At a Glance
- Tasks: Design and develop cutting-edge DSP algorithms for GNSS systems.
- Company: Join u-blox, an innovative tech company with a young and dynamic team.
- Benefits: Attractive salary, flexible working options, and above-average social benefits.
- Other info: Collaborative environment with opportunities for continuous improvement and innovation.
- Why this job: Make a real impact on technology and shape the future of our products.
- Qualifications: Master's degree in relevant field and 5+ years in DSP and algorithm development.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking a highly skilled DSP Engineer to join our innovative team at u-blox. In this role, you will leverage your expertise in digital signal processing to design and develop cutting-edge algorithms that enhance our products' performance and reliability. Your contributions will directly influence our technological advancements and help shape the future of our offerings.
Responsibilities
- Design and implement advanced digital signal processing algorithms tailored for GNSS systems
- Integrate and maintain into our embedded real-time receiver software
- Collaborate with cross-functional teams to specify, model and validate hardware co-processors for core receiver functionality
- Conduct thorough performance analysis and optimization of DSP algorithms, ensuring efficiency and effectiveness
- Co-operate with other teams to investigate and improve system performance in the field
- Stay abreast of industry trends and emerging technologies in DSP to inform product development initiatives
Required and Preferred Qualifications
Required:
- Master's degree in Electrical Engineering, Computer Science, or a related field
- 5+ years of experience in digital signal processing and algorithm development
- Proficiency in MATLAB, Python, or C/C++ for algorithm design and implementation
- Deep understanding of DSP concepts, including filter design, spectral analysis, and adaptive algorithms
- Experience with real-time processing constraints and embedded systems programming
Preferred:
- PhD in a relevant field
- Experience with machine learning techniques applied to DSP
- Solid understanding of GNSS principles
- Familiarity with arm Cortex-M processors
- Hands-on experience with hardware platforms like FPGA or DSP processors
Soft Skills and Cultural Fit
- Exceptional problem-solving skills and analytical thinking
- Strong communication skills, both written and verbal, with the ability to convey complex technical concepts clearly
- Demonstrated ability to work collaboratively in a fast-paced, agile environment
- A proactive approach to continuous improvement and innovation
We offer a challenging position within an international work environment. You will be working with a young team in exciting technology. Our employment conditions are attractive with above average social benefits. In addition, we support flexible working, with work from home offered for a number of days a week.
Senior Digital Signal Processing Engineer in Cambridge employer: u-blox
Contact Detail:
u-blox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Digital Signal Processing Engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the DSP field and let them know you're on the hunt for a new role. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
✨Tip Number 2
Show off your skills! Create a portfolio of your best DSP projects, including any algorithms you've developed. This will give you a tangible way to demonstrate your capabilities during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your DSP concepts and coding skills. Practice explaining complex ideas clearly, as communication is key in collaborative environments like u-blox.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Digital Signal Processing Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in digital signal processing and algorithm development. Use keywords from the job description to show us you’re a perfect fit for the role!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about DSP and how your skills can contribute to our innovative team. Keep it concise but impactful!
Showcase Relevant Projects: If you've worked on any projects related to GNSS systems or real-time processing, make sure to mention them. We love seeing practical examples of your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at u-blox
✨Know Your DSP Inside Out
Make sure you brush up on your digital signal processing concepts, especially filter design and spectral analysis. Be ready to discuss how you've applied these in real-world scenarios, as this will show your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since proficiency in MATLAB, Python, or C/C++ is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that reflects your understanding of algorithm design.
✨Collaborate Like a Pro
Highlight your experience working with cross-functional teams. Be prepared to share examples of how you've collaborated on projects, specified requirements, and validated hardware co-processors. This will show that you can thrive in a team-oriented environment.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in DSP and GNSS technologies. Being able to discuss emerging technologies and how they could impact the company's products will demonstrate your proactive approach and genuine interest in the field.