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ADAS Lead Engineer

Chetwynd Aston
9 months ago
Applications closed

As an experienced ADAS Lead Engineer who is pro-active with a ‘can do’ attitude to work, you will be a key member of the autonomy development team. Reporting to the Principal engineer, this is a rewarding role allowing you to make a difference and be part of an exciting journey into advanced engineering relating to the agricultural sector. You will be responsible for autonomous developments and project oversight with multiple global partners.
ADAS Lead Engineer Role:

  • Owner/Responsible for Guidance control unit.
  • Define & Align Software architecture for various layers of ADAS – Vision, Perception and Actuation, define software interface requirements to partner/suppliers, and responsible for final Software integration and build.
  • Responsible for maintaining base system software (OS, Middleware etc.) & defining dependencies across partners and suppliers.
  • Responsible for verifying and validating module level software releases from Partners/suppliers.
  • Responsible for Guidance Software release management, change management.
  • You will have 1 junior role reporting to you (to recruit after this role).
  • Flexible Working Hours.
  • This role will include some occasional travel to Europe and India (4-5 times per year estimated).
    Domains & Tools:
  • ROS2 development tools, Linux development tools for embedded applications – Docker etc.
  • Computer Vision/Open CV, MATLAB/Python/C++
  • Microsoft 365
    ADAS Lead Engineer Requirements:
  • Masters/Bachelors in Robotics/Mechatronics/Electronics/Computer Science with experience of 6 - 10 years.
  • Should be well versed with ROS2, Linux for Tegra and capabilities of nVIDIA AGX Orin/XAVIER platform.
  • Should be well versed with Autonomy software stack and its basic building blocks.
  • Should be aware of Software application lifecycle process, software development process and any ALM, PLM tool for embedded systems.
  • Good knowledge on Vision and Camera related sensors - RGB MonoVision, Stereo Vision is an added advantage.
  • Having good knowledge on ML/DL approaches for Autonomous driving is an added advantage.
  • Knowledge of Agriculture would be beneficial.
    Benefits:
    This exciting and rewarding role is ideally suited to someone who is looking to be a pivotal member of a friendly, small and dynamic team. This role gives the opportunity to be a part of an exciting automation journey and you will benefit from company benefits including sick pay, pension, 25 days holiday, and flexible start/finish times.
    Applications:
    This vacancy is only available to Candidates with relevant experience as detailed in the job description. Due to volume of applications, we are unable to respond to applicants who do not possess the required skills and experience. Recent Graduates who do not have the required level of industry experience need not apply.
    Candidates must be authorised to work in the country where this role is located BEFORE making an application
National AI Awards 2025

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