Systems Research Engineer

Systems Infrastructure Research Engineer – AI & Distributed Systems

A global telecommunications and technology leader is hiring contract System Research Engineers to join an advanced Research & Development lab in Edinburgh.

Positioned at the intersection of advanced research and practical engineering, this team translates cutting-edge innovations into real-world data centre solutions. These contract roles are ideal for recent PhD graduates seeking industrial research experience, or exceptional BSc/MSc graduates looking to deepen their research capabilities in an industry setting.

Key Responsibilities

• Rapid Prototyping: Collaborate with a multidisciplinary team to rapidly build and evaluate proof-of-concept prototypes, validating research ideas in real-world environments.
• Performance Optimization: Perform detailed profiling and optimization of operating systems and large-scale distributed systems across heterogeneous hardware platforms (e.g., CPU, NPU).
• Research Publications: Turn research findings and innovative contributions into high-impact publications for top-tier academic journals and conferences.
• Technical Documentation: Maintain comprehensive technical documentation detailing research methods, design decisions, and implementation specifics to ensure reproducibility and internal knowledge sharing.
• Stakeholder Engagement: Present research progress, performance insights, and technical outcomes to internal stakeholders.

Requirements

• Education: Bachelor's or Master's degree in Computer Science or a related technical discipline.
• Research Skills: Comfortable with research methodologies and experimental design.
• Technical Expertise: In-depth understanding of operating systems, distributed systems, cloud computing, or machine learning systems.
• Programming: Strong coding proficiency in at least one key language (such as C or C++).
• Soft Skills: Excellent communication and collaborative teamwork abilities.

Desirable Criteria

• PhD in operating systems, distributed systems, or machine learning systems.
• Track record of publications in top systems (e.g., NSDI, EuroSys, SoCC, OSDI) or machine learning (e.g., NeurIPS, ICML, ICLR) conferences and journals.
• Hands-on experience in the full lifecycle of developing, deploying, and maintaining large-scale cloud production systems, focusing on scalability, reliability, and performance.

Interested? Apply directly through LinkedIn, or send your CV to george@eu-recruit.com

By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice https://eu-recruit.com/wp-content/uploads/2024/07/European-Tech-Recruit-Privacy-Notice-2024.pdf