Company Introduction
At Bot Auto, we build autonomous trucks to transform the way goods are transported and improve the quality of life for communities worldwide. With a start-up spirit yet long-established experience, Bot Auto has the most seasoned team that has delivered several world’s first and world’s only. Together, we share vision, we see and build miracles and we drive the future of transportation. Join us and turn your dream into something RUNNING.
Position Overview
We are looking for a highly skilled Application Engineer to bridge the gap between advanced R&D and real-world truck operations. You will play a dual role:
- First, as a Manufacturing & Integration Engineer: Ensuring our autonomous kits are perfectly retrofitted onto truck chassis. This includes process standardization, quality control implementation, and continuous improvement in manufacturing operations.
- Second, as a Technical Troubleshooter: Ensuring our fleet remains operational through rigorous diagnosis of complex sensor and system issues during daily operations.
The ideal candidate must have approved 5+ years experience in mechanical engineering, electrical engineering, manufacturing engineering, or system engineering.
Key Responsibilities
1. Truck Retrofitting & Production Development (From Design to Line)
This core area focuses on "building the machine." You will ensure the transition from engineering prototypes to scalable, high-quality retrofitted trucks.
- Production Equipment & Tooling: Design and implement specialized manufacturing tools, jigs, fixtures, and End-of-Line (EOL) testing equipment to improve efficiency.
- Process Engineering (SOP & PFMEA): Develop and maintain Standard Operating Procedures (SOPs) for vehicle retrofitting. Lead PFMEA sessions to identify and mitigate potential risks in the assembly process.
- On-site Technical Support: Serve as the primary technical point of contact on the shop floor, resolving real-time engineering issues and communicating design change requirements back to the ME/EE teams.
- NPI & DFM: Collaborate with design teams (New Product Introduction) to ensure manufacturability (DFM) and review electrical/mechanical designs for smooth integration.
- Quality & Standards: Establish inspection methods to ensure all retrofitted trucks comply with ISO/IATF and safety standards.
2. Truck Troubleshooting & Fleet Operations (System Diagnosis)
This core area focuses on "keeping the machine running." You will be the expert for autonomous driving system stability during daily fleet operations.
- AD Sensor Diagnosis: Perform deep-dive root cause analysis on LiDAR, Camera, and Radar hardware/software issues (e.g., data dropouts).
- Drive-by-Wire (DbW) Support: Troubleshoot complex interaction issues between the autonomous system and truck chassis components like steering and braking actuators.
- Data-Driven Problem Solving: Utilize diagnostic tools and communication protocols (CAN, LIN, Automotive Ethernet) to analyze logs and identify system failures.
- Fleet Health Monitoring: Support daily fleet operations by providing rapid response to vehicle-down situations, ensuring high uptime for our autonomous testing and logistics missions.
- CAPA Implementation: Implement Corrective and Preventive Actions (CAPA) based on recurring field issues to improve future vehicle iterations.
Qualifications
Required:
- Experience: 5+ years of experience in manufacturing, electrical, or systems engineering within the automotive or robotics industry.
- Technical Skills: * Proficiency in PFMEA and root cause analysis (RCA) methodologies.
- Hands-on experience with CAD software (SolidWorks or AutoCAD) for fixture design.
- Solid understanding of vehicle electrical systems and the ability to read complex electrical diagrams.
- AD Knowledge: Familiarity with autonomous driving sensors (LiDAR, Camera) and vehicle communication protocols (CAN/CAN-FD, Ethernet).
- Soft Skills: Strong communication skills to bridge the gap between shop-floor technicians and R&D engineers; a "hands-on" mindset.
Preferred:
- Experience in autonomous vehicle, electric vehicle (EVs), or robotic system manufacturing.
- Familiarity with Python, MATLAB, or LabVIEW for data processing and automation scripting is a plus but not required.
- Strong analytical skills with the ability to interpret manufacturing data and performance metrics.
- Knowledge of vehicle communication protocols (CAN, LIN, and Automotive Ethernet) and diagnostic tools for production testing.
- Basic knowledge of vehicle electrical systems.
- Knowledge of ISO 9001, IATF 16949, and automotive regulatory requirements.
- Better to have basic knowledge of ISO 16750, SAE J1455
