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- Tasks: Develop innovative algorithms to optimise systems and enhance testing processes.
- Company: Revolutionary tech firm transforming data centres for a sustainable future.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in tech innovation.
- Qualifications: Degree in relevant field and experience with optimisation algorithms.
- Other info: Dynamic role with excellent career advancement in a collaborative environment.
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.
Read on to find out what you will need to succeed in this position, including skills, qualifications, and experience.
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
System Optimisation Engineer employer: Marcus Webb Associates Limited
Contact Detail:
Marcus Webb Associates Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land System Optimisation Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your optimisation algorithms and test frameworks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining your past projects and how they relate to system optimisation and automation – this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and make sure your application stands out with a personal touch.
We think you need these skills to ace System Optimisation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Systems Optimisation Engineer role. Highlight your experience with metaheuristic algorithms and any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Skills: In your application, don’t just list your skills—show us how you’ve used them! Whether it’s developing automated test frameworks or analysing large datasets, give us examples that demonstrate your expertise.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use straightforward language and avoid jargon unless it’s relevant to the role. We appreciate a well-structured application that’s easy to read!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to track your application status directly. Let’s get your journey started with us!
How to prepare for a job interview at Marcus Webb Associates Limited
✨Know Your Algorithms
Make sure you brush up on metaheuristic optimisation algorithms like genetic algorithms and simulated annealing. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Collaboration Skills
This role requires a collaborative mindset, so think of examples where you've worked closely with hardware engineers or manufacturing teams. Highlighting your teamwork skills will demonstrate that you're a good fit for their cross-disciplinary environment.
✨Prepare for Technical Questions
Expect technical questions related to test automation and data analysis. Brush up on your Python, C++, or C# skills, and be prepared to explain how you've used these languages in developing automated test frameworks or analysing large datasets.
✨Understand the Industry Context
Familiarise yourself with the latest trends in data centres, optical networks, and energy-efficient technologies. Showing that you understand the industry will not only impress them but also help you connect your skills to their mission of supporting a sustainable future.
