System Engineer

Overview

We are seeking a highly skilled Systems Engineer to join our Fleet Solutions team, focused on delivering next-generation connected tire monitoring technologies for commercial trucks and trailers. This role will contribute to the development and deployment of advanced fleet health systems, including Tire-as-a-Service (TaaS) platforms, leveraging tire-mounted sensors, vehicle telematics, and cloud-based analytics (AWS). You will play a key role in designing, integrating, and validating intelligent solutions that enhance tire safety, uptime, and fleet efficiency.

• Develop and maintain end-to-end system architectures for truck and trailer tire monitoring system
• Define and document system-level performance, reliability, and cybersecurity requirements aligned with fleet use case
• Collaborate with product managers, algorithm teams, hardware engineers, and fleet customers to translate operational needs into scalable solutions

• Design and integrate tire-mounted sensors, trailer-mounted gateways, and vehicle telematics devices
• Ensure interoperability across tractors and trailers, including mixed-fleet and retrofit scenarios
• Support vehicle validation and interface with SAE J1939 / CAN protocols as needed

• Develop test strategies for on-vehicle and bench testing of tire monitoring and alerting system
• Execute field testing with fleets to verify sensor accuracy, cloud connectivity, and alert logic
• Support troubleshooting during fleet trials and early-stage deployment
• Leverage AWS-based platforms to enable real-time data collection, health scoring, and remote diagnostics
• Work closely with data engineers to define API interactions, data models, and over-the-air (OTA) communication path

• Create and maintain system documentation including architecture diagrams, interface definitions, and test reports
• Support compliance to industry standards and fleet safety regulations (e.g., FMCSA, 49 CFR 393.52)

• Bachelors degree in Electrical, Mechanical, Computer Engineering, or related field
• Strong understanding of vehicle systems, especially in commercial fleets (Class 6–8 trucks and trailers)
• Experience with model-based development tools (MATLAB/Simulink)
• Proficiency in AWS or other cloud platforms and IoT architectures
• Experience with sensor integration, hardware/software co-design, and validation

• Master’s degree in Systems, Mechatronics, or Automotive Engineering
• Experience with fleet telematics platforms, tire pressure monitoring systems (TPMS), or TaaS models
• Familiarity with SAE J1939, CAN bus, and vehicle diagnostics standards
• Knowledge of machine learning, predictive analytics, or real-time alerting systems
• Exposure to ISO 26262 or automotive safety-critical systems development
• Experience working with Salesforce to support customer-facing solutions, case management, or integration with cloud-based platforms