Lead Space Communications Engineer

NPA WorldWide; Cambridge; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in the UK is seeking a highly skilled Wireless Communications Engineer to design algorithms and optimize wireless networks. This role involves collaborating with top-tier engineers and offers hybrid working options as well as a competitive salary and benefits. Candidates with a strong background in telecommunications or applied mathematics are encouraged to apply.

Benefits

Competitive salary

Pension

Health insurance

Equity opportunities

Qualifications

• Strong knowledge of MIMO, beamforming, channel estimation, RRM.
• Experience applying principles to real-world systems (e.g., RAN, silicon, aerospace networks).
• Analytical mindset with excellent communication and collaboration skills.

Responsibilities

• Design and develop algorithms for channel estimation, prediction, and RRM.
• Apply advanced mathematical techniques to optimize wireless networks.
• Create clear, detailed technical documentation and share findings.

Skills

Wireless communication theory

Linear algebra

Matrix theory

Probability theory

Signal processing

C++

Python

MATLAB

AI/ML signal processing

Education

MSc or PhD in Telecommunications, Electrical Engineering, or related field

Tools

NVIDIA Sionna

Aerial SDK

QuaDRiGa

Job description

Job Description

We’re proud to be partnering with an industry‑leading technology company at the forefront of space connectivity and advanced wireless systems. Our client develops groundbreaking software and algorithms that power satellite and aerospace communication networks, helping to connect land, sea, air, and space like never before. With deep roots in innovation and collaborations with global research centres, they are reshaping the future of how the world communicates.

Opportunity

We’re looking for a highly skilled Wireless Communications Engineer to join this pioneering team.

Responsibilities

• Design and develop algorithms for channel estimation, prediction, and radio resource management (RRM).
• Apply advanced mathematical and signal‑processing techniques (linear algebra, probability, matrix theory, etc.) to optimize wireless networks.
• Translate complex theory into practical, implementable engineering solutions.
• Work with teams to integrate algorithms into real‑time software and simulation frameworks (3GPP, O‑RAN, SON, RIC, SMO, etc.).
• Create clear, detailed technical documentation and share findings through reports, visualisations, or presentations.
• Optionally contribute to simulation frameworks, standards work (3GPP, IEEE, IETF), or research publications.

Qualifications

• MSc or PhD in Telecommunications, Electrical Engineering, Applied Mathematics, or a related field.
• Strong knowledge of wireless communication theory (MIMO, beamforming, channel estimation, RRM).
• Proficiency in linear algebra and matrix theory (SVD, eigen‑value problems, etc.).
• Understanding of probability theory and signal processing.
• Experience applying these principles to real‑world systems (e.g., RAN, silicon, or aerospace networks).
• Analytical mindset with excellent communication and collaboration skills.
• Bonus points for experience with MATLAB, Python (NumPy / SciPy), NVIDIA Sionna, Aerial SDK, or QuaDRiGa.
• Knowledge of 5G NR, LTE, Wi‑Fi, or DVB‑S2X standards.
• Familiarity with optimisation methods, convex optimisation, or ML for wireless communications.
• Programming experience in C++, Go, Python, Java, or Rust.
• Background in AI/ML signal processing, neural networks, or GPU‑based frameworks (TensorFlow, PyTorch, CUDA).
• Research publications or patents in wireless communications.

What’s On Offer

• Work on world‑changing technology at the frontier of wireless and space systems.
• Collaborate with top‑tier engineers and researchers in an international environment.
• Hybrid and remote working options within the UK.
• Competitive salary, pension, health insurance, and equity opportunities.
• Be part of a mission‑driven team shaping the future of global connectivity.

Eligibility

Right to work in the UK. Fully remote within the UK, with flexibility for collaboration days.

Diversity & Inclusion

Our client is proud to be an Equal Opportunity Employer. They celebrate diversity and are committed to building an inclusive environment for all employees. Applications are encouraged from candidates of all backgrounds and experiences.