F1 Gearbox Dyno Test Engineer – Data-Driven Reliability

Gm Performance Power Units; Worcester; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Bonus scheme

Private healthcare

401(k) plan including company match

Employer-paid life insurance and long/

Job summary

GM Performance Power Units is seeking a Gearbox Test Engineer to lead development, validation and reliability testing of F1 transmission systems in a factory setting. You will conduct dyno tests, build rigs, and drive data-driven improvements without trackside duties.

Responsibilities include planning robust test programs, analyzing high-resolution data, and collaborating with design teams to validate concepts and optimise performance under extreme loading conditions.

Qualifications

• 3+ years in mechanical testing, preferably motorsport, automotive, or aerospace.
• Strong understanding of gear systems, tribology, lubrication, fatigue and material behavior.
• Experience with test rigs, instrumentation (torque, speed, strain, temperature) and data analysis tools.

Responsibilities

• Plan, develop and execute gearbox test programs, including full dyno testing and endurance tests.
• Define test procedures, instrumentation and acceptance criteria; run and document results.
• Lead root cause analysis of failures and drive corrective actions with design and manufacturing teams.
• Develop and commission new test rigs and improve data acquisition processes.
• Collaborate with design and simulation teams to validate gearbox concepts and models.

Skills

Mechanical testing

Motorsport experience

Data analysis

Problem solving

Cross-functional

Communication

Education

BSc/MSc Mechanical Eng

Tools

MATLAB

Python

DAQ systems

Job description

GM Performance Power Units is seeking a Gearbox Test Engineer to lead development, validation and reliability testing of F1 transmission systems in a factory setting. You will conduct dyno tests, build rigs, and drive data-driven improvements without trackside duties.

Responsibilities include planning robust test programs, analyzing high-resolution data, and collaborating with design teams to validate concepts and optimise performance under extreme loading conditions.