<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Signal Processing Engineer - Radar Systems - Newton Colmore RSS Feed</title>
    <link>https://jobs.co.uk/job/signal-processing-engineer-radar-systems-newton-colmore--1d21a56f-ddad-4176-a4a9-86ad165eeed6</link>
    <description>RSS feed for Signal Processing Engineer - Radar Systems at Newton Colmore.</description>
    <language>en-gb</language>
    <lastBuildDate>Tue, 26 May 2026 19:01:22 GMT</lastBuildDate>
    <item>
      <title>Signal Processing Engineer - Radar Systems - Newton Colmore</title>
      <link>https://jobs.co.uk/job/signal-processing-engineer-radar-systems-newton-colmore--1d21a56f-ddad-4176-a4a9-86ad165eeed6</link>
      <guid>https://jobs.co.uk/job/signal-processing-engineer-radar-systems-newton-colmore--1d21a56f-ddad-4176-a4a9-86ad165eeed6</guid>
      <pubDate>Mon, 25 May 2026 23:00:00 GMT</pubDate>
      <description>Location: Cambridge | Salary: Negotiable | Type: Permanent | Signal Processing Engineer - Radar Systems     Solve the problems others can''t. Work at the edge of what''s possible.     Newton Colmore is partnered with a research-led engineering organisation working on some of the most complex and mission-critical challenges in defence. This is an opportunity to join a deeply technical, multidisciplinary team tackling cutting-edge problems in radar and advanced sensing systems.     If you''re motivated by first-principles thinking, enjoy modelling complex real-world systems, and want to see your work deployed in high-impact environments, this role offers a rare platform.     You will work on highly complex, often ambiguous technical challenges, developing novel approaches to radar signal processing and advanced sensing problems. This is a role all about innovation, experimentation, and proof-of-concept development at the frontier of technology.     The main responsibilities of the role include;   Develop advanced models and simulations of radar and sensing systems  Design and validate signal processing algorithms under realistic constraints  Explore system-level interactions across RF, sensing, and processing domains  Build and test proof-of-c...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>