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- Tasks: Transcode legacy algorithms from ADA to MATLAB and collaborate with a multi-disciplinary team.
- Company: Leading aerospace and defence company focused on high-integrity software solutions.
- Benefits: Competitive pay rates, opportunities for professional growth, and a dynamic work environment.
- Why this job: Join a cutting-edge project that shapes the future of aerospace technology.
- Qualifications: Experience in algorithm software development and strong teamwork skills required.
- Other info: Ideal for those with a background in defence or aerospace looking for impactful work.
We seek an engineer with recent high-integrity or safety-critical industry experience (defence, aerospace, or similar), or eligible for UK security clearance.
An opportunity is available for an experienced Algorithm / Software Engineer to support the migration of a large, complex legacy algorithm codebase from ADA into MATLAB within a regulated engineering environment. The role sits within a multi-disciplinary team and involves close collaboration with algorithm engineers, technical specialists, and downstream software teams. This position would particularly suit candidates with a defence or aerospace background who are familiar with high-assurance software development and verification practices.
Key Responsibilities- Transcode a complex legacy algorithm codebase from ADA into MATLAB in collaboration with algorithm engineers and technical experts.
- Define, distribute, and review technical activities within the wider team to support efficient delivery within project timelines.
- Develop test harnesses and implement robust testing strategies to ensure functional equivalence between legacy ADA code and MATLAB implementations.
- Develop MATLAB algorithms in line with defined Codes of Practice to ensure compatibility with auto-coding toolchains.
- Identify and resolve issues related to auto-coding compatibility, reframing algorithms where necessary.
- Work closely with downstream software teams to enable effective transfer and integration of MATLAB algorithm artefacts.
- Support the resolution of technical queries and non-compliances.
- Contribute to verification activities, including requirements verification and evidence review.
- Experience writing, delivering, and testing algorithm-related software.
- Strong experience developing software and algorithms using MathWorks toolsets (MATLAB).
- Experience with verification activities, including requirements verification and evidence review.
- Ability to rapidly assimilate complex technical information.
- Strong teamwork and collaboration skills.
Algorithms Software Engineer employer: Morson Edge
Contact Detail:
Morson Edge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithms Software Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the defence and aerospace sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MATLAB projects or any algorithm work you've done. This is your chance to demonstrate your expertise and make a lasting impression. Remember, actions speak louder than words!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around high-assurance software development and verification practices. Practice common algorithm-related questions and be ready to discuss your past experiences in detail.
✨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 job listings and make sure your application stands out by tailoring it to the specific role you're after.
We think you need these skills to ace Algorithms Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with MATLAB and ADA, especially in high-integrity or safety-critical environments. We want to see how your background fits the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about algorithm development and how your skills align with our needs. We love seeing enthusiasm and a bit of personality, so let us know what excites you about this opportunity.
Showcase Teamwork Skills: Since this role involves collaboration with various teams, make sure to highlight your teamwork experiences. Share examples of how you've worked effectively with others to deliver projects on time, as we value strong collaboration at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Morson Edge
✨Know Your Algorithms
Brush up on your knowledge of algorithms, especially those relevant to MATLAB and ADA. Be prepared to discuss specific examples from your past work where you successfully developed or tested algorithms, as this will show your expertise and experience in the field.
✨Familiarise with the Company’s Projects
Research the company’s recent projects in defence or aerospace. Understanding their work will help you tailor your responses and demonstrate your genuine interest in the role, making it easier for the interviewers to see how you fit into their team.
✨Prepare for Technical Questions
Expect technical questions related to software development and verification practices. Practise explaining complex concepts clearly and concisely, as this will showcase your ability to communicate effectively with both technical and non-technical team members.
✨Showcase Teamwork Skills
Since the role involves close collaboration with various teams, be ready to share examples of successful teamwork from your previous roles. Highlight how you contributed to a project’s success through effective communication and collaboration, which is crucial in a multi-disciplinary environment.
