System Integration Engineer III (Automated Vehicle Engineering)

Daifuku•Novi, MI

About The Position

The System Integration Engineer reports directly to the Engineering Supervisor and participates in the design of semi-complex systems that integrate Daifuku’s Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) for use in manufacturing, industrial, warehousing, airports, and entertainment applications, among others. This position provides the opportunity to collaborate with our sales, estimating and design teams for AGV and AMR product design and specifications. Ideal candidates will be strong critical thinkers with an analytical approach to problem solving and can engage in both technical and non-technical challenges. This position also participates in recommending ideas related to productivity improvement, cost reduction and improvement in customer satisfaction, and translates technical requirements into actual system architecture.

Requirements

Basic Analytical skills to extract critical data and translate to system concepts.
Experience with entire system design and integrations at customer sites.
Able to accommodate a variety of different and changing situations.
Positive attitude toward work requirements, fellow employees, and customers.
Team player with effective communication, technical and interpersonal skills.
Strong analytical thinking and problem-solving skills.
A wide degree of initiative, creativity, independence, and latitude is necessary and expected.
Ability to travel to customer sites per the demands of the company. (Including international travel to Canada and Mexico)
Flexibility and availability within work schedule for changing job deadlines.
Work well under pressure and tight deadlines.
Works precisely and pays close attention to details.
Ability to prioritize and manage multiple tasks simultaneously.
Must be self-managed and committed to working in a fast-paced environment.
Leadership responsibility within cross-functional multi-disciplinary teams and organization.
Willing to Travel up to 30%-50%
English Language — Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.
A.S. in Engineering or equivalent experience.
AGV/AMR, Mobile Robotics, Automation, Controls Engineering, PLC programming and System Integration experience, is preferred.
Knowledge of electrical wiring troubleshooting.
Knowledge of ANSI B56.5 specification.
Proficient in Microsoft Office – MS Word, Excel, PowerPoint, and Access.
10+ years direct experience in Automated Material Handling Systems including mechanical, electrical and/or software, is preferred.
Visits to customer locations may require negotiating through an industrial facility, including, but not limited to, conveyor systems requiring climbing access ladders, negotiation screen guards, catwalks, and lifting and/or carrying objects up to 40 lbs.

Nice To Haves

B.S. in Engineering (Electrical/Industrial/Mechanical/Mechatronics/Robotics/Computer Science) or a related field is preferred.
Proficient in AutoCAD, is preferred.

Responsibilities

Perform system integration of AGVs, AMRs and peripheral equipment at customer locations.
Responsible for system design, installation, testing, debugging, and commissioning.
Review and interpret customer’s project specifications.
Author design specification document for the project.
Define scope of work and description of operation.
Create system layout drawings, renderings, and illustrations.
Create system code.
Calculate equipment performance requirements.
Interfacing with customers.
Collaboration with other teams on the project.
Participate in simulation/emulation as needed.
Ensure that the system is designed to intended level of function, durability, and cost with focus on deliverables.
Prepare RFQ and specification documentation for equipment and machinery.
Evaluate technical risk of the project.
Identify and raise any issues that may impact project quality, scope, timing, and cost.
Present material handling technical solution to customer and internal teams.
Recommend and implement process improvement.
Provide analysis of system operational data to identify system performance improvement opportunities.
Define preliminary project schedule.
Estimate system cost.
Provide ROI assessment for the project.