Job Description
Vacancy Status:
This posting is not for an existing vacancy within the organization and is open to new applications. (New Head Count)
AI Disclosure:
As part of the application process, Artificial Intelligence will be used in the hiring process for this role
Hybrid:
This role is categorized as hybrid. This means the successful candidate is expected to report to Markham Elevation Center three times per week, at minimum [or other frequency dictated by the business].
About The Role:
Join an enthusiastic and cutting-edge team here at General Motors in the Automated Driving Performance HIL team! ADAS is a rapidly developing domain, deploying multiple new features, subsystems and sensing systems to the vehicle, and a key part of GM’s Zero Crashes, Zero Emissions, Zero Congestion vision. This is a great opportunity to join our team as a Software Engineer - Automated Driving Performance HIL Infrastructure !
Our group is responsible for a simulation toolchain used to evaluate the vehicle level performance of ADAS control features. The toolchain is anchored in a realistic 3D virtual environment, and represents sensors, physical vehicle systems, and control systems utilizing a variety of hardware (HiL) configurations running in real-time.
You’ll partner with software, capability, and program execution teams to move their testing from prototype vehicles to the virtual domain, working on features such as automatic emergency braking, lane keeping assist, adaptive cruise control, SuperCruise lane centering and more.
This role involves simulation capability and toolchain development as well as some program execution support as related to ensuring the team delivers results on time and with quality.
Key Responsibilities:
- Create & integrate models, software and hardware into our simulation infrastructure:
- These can include Simulink models to represent consumed serial data, 3d virtual road network and traffic scenarios, Carsim, dSPACE ASM & other plant models to represent the vehicle’s physical systems, and sensor models used by the ADAS controller
- Manage hardware-in-the-loop simulators (dSPACE, etc.) to support customers’ automated driving control code development and validation objectives
- Partner with the ADAS community to identify new opportunities to utilize simulation, decreasing reliance on physical test properties
- Advance the development of the core cosimulation infrastructure. Scout new technology & methods for opportunities to improve system capability, efficiency and robustness
- Actively foster a collaborative and productive work environment
Required Qualifications:
- 7yrs+ of experience in ADAS, Active Safety, and/or AV HIL simulation
- Hardware in the loop control system simulation experience with dSPACE HiL
- Experience with dSPACE software including ASM, Aurelion, SensorSim, AutomationDesk, ConfigurationDesk, MotionDesk, ModelDesk, and ControlDesk
- Sensor modeling software experience with dSpace ASM/Aurelion and CarSim, and Vires VTD
- Experience with Vector tools in HIL simulation and test execution including CANape (Ethernet, CAN, CANFD), CANalyzer, and CANoe
- Master of Science degree in Electrical Engineering, Computer Engineering, Computer Science, or Mechanical Engineering
- Experience with C, C++, Embedded C, Python, MATLAB, and Simulink programming languages
- Experience with dSPACE Scalexio, DS1006, and Environmental Sensor Interface Unit (ESI)
- Experience with SOME/IP
- Experience with Software Defined Vehicle (SDV)
- Experience with automotive control system instrumentation ETAS INCA and Vehicle Spy
- Excellent interpersonal skills to work in a highly collaborative, diverse, multi-functional team and with a broad customer base
- High level of analytical ability where problems are unusual, difficult and ambiguous
- Experience with Jira and DOORS
- 2yrs+ of experience integrating and validating ADAS subsystem HiL test platforms with vehicle cockpit, ADAS, and gateway control modules.
- 2yrs+ of experience integrating and validating component ADAS ECU HiL test platforms
- Experience designing, developing, and deploying HiL systems for the testing of ADAS features including Adaptive Cruise Control (ACC), Lane Keep Assist (LKA), Automatic Emergency Braking (AEB), and Super Cruise on both ADAS component and subsystem HiL test platforms.
- Experience with HiL development and integration at an automotive OEM.
- Experience developing scalable HiL architectures.
- Experience with real-time plant modeling in the dSPACE ASM or CarSim HiL environment.
Experience with HiL test automation and regression testing.
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Compensation:
The salary range for this role is $115,000 to $164,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Benefits:
The goal of the General Motors of Canada total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan currently includes the following benefits, in addition to many others:
- Paid time off including vacation days, holidays, and supplemental benefits for pregnancy, parental and adoption leave.
- Healthcare, dental and vision benefits including health care spending account and wellness incentive.
- Life insurance plans to cover you and your family.
- Company and matching contributions to a Defined Contribution Pension plan to help you save for retirement.
- GM Vehicle Purchase Plan for you, your family, and friends.





About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
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