Principal Power & Performance Validation Engineer

Навыки

• C++
• Анализ данных
• Отладка и поиск ошибок
• HR-процессы
• Лидерство
• Linux
• Python

О компании и продукте

• Graphcore is one of the world’s leading innovators in Artificial Intelligence compute.
• It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry.
• As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.
• Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation.

Требования

• Essential
• Strong experience in power and performance validation, silicon characterization or system performance engineering
• Experience leading or managing engineering teams within a technical environment
• Deep understanding of modern SoC architecture, including CPU, memory, interconnect and high-speed I/O technologies
• Strong Linux systems knowledge and low-level performance analysis experience
• Strong Python programming skills for automation, orchestration and data analysis
• Experience with benchmarking and profiling tools such as stress-ng, fio, perf, iperf or equivalent technologies
• Experience debugging complex hardware and software interactions
• Ability to define structured validation methodologies, workload models and test strategies
• Strong analytical skills with the ability to interpret large datasets and identify system bottlenecks
• Strong communication, stakeholder management and cross-functional collaboration skills
• Ability to lead complex technical initiatives across geographically distributed teams

Будет плюсом

• Experience with AI accelerator, GPU or high-performance compute architectures
• Experience with pre-silicon modelling or simulation environments
• Knowledge of power management technologies and silicon characterization methodologies
• Programming experience in C/C++ for low-level system or benchmark development
• Familiarity with hardware instrumentation and telemetry systems
• Experience working with high core-count or large-scale compute systems
• Experience scaling or building technical engineering teams

Паспорт вакансии

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