Manage team to validate all features with the ADAS domain, integrate and calibrate ground truth measurement equipment.

Manage both hardware technical requirements for ADAS devices and external suppliers.

Validate of all features within the ADAS domain and management of test collection data for review.

Strive to provide value continuously to the product and ultimately the customer. Define the strategy for engineering the product requirements at to enable implementation of features into the product. Create a comprehensive scenario to which the product may be subjected to during the operation and develop strategies and requirements to effectively manage the situations.

Strive to provide value continuously to the product and ultimately the customer. Define the strategy for engineering the product requirements at to enable implementation of features into the product. Define the ODD for the product and implement behavioral and Functional safety guidelines and standards to address risks arising from misuse and Faults in the product.

The ADAS Engineer, Technical Program Manager - External Supplier will manage external supplier partners for execution of agreed upon deliverables.

Manage external supplier partners for execution of agreed upon deliverables for the ADCM (ADAS Control Module)

The ADAS Engineer, Vehicle Integration will validate of all features within the ADAS domain, integrate and calibrate ground truth measurement equipment.

Manage external supplier partners for execution of agreed upon deliverables for the Ultra Sonic Sensors (USS) and Radars.

The ADAS Engineer Feature Software Architect develops the software architecture and integrates the code to implement a full feature into the domain controller of our ADAS system. He or she is responsible for deriving the software requirements to be consumed by internal and external development teams while ensuring support from the systems engineering and algorithms teams.

The ADAS Engineer, Features Requirements & Use Cases will strive to provide value continuously to the product and ultimately the customer, define the strategy for engineering the product requirements at to enable implementation of features into the product, and create the feature requirements and associated use cases for the ADAS product.

The ADAS Engineer Feature Software Integration works with external development partners and integrates the code to implement a full feature into the domain controller of our ADAS system as per the software architecture. He or she is responsible for deriving the software requirements to be consumed by internal and external development teams while ensuring support from the systems engineering and algorithms teams.

Lead the technical team managing external partnerships that will help deliver the production L2.5 ADAS system. Help define the strategy and technical requirements for implementing ADAS features into the vehicle.  Ensure technical interfaces with external teams are set up for success with adequate tracking of internal and external deliverables and KPI’s.

As an Autonomous Driving Engineer, you would be responsible for developing CV/DL algorithms using machine learning approaches, including deep learning neural network. Implement autonomous driving software features in vehicle ECUs. Design and implement computer vision-based and deep learning-based lane detection algorithms.

The Director will develop ADAS future strategies, roadmaps, and execution plans for Canoo.

As a Motion Controls Engineer you will develop and maintain software for vehicle perception using various sensor input devices including Cameras, LIDAR, RADAR, ultrasonic, GPS, IMU and others on Vehicle CAN. You will be responsible for various motion planning and control tasks such as developing algorithms for lane centering, adaptive cruise control, automatic emergency braking, lane departure warning, blind spot detections, cross traffic alerts etc.

ADAS Software Engineer develops tools and automated processes to support the accurate and timely development of machine learning algorithms for autonomous driving features. The engineer develops software for data collection, data compression, data uploading/downloading using cloud and on-prem servers. The engineer handles the training and neural network model deployment pipeline to enable machine learning scientists to efficiently deploy their algorithms.

The Business Manager will support the ADAS team to keep alignment with defined engineering and business processes.

The Manager for the Feature Owner Software Engineering team will act as a player/coach, who both leads the team and develops the code to implement a full feature into the domain controller of our ADAS system. He or she is responsible for deriving the software requirements to be consumed by internal and external development teams while ensuring support from the systems engineering and algorithms teams.

Develop algorithms to support ADAS systems and bring the latest techniques to the ADAS team.