Senior Systems Engineer – Performance & Reliability (Analysis)
The Senior Systems Engineer – Performance & Reliability (Analysis) at Graphcore is a critical role focused on driving the performance and reliability of cutting-edge AI hardware and software systems. Joining a high-caliber engineering team, you will work in an innovative deep-tech company renowned for developing pioneering intelligence processing units (IPUs) for AI and machine learning workloads.
In this position, you will be responsible for analyzing and improving the performance, efficiency, and reliability of Graphcore’s IPU-based systems. Your work will involve deep investigation of system-level bottlenecks, conducting root cause analyses, and developing tools or methodologies to monitor, evaluate, and present performance data to internal stakeholders. You will collaborate closely with software, hardware, and architecture teams to ensure optimal product delivery.
The ideal candidate will have a strong background in systems engineering, with experience in performance analysis of complex compute or AI/ML environments. Proficiency with Python or C++, familiarity with performance profiling tools, and proven troubleshooting and problem-solving skills are essential. A degree in Computer Science, Engineering, or a related field, along with several years of experience in high-performance systems design or analysis, will be expected.
In addition to a competitive salary, Graphcore provides a comprehensive benefits package, including private health insurance, flexible working arrangements, and opportunities for professional development. The company invests in a collaborative and inclusive culture and supports the continuous learning and growth of its team members.
Graphcore offers a dynamic and intellectually stimulating work environment, where engineers are empowered to solve some of the toughest challenges in AI hardware. The company encourages innovation and values contributions that shape future computing architectures. This is an exciting opportunity for engineers passionate about high-performance AI systems to make a significant impact in a globally recognized technology leader.