Role: Product Development Engineer

Location: Lisle IL

MUST: ADAS and Cab Domain software

Roles and Responsibilities:

• Development of controls and software for Driver Assistance and Cab-Body functions

• Development of controls software requirements, controls algorithms utilizing embedded software development tools and process

• Development of appropriate documentation to support process compliance.

• Functional verification/testing of developed design using data-replay/plant based closed-loop simulation techniques/ proto software test at HIL/engine dyno/vehicle.

• Problem solving and implementing solutions to the control’s software issues.

• Active participation in internal and external peer reviews to foster continuous improvement of both the products and the development process.

• Collaborate with multi-functional teams and business partners to develop and improve software functionality.

Desired skills:

• B.S. or M.S. degree in in Engineering or Engineering Technology

• Embedded software development knowledge, in Drivers Assistance Systems, Cab Body function domain functions

• Experience with Engineering tool Matlab, Simulink, MS Visio, INCA calibration tool, Software configuration management tools

• Experience with Software programming language such as C/C , embedded software development tools

• Experience with Functional simulation of developed design using data-replay or plant based closed-loop simulation techniques.

• Experience with Vehicle, Powertrain, or Engine Controls System design

• Familiarity with engineering and quality design and development methodologies: (8D, FMEA, DVP&R)

• Good understanding in functional areas, such as Autonomous Electronics (Radar, Lidar, Camera etc.), Vehicle Communications and Network

• Strong interpersonal skills with ability to communicate effectively and establish good working relationships across departments.

• Understanding of In-Vehicle communication via CAN & the associated protocols (J1939, UDS, XCP)

• Knowledge is Problem solving and issue root cause identification techniques.

• Experience in Software debugging and testing tools (CANalyzer, debuggers); Software optimization, instrumentation, tracing

• Experience with professional software engineering best practices for full software development life cycle, including coding standards, source code control & revision management, build processes, testing.