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- Tasks: Join our R&D team to tackle real-world signal processing challenges using Python.
- Company: We're a UK tech company innovating advanced sensing systems.
- 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 problems.
- Qualifications: Strong academic background in Physics, Electronics, or related fields required.
- Other info: No prior optical systems experience needed; backgrounds in wireless, radar, or audio processing are welcome.
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'll 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'll 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
Familiarise yourself with the latest trends and technologies in signal processing. This will not only help you during interviews but also show your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Engage with professionals in the industry through platforms like LinkedIn. Networking can provide insights into the company culture and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've applied your signal processing skills. Being able to articulate your hands-on experience will demonstrate your capability and readiness for the role.
✨Tip Number 4
Research the company’s products and recent developments. Understanding their work in advanced sensing systems will allow you to tailor your conversation and show how your skills align with their needs.
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 relate to the role and how they have prepared you for this position.
Highlight Technical Skills: Clearly list your technical skills, especially in Python and any relevant mathematical techniques. If you have experience with lab experiments or applied engineering problems, be sure to include that as well.
Follow Application Instructions: When applying, ensure you follow the instructions provided by the company. Click 'Apply' on their website, attach your CV, and consider reaching out directly to Thomas Bird on LinkedIn for a more personal touch.
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. Highlight any relevant projects or research you've worked on, and be ready to explain your approach to solving complex problems.
✨Demonstrate Your Collaborative Spirit
Since the role involves working in a hands-on, collaborative environment, share examples of how you've successfully worked in teams. Discuss your communication style and how you contribute to group problem-solving.
✨Prepare for Practical Questions
Expect to face practical questions or scenarios related to detection, classification, and noise reduction. Brush up on your mathematical foundations and be ready to apply them to real-world challenges during the interview.
✨Research the Company and Its Products
Familiarise yourself with the company's advanced sensing systems and any recent developments in their technology. This will not only show your interest but also help you ask insightful questions that demonstrate your enthusiasm for the role.
