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Senior Autonomy Integration Engineer

Shield AILondon, United KingdomFull-timeSalary not listed · Typical pay in United KingdomPosted Nov 6, 2026

This listing is for a Senior Autonomy Integration Engineer role at Shield AI, in London, United Kingdom. The listing describes it as a full-time, senior position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

This listing is for a Senior Autonomy Integration Engineer role at Shield AI, in London, United Kingdom. The listing describes it as a full-time, senior position.

From the advert, the main requirements are 7+ years of experience.

The advert mentions Python, C++ and Linux among the skills and tools for this role.

The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.

Visa sponsorship is not mentioned. Applicants from outside United Kingdom should check the official work permit route before applying.

Dev Global Jobs found this job on Arbeitnow on Nov 6, 2026.

Employer
Shield AI
Location
London, United Kingdom
Job type
Full-time
Level (from the title)
senior
Pay
Not stated by the employer
Experience asked
7+ years
Found
Nov 6, 2026 on Arbeitnow
Employer text
613 words, about 3 min to read
Skills named in the advert
PythonC++Linux
Before you apply
  • Apply only on the official page (arbeitnow.co.uk). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 7+ years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, C++ and Linux) in your CV where you really have them; applicant tracking systems look for these words.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 6, 2026
Pay benchmark
Average wage, United Kingdom
GBP 46,511 average / year

Source: OECD Average annual wages, 2025

Cost of living · United Kingdom
100.5 vs New York = 100

UN living-cost index for United Kingdom (ICSC post adjustment 76.4), as of 1 Oct 2026.

Source: ICSC post adjustment classifications (icsc.un.org)

Work permit route
  • Skilled Worker visa: Job offer from a licensed sponsor at the required skill and salary level; English requirement
  • Health and Care Worker visa: Eligible health and social care roles with a licensed sponsor
  • Global Talent visa: Endorsement as a leader or potential leader in a listed field

Official routes: UK Visas and Immigration (GOV.UK)

Job description

About the role

Full text from the employer, as published on Arbeitnow, arranged into sections. Nothing added or removed.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.  This position is ideal for an individual who thrives on solving complex integration challenges that span hardware, software, and systems engineering. A successful candidate will be skilled at deploying autonomy solutions onto unmanned platforms, preparing systems for flight, and troubleshooting mission-critical issues in both lab and field environments.   The role is highly dynamic, requiring hands-on experience, strong systems thinking, and the ability to operate effectively in fast-paced, real-world test conditions. Our Flight Integration Engineers are essential to bridging the gap between R&D and deployment, ensuring that autonomous systems function reliably and effectively when and where they are needed most.  What you'll do:
  • System Integration & Deployment, Integrate autonomy software onto unmanned aircraft systems, ensuring seamless operation across onboard compute, sensors, and control interfaces.
  • Pre-flight Preparation, Own the build, configuration, and validation process for flight-ready systems; coordinate hardware/software compatibility and mission readiness.
  • On-site Flight Test Support, Travel to test sites and support live flight operations, including safety checks, system bring-up, and troubleshooting under time-critical constraints.
  • Hardware/Software Debugging, Diagnose and resolve integration issues across complex autonomy software stacks and embedded systems in lab and field environments.
  • Flight Data Capture & Analysis, Manage data collection during missions and post-test analysis, working with autonomy engineers to refine behaviors and identify improvements.
  • Collaboration Across Teams, Work closely with autonomy, GNC, systems, and test teams to ensure mission-critical functionality is delivered on time and validated thoroughly.
  • Continuous Improvement, Build tools and processes to improve integration timelines, flight test reliability, and team efficiency across deployment cycles.
  • Support Certification and Compliance, Assist with documentation and system-level validation required for certification, airworthiness, and compliance in defense-relevant environments. 
  • Travel Requirement, Members of this team typically travel around 30-40% of the year (to different office locations, customer sites, and flight integration events). 
  • Required qualifications:
  • BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience. 
  • Typically requires a minimum of 7 years of related experience with a Bachelor’s degree; or 5 years and a Master’s degree; or 4 years with a PhD; or equivalent work experience. 
  • Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).
  • Proficiency in Linux-based development and experience working with embedded systems, shell scripting, and system diagnostics. 
  • Knowledge of sensor integration, sensor fusion, and middleware frameworks (e.g., ROS, DDS).
  • Hands-on experience supporting flight demos or live exercises. 
  • Experience with simulation tools and environments for testing and validation.
  • Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.
  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment. 
  • Preferred Qualifications:
  • Direct experience supporting unmanned aerial systems or similar flight test campaigns.
  • Familiarity with autonomy stacks, flight control systems, or GNC pipelines.
  • Competence in sensor integration, electronics debugging, or avionics bring-up.
  • Proficiency in developing automation tools for system testing, logging, and data parsing.
  • Comfortable interfacing with DoD stakeholders during field events or technical reviews.
  • Experience with UCI and OMS Standards. 
  •   Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

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