Overview
News
Technologies
Salaries
Products
People
Growth
Jobs
Financials
Overview
Graphcore is a British semiconductor company founded in Bristol in 2016 that designs the Intelligence Processing Unit, a processor architected specifically for machine learning rather than adapted from graphics. Its chips place large amounts of memory directly on the die and expose fine-grained parallelism, an approach aimed at sparse and irregular models that map poorly onto conventional accelerators. The company sells IPU systems and the Poplar software stack to research and enterprise customers, and has operated as a wholly owned subsidiary of SoftBank Group since its acquisition in 2024.
Technologies
Tech DNA
Python
C++
Bash
PyTorch
TensorFlow
Pytest
ElasticSearch
OpenSearch
ClickHouse
AWS
Together AI
Azure
BERT
VLM
Claude
Security
Bash
Perl
Go
JavaScript
PowerShell
FedRAMP
ISO 27001
PCI DSS
SOC 2
Zero Trust
CAPA
GDPR
Least Privilege
AI/ML
Python
C++
SQL
MATLAB
Cython
CI/CD
HPC
PyTorch
Kubernetes
GitHub
PyTorch C++
Prometheus
Terraform
GitHub Actions
Docker
OpenTofu
Git
CMake
Grafana
JAX
AWS
GitLab
QEMU
Ansible
Together AI
Podman
TensorFlow
CUDA Toolkit
OpenStack
InfiniBand
OpenTelemetry
TensorFlow C++
RTOS
SLURM
Mimir
KVM
Loki
GitLab CI
Reinforcement Learning
BERT
Triton
NVLink
ElasticSearch
OpenSearch
Fluentd
Ubuntu
LLVM
Ray
SkyPilot
Keras
NCCL
Jenkins
Platform Engineering
Puppet
Manylinux
Time Series Forecasting
SRE
Configuration Management
Debian
Red Hat
Azure
Simulink
Computer Vision
VLM
Synthetic Data
dbt
Anomaly Detection
NumPy
Pandas
SciPy
Claude
ROCm
OpenAI Codex
Mixture of Experts
ClickHouse
InfluxDB
Windows Server
containerd
HAProxy
Nginx
Zabbix
Incident Management
GitOps
Cortex
ArgoCD
GCP
KubeVirt
Hyper-V
VMWare
Azure DevOps
Buildkite
Helm
IAM
Multimodal AI
DeepSpeed
LLM
Flink
Spark
Kubeflow
OpenCL
Edge AI
Amazon Redshift
PostgreSQL
Backend
Java
C#
Apache Kafka
Rest API
gRPC
Hardware
C
SystemVerilog
Embedded C
Verilog
VHDL
Rust
MPI
UVM
Ansys SIwave
HyperLynx
GCC
Ansys HFSS
Cadence Sigrity
Keysight ADS
Synopsys VCS
Synopsys Verdi
Formal Verification
Altium Designer
Cadence Allegro
Mentor Xpedition
Zephyr OS
Robotics
Digital Twin
ROS
Isaac Sim
Path Planning
Reinforcement Learning
Sensor Fusion
NVIDIA Omniverse
Other
Pytest
Confluence
Blender
AutoCAD
NVIDIA PhysX
Unity
Unreal Engine
Power BI
Robot Framework
Jira
Slack
Tableau
Plotly
Smartsheet
Stack modernity
77/100
How modern this stack is, based on technology relevance, AI adoption and the share of legacy tools.
In-demand technologies
Python
126 jobs
Required
$135k
-25% vs market
C++
80 jobs
Required
CI/CD
45 jobs
Required
$135k
-16% vs market
HPC
39 jobs
Required
PyTorch
30 jobs
Required
Kubernetes
29 jobs
Required
PyTorch C++
25 jobs
Required
GitHub
25 jobs
Required
Salary medians are calculated from this company's open jobs and compared with the market.
Industry adoption
Python
19%
JavaScript
15%
CI/CD
15%
AWS
15%
SQL
13%
Kubernetes
13%
Share of companies in the same industry that use each technology.
Stack changes
Mixture of Experts
Aug 2026
OpenAI Codex
Aug 2026
IAM
Aug 2026
ROCm
Aug 2026
GitLab
Aug 2026
Time Series Forecasting
Aug 2026
NCCL
Aug 2026
Edge AI
Aug 2026
Technologies recently added to or removed from this company's stack - a signal of tech migrations and new initiatives.
Salary insights
Compensation ranges based on this company's open jobs
Median
$135k
Typical range
$135k
Open positions
3
3
Jobs
Senior
100%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Senior | 3 | $135k | $135k |
Highest paying role
Senior Linux Distribution & Validation Engineer
$135k
Normalized to USD per year
Products
Poplar SDK
Poplar is Graphcore's software stack with compilers, libraries and framework integrations for PyTorch and TensorFlow. It maps model graphs onto the IPU's distributed memory and compute.
graphcore.ai
IPU-POD
IPU-POD systems combine many IPUs with host servers and high-speed fabric into rack-scale training clusters. They let customers scale from a single machine to large installations with the same software.
graphcore.ai
Bow IPU
The Bow IPU was the first processor to ship with wafer-on-wafer three-dimensional stacking. The added power delivery die raises clock speed and performance over the previous generation.
graphcore.ai
Intelligence Processing Unit
The IPU is Graphcore's processor designed from scratch for machine learning, with over a thousand independent cores and large on-chip memory. Its architecture targets models with irregular or sparse computation patterns.
graphcore.ai
People

