Senior Software Engineer

AI in this role

pytorch

Salary Range: PLN 260,000-352,000

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

We are looking for a senior engineer to design and evolve an application-level simulator for ML workloads that directly influences hardware and software architecture decisions.

This role sits at the intersection of machine learning, systems, and hardware design. You will model real-world workloads, predict system behaviour, and provide insights that guide how our platform evolves.

Success in this role requires not only strong technical depth, but also the ability to work closely with multiple teams to ensure the simulator reflects reality and drives meaningful decisions.

The Team

The Tenjin team focuses on building advanced simulation capabilities to model and predict the behaviour of large-scale ML workloads on next-generation hardware and software platforms.

We operate at the intersection of machine learning, systems, and architecture, developing tools that enable data-driven decisions long before systems are fully built or deployed. Our work helps shape both hardware and software direction by providing early insights into performance, scalability, and efficiency.

The team brings together engineers with backgrounds in simulation, ML systems, and computer architecture. We collaborate closely with ML engineers, performance teams, and silicon architects, but operate as an independent group focused on simulation as a core capability.

Responsibilities and Duties

Design and evolve an ML application-level simulator that models workload execution, system behaviour, and resource usage
Translate real-world workloads and benchmarking data into accurate simulation models
Validate simulator outputs against real system measurements and continuously improve fidelity
Build scalable, maintainable components that support evolving hardware and software capabilities
Work closely with performance engineers, ML teams, and silicon architects to ensure the simulator reflects real use cases
Drive adoption of the simulator as a decision-making tool across the organisation

Candidate Profile

Essential:

Strong C++ development experience, especially in performance-sensitive or large-scale systems
Strong Python skills and familiarity with ML frameworks (e.g. PyTorch) and execution graphs
Solid understanding of computer architecture, memory hierarchy, and heterogeneous systems
Familiarity with ML accelerator concepts (e.g. tensor cores, compute tiles, high-bandwidth memory)

Desirable

Understanding of modern ML architectures (e.g. transformers, MoE) in training and inference
Experience with simulators or performance models (hardware or distributed systems)
Knowledge of parallelism models and their mapping to hardware
Experience with profiling and debugging complex, multi-layer systems

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.

How we rate this

Senior Software Engineer at Graphcore rates 93 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

PyTorch

Questions you could be asked

What's a project where you used PyTorch hands-on?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: PyTorch. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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