Staff Software Engineer – Automation & Co-Sim Cloud Execution@ General Motors

Job Information

Job Description:

What You’ll Do

Act as subject matter expert in the virtual automation space and work cross-functionally across organization boundaries to execute the team’s mission.
Partner with cross-functional teams to lead to define and document requirements to develop various automation capabilities in a SAFe agile framework.
Partner with Simulation Integration teams to automate the deployment and maintenance of co-simulation packages in the virtualization platform.
Develop new and innovative methods to automate the maintenance of existing co-simulation environments in the cloud.
Lead the integration and deployment of automation capabilities in the virtualization platform.
Serve as virtual test-automation and cloud execution test subject matter expert for the larger organization.
Provide updates and live demonstrations to various levels of leadership and external organizations.

Your Skills & Abilities (Required Qualifications)

Bachelor’s degree in Engineering or Computer Science
10+ years of experience in virtualization, co-simulation, software development, test automation or validation roles.
In depth knowledge of embedded control system test automation.
In depth knowledge of co-simulation integration and execution.
Expertise in various programming languages (C, C++, Python, SystemC, CAPL)
Expertise in design, implementation, and maintenance of Continuous Integration and Continuous Delivery (CI/CD) pipeline solutions.
Hands-on CICD development experience with Jenkins and GitHub Actions
Demonstrated success in leading challenging projects with high levels of ambiguity to completion.
Excellent communication skills.
Familiarity with scalable simulation deployment methodologies leveraging containers (e.g. Docker, Singularity, etc.)
Familiarity with synchronous and asynchronous event driven simulation

What Will Give You A Competitive Edge (Preferred Qualifications)

Master’s degree in Software Engineering or Computer Science
Experience with Docker and container orchestration tools like Kubernetes and ECS
Expertise in AutoSAR and GM Cybersecurity standards
Experience with GM in-house test automation tools and libraries
Familiarity with automotive or related industry validation testing procedures
Familiarity with software development build process and associated tools (e.g. Gerrit, Jenkins, Git, etc.)
Expertise in automotive communications (e.g. CAN, LIN, Ethernet and SPI)
Expertise with various automotive development tools (Vector CANape/CANoe, dSpace SystemDesk, VEOS, AutoVal, Intrepid Vehicle Spy)
Consistent demonstration of GM leadership behavioral competencies.

Benefits:
Experience Level: Senior
Work From: Onsite