Powertrain Engine Calibration Engineer

V2Soft•Auburn Hills, MI

5d•Onsite

About The Position

V2Soft is seeking a Powertrain Calibration Methodology Engineer responsible for developing, testing, and validating propulsion system calibration processes to achieve world-class range, fuel economy, and drivability while meeting current and future emission standards. The engineer will develop new calibration processes for virtual and physical testing resources using techniques such as MIL, HIL, and Propulsion System Benches. This role involves cross-functional interaction with different CoE teams and support engineers. Process development will cover new powertrain technologies including ICE, BEV, and xHEV for both future and carry-over applications. The engineer will develop disruptive technology processes to optimize the efficiency, quality, and product delivery for calibration functions.

Requirements

Bachelor's Degree in Electrical/Mechanical Engineering
5+ Years of Dyno lab experience with calibration of ICE, XHEV powertrain
3+ Years of experience developing Calibration testing and verification methodology
2+ Years of experience in automotive controls/SW verification using MIL, SIL, HIL platforms
2+ Years of experience in validation support of dSPACE or NI HIL simulators
1+ Years of experience in dSPACE control and automation desk software
0–3 years of experience in powertrain calibration, testing, or related engineering fields.
Experience working in laboratory environments, including: Engine dynos, Propulsion system dynos, Electric motor dynos
Understanding of powertrain systems and calibration processes.
Exposure to both traditional ICE and electrified powertrains (HEV/XHEV/BEV).
Familiarity with: MATLAB Simulink, dSPACE HIL simulators
Basic controls knowledge, including PID control concepts.
Experience with calibration and data analysis tools such as: ETAS INCA MDSI, Similar calibration/data analysis platforms
Strong communication skills are critical.
Ability to work effectively in a laboratory and cross-functional environment.
Flexibility to support multiple powertrain domains and adapt as project needs change.

Nice To Haves

Master's Degree in Electrical/Mechanical Engineering, Master's, PhD Preferred.
Hands-on experience with powertrain systems through internships, laboratory work, research projects, or coursework.
Understanding of how hybrid and electric powertrains operate.
Candidates with academic exposure and practical project work may be considered even if professional experience is limited.

Responsibilities

Understanding of Dyno, Propulsion system benches operations and data analysis
Support construction of virtual models to simulate system performance
Provide expertise to correlate vehicle, dyno, and virtual datasets
Work with the CoE teams to ensure best practices are developed and followed
Provide guidance for calibrators to assure system performance objectives
Work closely with Virtual and HIL teams to ensure and define feature functionality
Understand the Hybrid and electrified powertrain controls algorithm developed in MATLAB/SIMULINK platform
Work with the data acquisition and analysis tools such as dSPACE Automation, Controldesk, ETAS-INCA, MDA