Autonomy Validation Engineer

Caterpillar Caterpillar · Industrial · Mossville, IL

The Autonomy Validation Engineer role focuses on integrating, validating, and troubleshooting autonomy hardware and software systems for autonomous machines. This includes onboard and offboard systems, planning, perception, and positioning technologies, and supporting infrastructure like ML development pipelines. The role involves developing MATLAB/Simulink models, configuring dSPACE SCALEXIO benches, designing wiring harnesses, integrating communication protocols (CAN, Ethernet), validating sensor simulations (LiDAR, Radar, Camera, GPS, IMU), and driving troubleshooting efforts. A strong understanding of AI concepts and experience with complex autonomous vehicle systems are required.

What you'd actually do

  1. Integrate and validate sensor simulation for autonomous machines—LiDAR point clouds, Radar detections/tracks, and Camera, GPS, IMU—ensuring correct interfaces, timing/synchronization, calibration alignment, and controllable fault modes (dropouts, noise, occlusions, latency) to exercise perception and system behaviors in HIL.
  2. Drive structured troubleshooting to isolate and resolve issues spanning full system level integration—software defects, interface mismatches, timing/network conflicts, sensor simulation fidelity or synchronization gaps, workflow issues, and HIL bench design shortcomings—then implement corrective actions with traceable evidence (logs, captures, test artifacts, documentation).
  3. Develop and maintain MATLAB/Simulink real-time models for machine dynamics, including actuator/ECM I/O behaviors, to enable closed-loop validation, fault injection, and regression testing on HIL benches.
  4. Configure, operate, and troubleshoot dSPACE SCALEXIO benches using ConfigurationDesk, and ControlDesk, including deployment, parameter/variant management, automated test execution, and bench bring-up activities supporting Autonomous system integration.
  5. Integrate and validate communications across CAN/J1939 plus Ethernet/TCP-IP within an integrated architecture, including troubleshooting of bandwidth, timing, and interoperability issues affecting autonomy functions and data transport where applicable.

Skills

Required

  • Bachelor’s degree in engineering or computer science, or an advanced degree (Masters or Ph.D.) in related field.
  • Experience with design, development, validation, or product support role of complex autonomous vehicle systems
  • Knowledge in iterative testing using agile methodologies.
  • Understanding of V-model for verification & validation
  • Experience with model-based simulation programs.
  • Extensive experience with electrical systems including harness & electrical integration, interface and sensors.
  • Advanced data analysis and systems analysis efforts and skills are needed to help troubleshoot complex issues from test or customer sites, and to examine information from test sites to improve overall systems performance.
  • Good communication is expected for technical status updates, test plan reviews, and when working closely with other autonomy validation engineers, support teams and product support.
  • Knowledge of AI concepts, technologies and methodologies to develop and implement/apply AI products in specific industry domain to achieve business goals.

Nice to have

  • MATLAB/Simulink
  • dSPACE SCALEXIO
  • ConfigurationDesk
  • ControlDesk
  • CAN/J1939
  • Ethernet/TCP-IP
  • LiDAR
  • Radar
  • Camera
  • GPS
  • IMU

What the JD emphasized

  • complex autonomous vehicle systems
  • AI concepts, technologies and methodologies

Other signals

  • autonomous vehicle systems
  • AI concepts, technologies and methodologies
  • machine learning development pipelines
  • perception and positioning technologies