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Systems Integration Engineer

Jaguar Land Rover

Lighthorne

On-site

GBP 60,000 - 80,000

Full time

Today
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Job summary

A leading automotive company in Lighthorne is seeking a Senior Systems Integration Engineer to drive innovation in Advanced Driver Assistance Systems (ADAS). The successful candidate will work on system integration, diagnostics, and collaborate within a forward-thinking engineering team. Responsibilities include developing system models, validating performance, and contributing to intelligent vehicle technologies. Candidates should have strong skills in diagnostics, system engineering, and familiarity with relevant automotive protocols. Competitive benefits are offered, including parental leave and a performance-related bonus.

Benefits

Discounted car purchase
52-week maternity leave
Competitive pension
Performance-related bonus
Employee learning scheme
Comprehensive Life Assurance
Flexible working

Qualifications

  • Strategic thinker with a background in diagnostics for ADAS.
  • Skilled in issue triage and debugging with team-oriented approach.
  • Experienced in Model-Based Systems Engineering with Simulink.

Responsibilities

  • Lead the development of system models for ADAS.
  • Validate system performance through rigorous testing.
  • Champion innovation in diagnostics systems.

Skills

Diagnostics
System Integration
Model-Based Systems Engineering
Debugging
Change Management
Configuration Management
Computer Vision
Path Planning

Tools

Simulink
Stateflow
Python
MATLAB
CarSim
Unreal
Job description

You will play a part in the future of modern luxury mobility. We're looking for a talented Senior Systems Integration Engineer with a passion for diagnostics and a deep understanding of ADAS technologies. This is a fantastic opportunity to work at the cutting edge of automotive innovation, helping to define, design, and integrate the systems that make driving safer and smarter. You'll be part of a collaborative and forward-thinking engineering team, working across sensor integration, domain controller diagnostics, and system-level fault analysis. From model-based systems engineering to test case development and protocol debugging, your expertise will help deliver robust, reliable ADAS solutions that meet both customer expectations and regulatory standards. If you thrive in a technically challenging environment, enjoy solving complex problems, and want to contribute to the next generation of driver assistance systems, we would like to hear from you!

What to Expect
  • Champion innovation by exploring emerging technologies and applying systems engineering principles to shape the next generation of diagnostics systems for Advanced Driver Assistance Systems (ADAS)
  • Your work will directly contribute to the evolution of intelligent, safety-focused vehicle technologies
  • Lead the development and integration of executable system models that clearly describe and visualise complex system behaviour. These models will help ensure we deliver the premium, intuitive experience our customers expect from JLR
  • Validate system performance and behaviour through rigorous testing and analysis, ensuring our diagnostics systems meet the highest standards of quality, reliability, and safety
  • Embrace continuous improvement, actively seeking opportunities to refine your designs and processes. Your ability to adapt and evolve will directly enhance the customer experience and support the delivery of world-class products
  • Think beyond the obvious by identifying less visible or emerging issues, and working collaboratively with cross-functional teams to develop creative, effective solutions that drive progress
Qualifications
  • Strategic thinker with enthusiasm for team development and guidance, alongside relevant experience in diagnostics, degradation, and health management for Assisted and Automated Driving systems
  • Skilled in issue triage, debugging, vehicle testing, and integration, with a team-oriented mindset that considers the wider organisational needs
  • Experienced in Model-Based Systems Engineering, ideally using Simulink and Stateflow, and capable of authoring and reviewing requirements using structured formats such as EARS
  • Proficient in change and configuration management, with a strong foundation in Systems Engineering principles and practices
  • Familiar with Driver Assistance technologies including computer vision, image processing, machine learning, path planning, sensor fusion, vehicle dynamics, and control
  • Knowledgeable in key standards and protocols such as ISO 14229 (Unified Diagnostics Services), ISO 26262 (Functional Safety), Safety of the Intended Function, ISO 21434 (Cyber Security), and automotive networking protocols like CAN, FlexRay, SOME/IP, and DoIP
  • Experience with simulation tools (CarSim, Unreal, CarMaker, DriveSim), data analysis using Python or MATLAB, and an understanding of Six Sigma methodologies
Product Engineering at JLR

Product Engineering at JLR is centred on innovation and creativity. From advanced driver assistance systems to developing the future of electric propulsion, the opportunities to create exceptional experiences for the future of motoring are wide-ranging. You'll work alongside industry experts to drive product strategy, manage programs, analyse performance, and lead transformation initiatives. Exceptional careers that bring world-renowned vehicles to life start here.

Benefits
  • Discounted car purchase (open to family members, too)
  • A 52 week maternity leave policy and a 4 week paternity leave policy. Other parental leave policies are available
  • A competitive pension
  • A JLR company performance-related bonus
  • An employee learning scheme providing funding for education, training and other activities which support the development of personal skills and promote lifelong learning
  • Access to open, employee-led support and social networks
  • Comprehensive Life Assurance and Income Protection policies
  • Flexible working
  • Flexible working is offered for specific roles dependant on responsibilities. Please speak to the hiring team for details
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