ADAS Functional Integration

As a Functional Integration engineer, you will be responsible for working with internal teams and suppliers to design, develop and validate ADAS systems. You will be responsible for solving integration issues and ensuring that the entire system is ready for production.

Lead the initial triage of system integration issue discovery and resolution of software bugs, gaps in specifications, and specification conflicts

Collaborate closely with VF (Vehicle Function) writers to correct internal specifications errors

Collaborate closely with the vehicle build teams to solve any issues with inter-module communication on bench and development vehicles.

Collaborate closely with the build and systems teams to solve any architectural issues with the development vehicles

Collaborate closely with partner teams to comprehend feature-level KPIs and convert these goals into performance at the vehicle level. Develop standardized tests and procedures to better objectively bound feature calibrations

Own the vehicle system level integration with partner modules/software teams

As functionality matures, begin to calibrate various ADAS features in vehicle with the supplier.

Notes:

It is expected that you will spend a significant amount of time in vehicles in this role

It is expected that you will interact with global team members both within your immediate team and with the teams that you closely collaborate with

Since this is a very dynamic role other temporary assignments may arise through the normal course of business

Basic Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field

A minimum of 5 years of experience

High level of technical problem-solving ability and techniques

Good communication skills and the ability to interface with HiL testing, vehicle integration and validation engineering organizations

Previous experience with topics such as CDA (vehicle diagnostics), CANalyzer, CANape, CAN networks, ethernet, etc

Good knowledge of vehicle dynamics

Ability to interface effectively with Tier I and Tier II automotive suppliers

Preferred Qualifications

• Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Mechanical Engineering, or related field

• Background in software development in embedded systems, control systems, Matlab Simulink/Stateflow, or algorithm development in C++, C, and/or Python

• Basic knowledge of Functional Safety

• Basic knowledge of automotive diagnostics

• Experience with Automated Driving vehicle motion controls development

• Experience in Driver Assistance or Automated Driving systems

• Calibration experience in ADAS, powertrain, etc (feature calibration or toolset background)