At a Glance
- Tasks: Develop intelligent test frameworks and optimisation algorithms for optical network systems.
- Company: Join a cutting-edge tech company focused on optical networks.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement opportunities.
- Why this job: Make a real impact in optimising high-speed optical networks and enhancing performance.
- Qualifications: Proficient in software development and familiar with optimisation algorithms.
The predicted salary is between 36000 - 60000 £ per year.
We are looking for a Systems Optimisation Engineer to develop intelligent test frameworks and optimisation algorithms 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. You will collaborate closely with hardware test engineers to refine burst-mode test strategies, optimise equalisation parameters, and accelerate product evaluation from R&D through production.
Responsibilities
- Join the Optical Network Integration team and collaborate closely with other teams.
- Design and implement automated test frameworks for high-speed optical network systems, integrating hardware instrumentation (oscilloscopes, BERTs, burst-mode testers).
- Develop metaheuristic and data-driven optimisation algorithms (e.g., genetic algorithms, simulated annealing, swarm optimisation) to reduce test time and improve measurement efficiency.
- Work with hardware engineers to optimise burst-mode test sequences, equalisation settings (CTLE, FFE, DFE), and link tuning strategies.
- Analyse large datasets from validation and production testing to identify performance trends, bottlenecks, and opportunities for improvement.
- 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
- Proficiency in software development for test automation (Python, C++, or C#).
- Experience with metaheuristic optimisation (e.g., GA, simulated annealing, particle swarm).
- Experience with AI/ML techniques (e.g., reinforcement learning, predictive modelling) for test optimisation.
- Collaborative mindset to work closely with hardware engineers and manufacturing teams.
- Familiarity with production test time optimisation in semiconductor or optical device environments.
- Exposure to cloud-based data pipelines for large-scale test data processing.
- Degree in Computer Science, Electrical/Electronic Engineering, Applied Mathematics, or related field.
Systems Optimisation Engineer employer: Oriole
As a Systems Optimisation Engineer, you will thrive in a dynamic and innovative environment that champions collaboration and creativity. Our company offers a supportive work culture that prioritises employee growth through continuous learning opportunities and cutting-edge projects in the optical network sector. Located in a vibrant tech hub, we provide access to state-of-the-art facilities and resources, ensuring you can make a meaningful impact while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Systems Optimisation Engineer
✨Tip Number 1
Network, network, network! Reach out to professionals in the optical network field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to test automation and optimisation algorithms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you’ve tackled challenges in previous roles, especially those involving collaboration with hardware engineers.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s the best way to ensure your application gets noticed.
We think you need these skills to ace Systems 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 software development, optimisation algorithms, and any relevant projects that showcase your skills in test automation and data analysis.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our needs. Mention specific experiences that relate to optical networks and collaboration with hardware engineers.
Showcase Your Technical Skills:Don’t forget to emphasise your proficiency in programming languages like Python, C++, or C#. If you have experience with metaheuristic optimisation or AI/ML techniques, make sure to include that too. We love seeing those skills in action!
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 submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Oriole
✨Know Your Algorithms
Brush up on your knowledge of 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 understanding and ability to contribute to the role.
✨Showcase Your Coding Skills
Since proficiency in Python, C++, or C# is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to test automation and optimisation to feel confident.
✨Collaborate Like a Pro
This role requires a collaborative mindset, so think of examples where you've worked closely with hardware engineers or cross-functional teams. Highlight your communication skills and how you’ve contributed to successful project outcomes through teamwork.
✨Data Analysis is Key
Be prepared to discuss your experience with analysing large datasets. Bring examples of how you've identified performance trends or bottlenecks in previous roles, and how you used that data to drive improvements in testing processes.
