Transmission Controls Systems Development Engineer
General Motors
- Location
- Pontiac, Michigan, United States of America
- Work model
- On-Site
- Level
- Mid
- H-1B history
- 267 approvals (FY2023)
- Posted
- Aug 27, 2026
About this role
Job Description
Role Summary A Development Engineer within Transmission Controls Systems is responsible for delivering high-quality transmission development and validation activities that support current and future propulsion programs. The engineer will lead testing efforts from setup and execution through data analysis and issue resolution while partnering with calibration, controls, hardware, and facilities teams. The ideal candidate demonstrates strong technical aptitude, attention to detail, and a passion for continuous improvement. This role provides opportunities to influence testing strategies, improve development processes, and advance the adoption of virtual engineering tools and model-based development methodologies.
Key Responsibilities
Support development test units throughout the build process, including setup, debugging, and test readiness activities. Plan, develop, and execute first-time-capable tests to support transmission hardware and calibration development. Track, monitor, and communicate testing progress, technical issues, and project status to stakeholders. Lead root cause investigations and resolve technical issues encountered during test setup and execution. Collaborate with Product Development Teams, Technical Experts, Calibration and Controls engineers, and hardware development teams to enhance existing tests and develop new testing methodologies. Develop an understanding of ECU control algorithms and associated calibration processes to effectively support development activities. Utilize and develop post-processing tools to ensure data quality, improve analysis efficiency, and maximize the value of collected test data. Identify opportunities for data reduction, automation, and process optimization. Develop and implement global standard work processes and best practices to improve consistency and efficiency. Work closely with facilities teams, technical leads, hardware release engineers, and cross-functional partners to improve test execution and laboratory operations. Support the transition of development work from vehicle and laboratory testing to math-based models, simulation environments, and virtual validation tools. Document test procedures, results, and recommendations with clear and concise technical reporting. Train, mentor, and support the development of new engineers and team members.
Required Qualifications
Education Bachelor's degree in: Mechanical Engineering Electrical Engineering Computer Science Physics Or a related engineering discipline Experience and Skills Minimum of 2 years of automotive engineering experience with exposure to transmission systems. Strong understanding of engineering development and validation processes. Demonstrated ability to deliver results in a fast-paced development environment. Excellent planning, organization, and problem-solving skills. Strong verbal and written communication skills. Ability to work independently while effectively collaborating across cross-functional teams. Demonstrated ability to establish and maintain strong peer relationships. Strong prioritization and project management capabilities. Experience with data acquisition systems and engineering test environments. Experience analyzing engineering data to optimize testing, development, or model performance. Willingness and ability to travel as needed for offsite testing activities (less than 15%).
Preferred Qualifications
Experience with: PUMA IndiCom CAMEO ETAS INCA / MDA Experience supporting propulsion system calibration in both laboratory and vehicle environments. Two or more years of experience in transmission testing, Development, Validation, Controls, Calibration, or hardware development. Strong understanding of transmission operation, functionality, controls, and performance characteristics. Experience with model-based development, simulation tools, or virtual validation methodologies. Knowledge of data analytics, automation, and test efficiency improvement techniques. 

GM