Systems Integration Engineer II

Daimler Truck•Detroit, MI

2d•Hybrid

About The Position

The Detroit Mechatronics Engineering team develops and validates powertrain electronic hardware systems to support conventional diesel engine technologies and ensure compliance with regulatory requirements across Daimler Truck’s heavy-duty powertrain portfolio. We specialize in the research & development of wiring harnesses, powertrain sensors, smart actuators and system-level controls for internal combustion engines, working closely with cross-functional and international teams to deliver globally competitive solutions while meeting local customer & legislative requirements. A major part of the role incorporates leading exhaust system sensor & actuator program management activities to ensure project timelines, budget, cost & quality targets are met. In addition to core technical responsibilities, the role includes leading AI/ML analytics, predictive modeling and test & report automation to improve efficiency, consistency and data-driven decision making across the Engine Hardware department.

Requirements

Bachelor of Science in Mechanical Engineering, Electrical Engineering, Electrical Computer Engineering, Mechatronic Engineering, Electrical Engineering Technology (ABET Accredited University).
3-5 years of aftertreatment engineering experience in the automotive or commercial vehicle industry.
3+ years of experience interpreting regulations, cross-functional requirements and developing powertrain strategies to fulfill the requirements.
3+ years of experience utilizing MATLAB Simulink for modeling and development.
3+ years of programming experience utilizing Python & Databricks to query big data and automate data processing and reporting.
Strong electrical or mechanical aptitude.
Experience identifying and solving the root cause of complex problems.
Strong interpersonal skills and able to work with and get work done effectively through others.
Ability to think independently and critically formulate plans and make decisions in a fast paced, emerging and sometimes ambiguous environment.
Ability to work in a truly global environment with different cultures to collaborate successfully.
Ability to manage multiple projects and inform management of any barriers.
Excellent communication, organizational, analytical, and interpersonal skills.
Strong PC skills including MS Office and database tools.
Ability to travel domestically and internationally up to 15%.

Nice To Haves

Master of Science or PhD in Mechanical Engineering, Electrical Engineering, Electrical Computer Engineering, Mechatronic Engineering, Electrical Engineering Technology (ABET Accredited University).
Strong knowledge of controls theory (i.e. PID, feedforward, Kalman filter, sensor dynamics, etc.).
Experience with internal HiL, test cell and vehicle testing tools such as proveTech, MARC V7.4, CANape and ecu.test.
Experience with machine learning and neural network frameworks with respect to sensor & actuator technology.

Responsibilities

Lead development, validation & release of exhaust system hardware as pertaining to sensors, actuators and system-level controls.
Drive internal change management (ICM) measures for future engine programs to reduce project costs and improve system efficiency.
Manage and strategically plan sensor programs with suppliers, quality & warranty engineering with respect to sensor lifetime validation and warranty targets.
Lead agile-based efforts to resolve production sensor issues by reducing unnecessary field sensor replacements.
Advance sensor development by performing application sign-off activities and conducting teardown evaluations.
Develop internal spec books for electronic sensors based on supplier information, vehicle testing and quality & warranty data using failure mode & effects analysis (FMEA).
Develop tools to assess sensor & actuator performance from CAN communication data gathered in performance test cells, durability, HiL lab, engineering vehicles, reliability growth fleet and customer demo units.
Lead and implement AI/ML projects, predictive modeling and data analytics initiatives to reduce project costs, enhance the product and improve efficiency across the department.
Leverage machine learning and neural network architecture to reduce sensor & actuator part costs and improve quality.
Analyze data, draw conclusions, and provide recommendations for critical projects across Detroit Engineering to the management team using big data tools such as Databricks & Python.
Leverage strong relationships with global counterparts to efficiently test and release mechatronics hardware.
Independently schedule work including issuing work orders, monitoring progress, and resolving problems to ensure timely completion of projects.
Generate ideas to reduce product costs and improve quality.
Create project plans and timelines and assist management with defining budget requirements.
Promptly resolve plant issues and field problems.
Lead cross-functional activities with regional and global counterparts in Engineering, Quality, Manufacturing, Sales, Purchasing, and Suppliers.
Communicate effectively and maintain professional/social interaction in a multi-cultural and international environment.
Improve knowledge and skills through training; actively identify areas of potential self-improvement and alert management of opportunities for training.
Lead initiatives to improve product quality, process efficiency, and employee satisfaction.
Maintain daily records of work hours by project.