Software Engineer - Virtualization & SIL Integration

Software Engineer In Virtualization And Sil Integration

General Motors is undergoing a major transformation, both in how we operate and in how we will influence the future of transportation. As we move towards our ZERO ZERO ZERO vision for the future, we are on the forefront of this work and seeking out driven, innovative individuals who will join our team to help achieve our mission. We are currently looking for experienced and motivated candidates for the role of Software Engineer in Virtualization and SIL (Software-in-the-Loop) Integration domain.

This position supports L4 Virtual Electronic Control Unit (vECU) integration into a co-simulation environment for developing, verifying, and validating embedded software.

A successful candidate is ultimately responsible for delivering a quality simulation environment on time to meet the customers' requirements. This position requires an individual with a passion for modeling, an adept knowledge of system simulation and integration, and demonstrated capability for managing a wide variety of technical and customer needs.

What You Will Do (Responsibilities):

• Integrate Plant models and Virtual-ECU models into a dynamic simulation
• Develop, integrate and maintain serial data connectivity links (bridges) between the co-simulation platform, virtual controllers, models and tools.
• Obtain, develop & parameterize sub-system models, such as sensors and actuators, and ECU behavioral models
• Provide support for released simulations and assist with user testing and troubleshooting.
• Support deployment of simulations on Azure cloud.
• Create and maintain detailed documents for each release

Your Skills & Abilities (Required Qualifications)

• Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science or similar fields.
• Minimum 2 years of relevant professional engineering experience.
• Proficient in Embedded C and Python.
• Hands-on experience with dSPACE tools such as VEOS and ControlDesk.
• Experience with GitHub and GitHub Actions for version control and CI/CD automation.
• Experience with MATLAB, Simulink and simulation tools (e.g. GT-Power, AMESIM, CarSim).
• Knowledge of software debugging tools (Lauterbach, Green Hills Multi IDE, etc.).
• Experience using Intrepid Vehicle Spy or Vector CANoe for simulation and communication monitoring.
• Proficient in automotive communication technologies such as CAN, LIN, SPI and automotive ethernet.
• Familiarity with AUTOSAR Layered Software Architecture.

What Can Give You A Competitive Edge (Preferred Qualifications):

• Master's degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science or similar fields.
• Co-Simulation expertise with Level-4 VECUs.
• Proficiency in off-the-shelf EDA toolchains such as Synopsys Virtualizer and Cadence/ASTC vLAB.
• Knowledge of ARM based microcontrollers.
• Excellent communication skills.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).

This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.