Hardware Engineer - Assisted and Automated Driving
Recruiter
JLR
Listed on
6th December 2021
Location
Gaydon
Salary/Rate
Competitive
Salary Notes
Competitive
Type
Permanent
Start Date
2021-12-06
This job has now expired please search on the home page to find live IT Jobs.
A leading premium automotive business and leading to move towards electric autonomous vehicles.WHAT TO EXPECT
The role of sensor System Engineer within the Sensor Group in Assisted and Automated Driving, is critical for delivering AAD & Motion technologies across multiple present and future Model Years. Focus is within the team that develops, integrates and maintains all Sensors for engineering tasks and deliverables for multiple systems for the application of the Sensors onto the defined programmes. The role holder will need to understand the Perception Sub System, such as Radar, Camera , Lidar and Ultra Sonic Sensors and understand the technical Strength of Radars, Cameras, ,Lidars and Ultra Sonic Sensors. You will understand how to use a correct Fusion design to fuse the different sensors to have the best performance by using different sensors and design a robust sensor alignment algorithms with our supplier and Diagnostic engineer engineers
Key Accountabilities and Responsibilities
The role holder will need to understand the Perception Sub System, such as Radar, Camera , Lidar and Ultra Sonic Sensors and understand the technicalStrengthof Radars, Cameras, ,Lidars and Ultra Sonic Sensors. You will understand how to use a correct Fusion design to fuse the different sensors to have the best performance by using different sensors, and design a robust sensor alignment algorithms with our supplier and Diagnostic engineer engineers
What you will need:
The ideal candidate will have expeirence of virtual test, component test and vehicle testing including proving ground environments. You will also have experience of Component and system level issue investigations including appropriate problem solving and reporting tools (Six Sigma, 5D, Is / Is Not, Fault Tree etc)
Knowledge, Skills and Experience:
* Preferred degree - Computer Science,Software engineering, Physics, Maths, Mechatronic engineering
* Programming skills: Python, C++, TensorFlow, Matlab and Simulink
* Experience in Automotive Engineering Delivery and in solving complex technical issues using a structured approach
* Experience in IBM Rational RTC and IBM Rational Rhapsody toolsets for requirements and issue tracking
* Experience in IBM Rational DOORS
* Knowledge and overview of JLR Toolsets, release processes, requirement and issue management (AIMs, RMDV, CORVUS, ASL, Snapshot)
Class 3 (JLR internal process), or equivalent. Area will support internal process
