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- Tasks: Join our R&D team to tackle real-world signal processing challenges using Python.
- Company: A UK tech company focused on advanced sensing systems and innovation.
- Benefits: Enjoy a competitive salary, bonuses, and excellent development opportunities.
- Why this job: Work in a hands-on, collaborative environment with mentorship and exposure to applied engineering.
- Qualifications: Strong academic background in Physics, Electronics, or related fields required.
- Other info: Full-time on-site in Bristol with potential for flexible working later.
The predicted salary is between 28000 - 44000 £ per year.
A UK technology company developing advanced sensing systems is looking for a DSP Research Engineer to join their growing R&D team. You will be working on real-world signal processing challenges close to product — developing detection, classification, and noise reduction algorithms in Python, and validating your work through lab experiments.
You will need a strong academic background (MSc, PhD or equivalent) in Physics, Electronics, or a related field, with good mathematical and signal processing skills. This is a hands-on, collaborative environment offering excellent development, mentorship, and exposure to applied engineering problems.
Candidates must be able to attend the Bristol site full-time initially, with flexibility possible later. Prior experience with optical systems is not required — backgrounds in wireless, radar, or audio signal processing are equally valued.
How to apply: Click “Apply”, send your CV, or message me directly to talk in confidence.
Signal Processing Engineer employer: Yoh, A Day & Zimmermann Company
Contact Detail:
Yoh, A Day & Zimmermann Company Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Signal Processing Engineer
✨Tip Number 1
Make sure to brush up on your Python skills, as you'll be developing algorithms in this language. Consider working on personal projects or contributing to open-source projects that involve signal processing to showcase your practical experience.
✨Tip Number 2
Network with professionals in the field by attending relevant meetups or conferences in the Bristol area. Engaging with others in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in signal processing, especially those related to detection and classification algorithms. Being knowledgeable about current advancements will help you stand out during discussions with the hiring team.
✨Tip Number 4
Prepare to discuss your academic background and any relevant projects in detail. Be ready to explain how your skills in mathematics and signal processing can contribute to solving real-world challenges in their R&D team.
We think you need these skills to ace Signal Processing Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in signal processing, particularly any work with detection, classification, or noise reduction algorithms. Emphasise your academic background in Physics, Electronics, or related fields.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for signal processing and your problem-solving skills. Mention specific projects or experiences that demonstrate your ability to work collaboratively in a hands-on environment.
Highlight Technical Skills: Clearly list your technical skills, especially in Python and any relevant mathematical competencies. If you have experience with wireless, radar, or audio signal processing, make sure to include that as well.
Follow Up: After submitting your application, consider sending a polite follow-up message to express your continued interest in the position. This can help keep your application top of mind for the hiring team.
How to prepare for a job interview at Yoh, A Day & Zimmermann Company
✨Showcase Your Technical Skills
Be prepared to discuss your experience with signal processing algorithms, especially in Python. Bring examples of past projects or challenges you've tackled that demonstrate your mathematical and technical abilities.
✨Understand the Company’s Focus
Research the technology company and its products. Familiarise yourself with their advanced sensing systems and think about how your background in DSP can contribute to their goals.
✨Prepare for Practical Questions
Expect to face practical questions or scenarios related to detection, classification, and noise reduction. Practising problem-solving on real-world signal processing challenges will help you feel more confident.
✨Emphasise Collaboration and Learning
Since the role is in a collaborative environment, highlight your teamwork experiences and willingness to learn from others. Discuss how mentorship has played a role in your development and how you can contribute to the team.
