System Optimisation Engineer

Our clients’ technologies will revolutionise data centres. Their technologies will speed up training and inference while dramatically reducing energy consumption and supporting a sustainable future.

They are looking for Systems Optimisation Engineer / Data Scientist to develop metaheuristic optimisation algorithms and intelligent test frameworks for optical network systems. This cross-disciplinary role blends software engineering, algorithm development and hardware test integration to reduce test time, improve throughput and enhance performance analysis.

This role exists within their product systems team. They are involved with integrating different hardware platforms and components from different teams, into one final product. At this point the systems must be tested, validated and optimised in readiness for production / NPI.

There are two main elements of this role: System optimisation and automation / enhancement of test processes.

Responsibilities: Systems Optimisation Engineer

• Develop metaheuristic, data-driven optimisation algorithms (e.g., genetic algorithms, simulated annealing, swarm optimisation) to reduce test time and improve measurement efficiency.
  
  
• Design and implement automated test frameworks for high-speed optical network system, integrating hardware instrumentation.
  
  
• Analyse large datasets from validation and production testing to identify performance trends, bottlenecks, and opportunities for improvement.
  
  
• Work with hardware engineers to optimise burst-mode test sequences, equalisation settings (CTLE, FFE, DFE), and link tuning strategies.
  
  
• Implement adaptive, hardware-aware test routines that adjust dynamically based on device behaviour.
  
  
• Support the integration of optimised test flows into high-volume manufacturing environments.
  
  
• Maintain scalable, modular software architectures for future test platforms.
  
  Skills & Experience: Systems Optimisation Engineer
  
  
• Experience with metaheuristic algorithm optimisation (e.g., Genetic Algorithms, simulated annealing, particle swarm).
  
  
• Collaborative mindset to work closely with hardware engineers and manufacturing teams.
  
  
• Familiarity with production test time optimisation in similar environments e.g. semiconductor, optical transceivers, photonics, network and data centre hardware, telecoms systems, storage / servers / HPC, consumer electronics or specialist test and measurement products or computer vision.
  
  
• Proficiency in software development for test automation (Python, C++, or C#).
  
  
• Exposure to cloud-based data pipelines for large-scale test data processing.
  
  
• Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation.
  
  
• Degree or PhD in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, Data Science or related field.
  
  This role is based in Central London close to Whitechapel and offers hybrid working however candidates must be within a commutable distance