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- Tasks: Join us in simulating and modeling cutting-edge missile systems.
- Company: A top defense company specializing in military weapons systems.
- Benefits: Enjoy bonuses, annual salary reviews, paid overtime, and more!
- Why this job: Be part of impactful projects with a dynamic team and innovative technology.
- Qualifications: Degree in STEM or equivalent experience; skills in MATLAB, Python, and algorithm development required.
- Other info: Only open to British Citizens due to security clearance requirements.
The predicted salary is between 31200 - 52000 £ per year.
Get involved in the simulation and modelling of advanced missile systems.
This leading defence company that produces military weapons systems will reward your hard work significantly with bonuses, annual salary reviews and paid overtime among other benefits.
As a Systems Engineer, you will be involved in simulation and modelling across the entire missile product chain, from radar propagation to hardware response to the onboard embedded software algorithms.
The Role:
• Our work covers simulation and modelling of the entire Seeker chain from radar propagation to hardware response, to the embedded software algorithms on-board the Seeker.
• You will have the opportunity to get involved in a variety of other activities within our department including support to field trials and lab testing.
About You:
• Ideally degree-level qualification in a STEM subject or equivalent experience
• Modelling and coding (MATLAB, Simulink, Python)
• Algorithm development
• Data analysis and technical report writing
• Knowledge of RF systems and digital signal processing
Key Information:
• Role: Systems Engineer – Modelling and Simulation
• Salary: Circa £52,000 Depending on Experience
• Location: Stevenage OR Bristol (3-4 Days a Week On-Site)
• Eligibility: Only Open to British Citizens Due to Security Clearance Requirements (See Below)
Key Skills:
Systems Engineer, Modelling, Simulation, Coding, MATLAB, Simulink, Algorithm Development, Firmware Development, RF Systems, Digital Signal Processing, DSP, Verification, Configuration Control, Model Release, Integration, Testing, Machine Learning, Artificial Intelligence.
Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special nationality rules and therefore these vacancies are only open to British Citizens. Applicants who meet this criteria will also be required to undergo security clearance vetting, if not already security cleared to a minimum SC level.
Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to a number of high technology industries. We thank you for your interest in this vacancy. If you don't hear from us within 7 working days please presume your application has been unsuccessful on this occasion. You are of course free to resubmit your CV/details in the future and we shall assess your suitability at that time.
This is a permanent position.
Algorithm Engineer employer: Electus Recruitment Solutions
Contact Detail:
Electus Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Algorithm Engineer
✨Tip Number 1
Familiarize yourself with the specific technologies and tools mentioned in the job description, such as MATLAB, Simulink, and Python. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Highlight any relevant experience you have with RF systems and digital signal processing. If you've worked on similar projects or have coursework related to these topics, be ready to discuss them in detail during the interview.
✨Tip Number 3
Prepare to demonstrate your understanding of algorithm development and data analysis. Be ready to share examples of how you've applied these skills in past roles or projects, especially in a simulation or modelling context.
✨Tip Number 4
Since this role requires security clearance, ensure you are aware of the process and requirements for British citizens. Being proactive about this can show your commitment and readiness for the position.
We think you need these skills to ace Algorithm Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Algorithm Engineer position. Understand the key responsibilities, required skills, and qualifications needed for the role.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with modelling and coding, particularly in MATLAB, Simulink, and Python. Mention any relevant projects or roles that showcase your algorithm development and data analysis skills.
Tailor Your Application: Customize your application materials to reflect the specific requirements of the job. Use keywords from the job description to demonstrate that you meet the criteria, especially regarding RF systems and digital signal processing.
Proofread Your Documents: Before submitting your application, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Electus Recruitment Solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with MATLAB, Simulink, and Python in detail. Highlight specific projects where you applied these tools for modelling and simulation, as this will demonstrate your hands-on expertise.
✨Understand the Role of RF Systems
Familiarize yourself with RF systems and digital signal processing concepts. Being able to discuss how these elements integrate into missile systems will show your depth of knowledge and interest in the field.
✨Prepare for Algorithm Development Questions
Expect questions related to algorithm development and data analysis. Be ready to explain your approach to problem-solving and provide examples of algorithms you've developed or optimized in previous roles.
✨Demonstrate Team Collaboration
Since the role involves support for field trials and lab testing, emphasize your ability to work collaboratively in a team environment. Share experiences where you successfully contributed to group projects or cross-functional teams.
