Senior Software Engineer job opportunity at Graphcore.

Home Jobs In Poland Tag: Engineering - Software Senior Software Engineer position at Graphcore


bot
Graphcore Senior Software Engineer
Experience: General
Pattern: full-time
Country:
apply Apply Now
Salary:
Status:

Engineering - Software

Copy Link Report
degreeOND
loacation Gdańsk, Pomeranian Voivodeship,, Poland
loacation Gdańsk, Pomera..........Poland

Salary Range: PLN 303,800 - 411,000 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  As a Senior Software Engineer in the ML Software Performance Analysis team, you will play a critical role in ensuring end-to-end performance excellence of our proprietary AI hardware and software stack. You will directly report to the Performance Analysis Team Lead and collaborate closely with component teams, including ML Framework developers, Compiler and Runtime teams, Infrastructure engineers, and Product Management. Your work will directly influence the efficiency and scalability of our ML software solutions, significantly impacting our business by enabling reliable and performant AI solutions for customers. The Team  The ML Software Performance Analysis team is a part of the wider ML Software Engineering organisation, responsible for delivering optimised, proprietary machine learning solutions. Our team consists of experienced engineers and domain experts focused on rigorous performance benchmarking, in-depth analysis, and cross-layer optimization from single chip to large-scale, distributed systems. We work closely with both internal partners and external collaborators to ensure our solutions meet the highest standards of performance, efficiency, and scalability. Our core responsibilities include: ML Software Stack Performance Reports – We publish regular reports that provide a comprehensive view of the performance status of the ML software stack End-to-End Performance Optimization – We take a holistic approach to performance, ensuring that local optimizations do not lead to global regressions. Our work spans component boundaries, enabling balanced and efficient performance across the entire stack Responsibilities and Duties Conduct in-depth analysis of performance metrics to identify bottlenecks, inefficiencies, and regression trends across the ML stack Collaborate with cross-functional teams to drive end-to-end performance improvements across software components Prepare and deliver performance reports, summarizing key findings, trends, and recommendations Design, implement, and maintain performance benchmarking tools and infrastructure for large-scale ML software systems Investigate and resolve performance-related issues, including CPU utilization, memory usage, and network overhead Ensure that local optimizations do not negatively impact overall system performance, applying a global performance perspective Provide actionable feedback and guidance to engineering teams to support continuous performance optimization Candidate Profile  Essential: A passion for your work and the ability to thrive in uncertain and complex environments Strong programming skills in Python/C/C++, with a focus on performance-sensitive applications Solid understanding of computer architecture, performance profiling, and low-level system behaviour (CPU, memory, I/O) Experience with benchmarking and analysing complex, distributed systems Familiarity with Linux-based development environments and tools Strong problem-solving skills and ability to interpret and communicate performance data clearly Desirable Knowledge of ML frameworks (ideally PyTorch) and their performance characteristics Experience with performance analysis in GPU-accelerated environments (CUDA, ROCm, etc.) Familiarity of hardware performance characteristics especially in ML context including high-speed networking (e.g. RoCE, RDMA) Familiarity with distributed computing frameworks (ideally collectives experience) Experience building dashboards or visualizations for performance monitoring (e.g., Grafana, Prometheus, or custom tooling) Exposure to performance regression tracking and CI pipelines for performance validation 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.

Other Ai Matches

Principal Post-Silicon Lab Characterization Engineer Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Intern, Program & Planning Operations Applicants are expected to have a solid experience in handling Systems Engineering related tasks
Senior Manufacturing & NPI Buyer Applicants are expected to have a solid experience in handling Supply Chain related tasks
Staff BMC Engineer Applicants are expected to have a solid experience in handling Engineering - Software related tasks
DFT Engineer Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Principal Post Silicon Validation Engineer (Bringup) Applicants are expected to have a solid experience in handling Engineering - Architecture related tasks
Senior Staff Engineer Applicants are expected to have a solid experience in handling Infrastructure/QA related tasks
Cloud Development Manager Applicants are expected to have a solid experience in handling Engineering - Platform related tasks
2026 Graduate Software Engineer - PyTorch Applicants are expected to have a solid experience in handling Graduates related tasks
Linux Engineer Applicants are expected to have a solid experience in handling Infrastructure Solution related tasks
Staff Embedded SW/FW Engineer (Bringup) Applicants are expected to have a solid experience in handling Engineering - Architecture related tasks
Director / Senior Principal AI SoC Validation (Bring-up lead) Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Intern, Knowledge Management & Training Projects Applicants are expected to have a solid experience in handling Systems Engineering related tasks
Vulnerability Manager Applicants are expected to have a solid experience in handling Infrastructure Solution related tasks
2026 Graduate Machine Learning Engineer - Applied AI Applicants are expected to have a solid experience in handling Graduates related tasks
Signal Integrity Engineer Applicants are expected to have a solid experience in handling Engineering - Hardware related tasks
Senior Machine Learning Engineer (Large Systems) Applicants are expected to have a solid experience in handling Engineering - Applied AI related tasks
Software Engineer - Triton Applicants are expected to have a solid experience in handling Engineering - Software related tasks
Software Engineer – ML Kernels & Runtime Applicants are expected to have a solid experience in handling Engineering - Software related tasks
Staff Silicon Physical Design Engineer - Bengaluru Applicants are expected to have a solid experience in handling Engineering - Silicon related tasks
Senior Machine Learning Engineer (Large Systems) Applicants are expected to have a solid experience in handling Engineering - Applied AI related tasks
Software Engineer Applicants are expected to have a solid experience in handling Engineering - Software related tasks
Research Scientist (Embodied AI & World Models) Applicants are expected to have a solid experience in handling Research related tasks