Adas Engineer

2 weeks ago


Edgmond, United Kingdom Consilium Recruit Full time

**ADAS / Sensor Engineer**

**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.

**Overview**

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 oftractors 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 rolein the advancement of electrification, smart farming, and autonomous technology.

**Role & Responsibilities**:

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

**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 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.