At a Glance
- Tasks: Design and optimise advanced wireless communication algorithms for next-gen software-defined radio systems.
- Company: Exciting start-up linked to the University of Oxford, focused on innovative wireless communications.
- Benefits: Competitive salary, hybrid work options, and a chance to make a real-world impact.
- Other info: Join a dynamic team with excellent growth opportunities in a fast-paced environment.
- Why this job: Shape the future of wireless tech and contribute to life-saving communication systems.
- Qualifications: Master's or PhD in relevant fields with strong DSP and wireless communication skills.
A once in a lifetime opportunity has arisen for a Communication Systems / DSP Engineer to have a majority impact in the development of next generation wireless communications. Our client is an early stage, fast paced, independently funded start up, with strong links to the University of Oxford. Led by a talented team with considerable sector experience and specialist subject knowledge, their mission is to enable safe and efficient communication systems which will ultimately protect our way of life. By joining them, the Communication Systems / DSP Engineer will be seriously contributing to critical technology that will save lives and ensure our society remains safe in an ever-changing world.
This Communication Systems / DSP Engineer role will focus on the design, implementation, optimisation, and validation of advanced wireless communication algorithms for next-generation software-defined radio systems.
Key responsibilities will include:- Developing and evaluating PHY and data-link layer algorithms for wireless communication systems;
- Conducting system-level modelling and simulation in MATLAB/Python for algorithm development and performance analysis;
- Implementing floating-point and fixed-point DSP algorithms in C/C++ for real-time embedded and SDR-based systems;
- Designing, analysing, and optimising signal processing functions including modulation/demodulation, synchronisation, channel estimation, equalisation, beamforming, and error-correction coding;
- Integrating, profiling, and optimising algorithms for real-time execution on embedded compute platforms;
- Prototyping and validating communication systems using SDR hardware in laboratory and over-the-air environments;
- Troubleshooting and resolving real-world PHY/DSP issues including RF impairments, timing/frequency synchronisation problems, numerical precision effects, and performance bottlenecks;
- Working closely with systems, FPGA, RF, and software engineers to integrate and validate end-to-end wireless solutions;
- Contributing to test planning, experimental evaluation, technical documentation, and design reviews.
- Master's degree, PhD, or equivalent industry experience in Electrical Engineering, Communications, Signal Processing, Applied Mathematics, or a related discipline;
- Strong practical experience developing and debugging DSP and wireless communication algorithms in real systems;
- Strong proficiency in MATLAB, C/C++, and Python for simulation, implementation, and analysis;
- Strong understanding of digital communication and PHY-layer techniques, including OFDM, MIMO, synchronisation, channel estimation, equalisation, and forward error correction;
- Experience implementing and optimising DSP algorithms for real-time or embedded environments;
- Hands-on experience with SDR platforms and laboratory-based system bring-up, integration, and debugging;
- Strong analytical and problem-solving skills, including the ability to diagnose system-level and implementation-level issues;
- Ability to work effectively across algorithm, software, FPGA, and RF domains;
- Eligibility to work on projects related to the UK Defence and Security sector.
- 5+ years of industry experience in wireless communications, SDR, or embedded DSP systems;
- Experience with commercial or research wireless standards (e.g. LTE, 5G NR, Wi-Fi, tactical communications, satellite communications);
- Experience with fixed-point optimisation, SIMD/vectorisation, and performance tuning on embedded processors;
- Experience with FPGA-based signal processing workflows and hardware/software co-design;
- Expertise in one or more of: digital signal processing; wireless PHY design; error-correcting codes; adaptive signal processing; machine learning applied to communications systems;
- Experience conducting RF or over-the-air testing in laboratory environments;
- Familiarity with Linux-based embedded development environments and real-time systems.
If you're a Communication Systems / DSP Engineer with an expertise in advanced wireless communication algorithms for next-generation software-defined radio systems, and you're looking for a career defining role which will shape the future of wireless communications, then MARS would like to hear from you.
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days; unfortunately, if you haven't heard back in this time your application has been unsuccessful at this time.
MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles).
Communication Systems / DSP Engineer in Oxford employer: MARS Recruitment
Contact Detail:
MARS Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Communication Systems / DSP Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those linked to wireless communications or DSP. Attend meetups or webinars to meet potential employers and showcase your passion for next-gen tech.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects in MATLAB, C/C++, and Python. Include any hands-on experience with SDR platforms to demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 3
Prepare for technical interviews by brushing up on key concepts like OFDM, MIMO, and error correction. Practice explaining your past projects and how you tackled real-world challenges in DSP and wireless systems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can contribute to shaping the future of wireless communications.
We think you need these skills to ace Communication Systems / DSP Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Communication Systems / DSP Engineer role. Highlight your relevant experience in developing and debugging DSP algorithms, and don’t forget to mention your proficiency in MATLAB, C/C++, and Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about next-gen wireless communications and how your skills align with the company’s mission. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any projects related to wireless communication or DSP, make sure to include them. Whether it's a university project or something from your previous job, real-world examples can really set you apart.
Apply Through Our Website: We encourage you to apply 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!
How to prepare for a job interview at MARS Recruitment
✨Know Your Algorithms
Make sure you brush up on the advanced wireless communication algorithms you'll be working with. Be ready to discuss your experience with PHY and data-link layer algorithms, and how you've implemented them in real systems. This will show your depth of knowledge and practical skills.
✨Showcase Your Coding Skills
Since proficiency in MATLAB, C/C++, and Python is crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a previous project. Practice coding challenges related to DSP algorithms to boost your confidence.
✨Familiarise Yourself with SDR Platforms
Hands-on experience with Software-Defined Radio (SDR) platforms is essential. If you have any personal projects or relevant work experience, be ready to discuss them in detail. Highlight any troubleshooting you've done with RF impairments or system integration issues to showcase your problem-solving skills.
✨Prepare for Technical Questions
Expect technical questions that dive deep into digital communication techniques like OFDM, MIMO, and error correction. Review these concepts and think of examples from your past work where you applied them. This will help you articulate your expertise and demonstrate your fit for the role.