPU processors, delivering an 8× performance uplift over the first generation.
- **[C2 IPU Accelerator PCIe Card](https://www.graphcore.ai/about)**: PCIe form factor accelerator for server integration, first demonstrated at ICML 2018.
- **[Poplar Software Stack](https://www.graphcore.ai/)**: Full SDK and framework integration (PyTorch, TensorFlow) that lets developers target the IPU directly.

## Market Standing
- **Valuation/Market Cap**: Acquired by SoftBank Group Corp (amount undisclosed); prior to acquisition valued at $2.77 B (Series E, lead by Ontario Teachers’ Pension Plan Board).
- **Key Metric**: Total funding raised prior to acquisition – over $680 M across Series A through E.
- **Notable Investors/Partners**: SoftBank (owner), Microsoft (customer and investor), BMW, Samsung, Dell Technologies, Bosch, Sequoia Capital, Atomico, Fidelity, Baillie Gifford, Ontario Teachers’.
- **Growth Signals**: Part of the fast-growing SoftBank AI ecosystem; expanding teams globally (Bristol, London, Cambridge, Gdańsk, Hsinchu, Bengaluru); first customer (Microsoft Azure) live since 2018.

## Competitive Advantages
- **First purpose-built AI processor**: The IPU architecture is fundamentally different from GPUs – designed specifically for the sparse, parallel nature of neural network computation.
- **Full stack ownership**: Graphcore controls silicon, system hardware, and software (Poplar), enabling tight optimisation across the entire compute chain.
- **Cloud + on‑prem availability**: IPUs are available in the cloud on Microsoft Azure and as hardware from Dell, giving customers flexible deployment options.
- **Strong IP and ecosystem**: 99+ engineering staff; deep expertise in semiconductor, systems, and AI software, backed by long-term SoftBank investment.

## Strategic Focus
- **Scale AI infrastructure**: Delivering key technology into SoftBank’s global AI ecosystem and expanding the IPU platform to meet growing demand for AI compute.
- **Expand into new regions**: Opening offices and hiring in India (Bengaluru) and across Europe (Gdańsk, London, Cambridge) to accelerate R&D and customer support.
- **Democratise AI**: Continuing to lower the barrier for machine intelligence by providing accessible, high-efficiency hardware and software for innovators worldwide.

## Why Work Here
- **Flexible hybrid work**: Employees are expected on-site three days a week, with trust and flexibility to balance work and life.
- **Comprehensive benefits**: Unlimited annual leave, private medical insurance (UK), dental & health cash plan, income protection, life assurance, pension matched up to 5%, generous parental leave, and a personal development plan.
- **Culture and growth**: ML reading groups, board game socials, book clubs, yoga, running, watersports, team events; strong DE+I initiatives; ambitious but supportive environment.
- **Perks**: Free barista‑made coffee, snacks, and wellbeing rooms; cycle‑to‑work scheme; gym membership discount; education/training allowances.
- **Purpose-driven work**: Opportunity to shape the future of AI compute and see your contributions used by global innovators.

## Sources
1. [graphcore.ai/about](https://www.graphcore.ai/about)
2. [graphcore.ai/](https://www.graphcore.ai/)
3. [graphcore.ai/careers](https://www.graphcore.ai/careers)
4. [graphcore.ai/jobs](https://www.graphcore.ai/jobs)
5. [builtin.com/company/graphcore](https://builtin.com/company/graphcore)

## Other roles at Graphcore

- [Technical Programme Manager](https://feeny.ai/job/technical-programme-manager-graphcore-bristol-tnv81pjcg71q) — Bristol, United Kingdom
- [Technology Owner](https://feeny.ai/job/technology-owner-graphcore-bristol-d8detpv2a2gt) — Bristol, United Kingdom
- [Staff Silicon Physical Design Engineer - Bengaluru](https://feeny.ai/job/staff-silicon-physical-design-engineer-bengaluru-graphcore-bengaluru-5zwkhyr3ps27) — Bengaluru, India
- [Staff Robotics Engineer](https://feeny.ai/job/staff-robotics-engineer-graphcore-austin-texas-48zjd6k5bqkd) — Austin Texas, United States
- [Staff Engineering Program Support](https://feeny.ai/job/staff-engineering-program-support-graphcore-milpitas-california-hrx7htcx8rkq) — Milpitas California, United States
- [Senior Engineering Program Coordinator](https://feeny.ai/job/senior-engineering-program-coordinator-graphcore-milpitas-california-k5rv0zfbxp3p) — Milpitas California, United States
- [Staff Engineering Operations Technical Program Manager](https://feeny.ai/job/staff-engineering-operations-technical-program-manager-graphcore-austin-texas-ffy430feqmnr) — Austin Texas, United States
- [Principal Network Program Manager, AI Infrastructure](https://feeny.ai/job/principal-network-program-manager-ai-infrastructure-graphcore-milpitas-ta509snr3rw9) — Milpitas California, United States
- [Principal Engineering Program Manager](https://feeny.ai/job/principal-engineering-program-manager-graphcore-austin-texas-m5g623168tsj) — Austin Texas, United States
- [Staff Hardware Engineer](https://feeny.ai/job/staff-hardware-engineer-graphcore-austin-texas-tf5ew0k0z9g8) — Austin Texas, United States