Simon Knowles
Co-Founder & Chief Technology Officer
Simon Knowles co-founded Graphcore and designed the IPU architecture. He previously co-founded Element 14 and Icera and has decades of experience in processor design.

Nigel Toon
Co-Founder & Chief Executive Officer
Nigel Toon co-founded Graphcore in 2016 and leads it as chief executive. He previously founded and sold two other semiconductor companies, Picochip and Element 14.
Growth
Hiring Momentum
55/100
Growing
Open positions
164
6 opened / 9 closed in 30 days
Median time-to-fill
70 days
faster than 23% of the market
ATS activity
Every ~10 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
DevOps
25% ▲
Hardware
20% ▲
Backend
18% ▼
QA
14%
AI/ML
11% ▼
Executive
2% ▲
Actively hiring for DevOps (+7 in 30 days)
Activity Timeline
Added Triton to stack
Aug 2026
Added OpenCL to stack
Aug 2026
+5 jobs in a week
Aug 2026
Added Keras to stack
Jul 2026
Added Simulink to stack
Jul 2026
Added AutoCAD to stack
Jul 2026
Added Helm to stack
Jul 2026
Added Buildkite to stack
Jul 2026
Added Azure DevOps to stack
Jul 2026
Jobs
≈ $91k – $153k per year (Estimated) • In office • Gdańsk
C++
Python
LLVM
PyTorch C++
AI/ML
PyTorch
Triton
Apply
≈ $119k – $260k per year (Estimated) • In office • 5+ years exp • Bachelor's Degree • Austin
Apply
≈ $31k – $64k per year (Estimated) • In office • Bengaluru
Confluence
Apply
≈ $80k – $155k per year (Estimated) • In office • Internship • Bachelor's Degree • Austin
Altium Designer
Apply
≈ $88k – $183k per year (Estimated) • In office • London
C++
Python
CMake
DevOps
Docker
Podman
HPC
QA
Pytest
Apply
≈ $88k – $183k per year (Estimated) • In office • Cambridge
C++
Python
CMake
DevOps
Docker
Podman
HPC
QA
Pytest
Apply
≈ $88k – $183k per year (Estimated) • In office • Bristol
C++
Python
CMake
DevOps
Docker
Podman
HPC
QA
Pytest
Apply
≈ $56k – $151k per year (Estimated) • In office • Contractor • Bristol
Together AI
Apply
≈ $167k – $313k per year (Estimated) • In office • Austin
C++
Python
Apply
≈ $46k – $99k per year (Estimated) • In office • Bengaluru
C++
Python
Apply
≈ $26k – $68k per year (Estimated) • In office • Bengaluru
C++
Python
Apply
≈ $30k – $80k per year (Estimated) • In office • Bengaluru
C++
Python
Apply
Show more jobs
Financials
Total raised
$1.1B
Latest round
Acquired
Funding rounds
5
Investors
5
Funding rounds
| Round | Announced | Amount | Valuation |
|---|---|---|---|
| Acquired | 2024 | $600M | — |
| Series D | 2020 | $222M | $2.8B |
| Series C | 2018 | $200M | $1.7B |
| Series B | 2017 | $50M | — |
| Series A | 2016 | $30M | — |
Key Investors
Dell Technologies Capital
Dell Technologies Capital backed Graphcore and helped bring IPU systems to market as rack servers. The firm invests in infrastructure and semiconductor startups.
delltechnologies.com
Microsoft
Microsoft invested in Graphcore and trialled IPU systems in Azure. It was one of the first large cloud providers to evaluate the architecture.
microsoft.com
Atomico
Atomico co-led Graphcore's first institutional round. The London firm invests in European technology companies from Series A onward.
atomico.com
Sequoia Capital
Sequoia Capital led Graphcore's Series C round in 2018. The firm has funded semiconductor companies across several technology cycles.
sequoiacap.com
SoftBank Group
SoftBank Group acquired Graphcore outright in 2024 and now owns the company. The purchase fits its broader strategy of assembling AI semiconductor assets alongside Arm.
softbank.jp

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