Senior Software Engineer

GM•Warren, MI

11d•Hybrid

About The Position

We are seeking a highly skilled and experienced Senior Software Engineer to join our innovative team at General Motors. In this role, you will be instrumental in developing, validating, and deploying robust software solutions that drive our cutting-edge automotive technologies. The primary focus of this role is responsible for developing and maintaining an agnostic tool chain that supports multiple GM vehicle architectures. This role will maintain and extend the Autobot tool chain, ensuring reliable and scalable execution for automated workflows. They will take technical ownership of physical interface simulation devices, driving design, integration, and ongoing support. Success in this role requires a strong understanding of embedded controllers and complex vehicle scenarios with the ability to faithfully translate them into lower-level simulated environments for testing and validation.

Requirements

Bachelors of Science in Engineering or Computer Science w/ preferred focus in Electrical, Computer Systems, Mechanical, Aero, Computer Science
Minimum 5-7 years of development and integration experience
Hands-on leadership expertise with in-depth knowledge of vehicle system functionality
Proven program launch execution experience (you have launched something to production)
3 - 5 years experience with automated testing & frameworks
Strong experience with embedded software development and/or controls development in a real time environment
Strong python development skills and ability to work within RTOS
Proficiency within version-controlled systems, CI/CD pipeline
Comfortable with ambiguity as we build something for the first time
Ability to translate between physical interfaces and software

Nice To Haves

Understanding of Vehicle Electrical Charging Architecture and Subsystem configurations
Knowledge of Vehicle Charging level specifications and requirements for new systems.
Proven experience with Robot Framework, JIRA and JIRA X-Ray, and Confluence
Experience related to data visualization and understanding data driven results
Linux, Android and / or QNX user level experience
Previous experience with manual and automated testing
Deep experience with existing software tools such as but not limited to KeySight / IntrepidCS / NeoVI / RadMoon / Gigastar, Robot Framework, WireShark
GM organizational aptitude and experience with IRTs, SW VSEs, and PLSIE roles

Responsibilities

Extend and harden the Autobot tool chain and runners to ensure reliable, scalable execution of automated workflows and regression suites.
Design, develop, and maintain an agnostic tool chain that supports multiple GM vehicle architectures and software stacks.
Own the full lifecycle of physical interface simulation devices, including concept, design, configuration, integration, documentation, and long-term support.
Develop and maintain low-level simulation environments that accurately mirror embedded controllers and vehicle networks for repeatable testing.
Model complex vehicle scenarios and use cases and translate them into automated, lower-level simulations for validation and debug.
Collaborate with embedded controls, validation, and architecture teams to understand requirements and integrate the tool chain into their workflows.
Monitor, troubleshoot, and optimize tool chain performance, including build, deployment, and execution reliability across multiple environments.
Implement and maintain automated CI/CD and validation pipelines leveraging the Autobot tool chain and simulation infrastructure.
Ensure robust test coverage and traceability for embedded software changes using the simulation and tool-chain infrastructure.
Create and maintain technical documentation, standards, and best practices for using the tool chain and simulation devices.
Provide technical guidance and support to internal users, including onboarding, training, and advanced troubleshooting of the tools and simulations.
Continuously evaluate and integrate new technologies (hardware and software) to improve simulation of fidelity, performance, and developer productivity.
Analyze software test metrics to identify trends, potential issues, and areas for improvement in our development processes.
Ensure high data integrity across various software systems and applications, implementing strategies for data integrity and consistency.
Collaborate with stakeholders to determine requirements for electrical charge testing, translating business needs into technical specifications.