ADAS Engineer

Shropshire £ 30,000 - £ 50,000 p.a. Permanent

Job Reference: 014671

Posted on behalf of

TAFE Agricultural



Formed in 1960, TAFE is firmly established as a global leader in the design and development of agri-machinery equipment. With a presence in over 100 countries and a group turnover exceeding US $1.5bn, TAFE is already the world’s third largest producer of tractors by volume, backed by best-in class production facilities and extensive R&D expertise.


As a business totally committed to building long-term relationships with stakeholders via fair and ethical business practices, a major investment in a start-up European Technical Centre located in Newport, Shropshire is underway and due to launch this summer.


With a focus on developing new technology and products, particularly for the UK & European agricultural sector, individuals with the ability to drive and influence this highly innovative engineering centre of excellence are sought to take a leading role in the advancement of electrification, smart farming, and autonomous technology.



Commutable from: Telford, Shrewsbury, Wrexham, Stoke, Uttoxeter, Stafford, Walsall, Wolverhampton 


Salary: £ Negotiable + Excellent Benefits including flexible working & some WFH


Suitable for: Sensor Fusion Engineer, ADAS Engineer, Computer Vision, Depth Sensor Engineer, Vision Sensor Systems.  



Role & Responsibilities


  • Derive & draft Spatial and Depth Sensor, Sensor-interface requirements by understanding application requirements, interacting with Vehicle Integration, Application Software teams and Tier-1s.

  • Derive Signal processing requirements & develop models for data pre-processing, feeding to Machine learning and Deep learning model pipelines.

  • Derive and propose Sensor fusion models based on suitability of sensors and its application requirements.

  • Work with vehicle integration and validation team closely to customize sensor specification to suit application requirements.



The Person


  • A background in Automotive / Off-highway functional safety / sensors.

  • Good working experience and knowledge on Automotive active (RADAR, LiDAR, Ultrasonic) and passive sensors (RGB Mono Vision, Stereo Vision and RGBD) plus other ADAS sensor technologies.

  • Good working experience in developing applications for 3D depth perception for on-road/off road vehicle segments

  • Good knowledge on ML driven perception and classification techniques is an added advantage

  • Good experience on localisation algorithms is an added advantage



Tools & Systems


  • Computer Vision, MATLAB, Python, Open CV, CAN, Automotive Ethernet with knowledge of Tensorflow Keras is an added advantage.


To apply for the role of ADAS / Senior Engineer please send a current CV to Ben Cottriall.

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