Senior Autonomy Engineer

Caterpillar•Mossville, IL

2d•Onsite

About The Position

This Senior Autonomy Development Engineer position is with Caterpillar’s Integrated Technology Solutions division of Cat Technology. It is a development role focused on machine collision mitigation and avoidance systems. The engineer defines software and system requirements, develops new features, installs and calibrates perception sensors on machines, works with hardware component and supplier teams, troubleshoots software and hardware issues, and coordinates validation from bench testing through proving-ground testing. The role involves developing application software in C++ on embedded Linux, including camera and radar processing pipelines; managing requirements, interface specifications, and architecture tradeoffs across sensing, compute, and machine integration; and installing, commissioning, and calibrating cameras, radar, compute, and data-acquisition hardware. The engineer plans and executes data collection at proving grounds and customer sites, builds and operates HIL benches, and develops Python automation that turns collected data into repeatable pass/fail results. The position also documents architecture, software designs, verification plans, test cases, operating procedures, and safety procedures. It leads verification and validation, applies functional safety and SOTIF practices, uses appropriate tools to debug and maintain software and hardware systems, provides technical direction and mentorship to junior engineers, and coordinates with hardware component, supplier, and testing teams. The position is full-time at Caterpillar’s Mossville, Illinois office and requires up to 25% travel.

Requirements

Ability to test, write, design, debug, troubleshoot, and maintain source code and computer programs using C++ and Python.
Knowledge of the software development life cycle and ability to use a structured methodology for delivering and managing software products.
Knowledge of software product testing and ability to design, plan, and execute testing strategies to ensure software quality and adherence to requirements.
Knowledge of requirements elicitation and specification and ability to define, document, and manage system and software requirements and interfaces.
Ability to troubleshoot faults across electrical, sensor, network, embedded, and machine domains using diagnostic approaches, tools, and instrumentation.
Ability to apply problem-solving approaches and tools to diverse situations.
Effective verbal, written, and documentation skills, including conveying technical status and risk to cross-functional and global teams.
Work full-time at the Mossville, Illinois office.
Ability to travel up to 25%.

Nice To Haves

Bachelor’s or Master’s degree in Robotics, Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related field from an accredited institution.
5+ years of experience in embedded, machine, autonomy, ADAS, or robotics systems, including hands-on hardware integration and validation.
Experience with radar and camera data processing, perception, computer vision, or machine learning.
Experience with embedded datalinks such as CAN and Ethernet, and CAN diagnostics tools such as CANoe, CANalyzer, CANape, or ETAS INCA.
Experience with NVIDIA tools and platforms such as CUDA, TensorRT, and the Jetson/Thor ecosystem, and GPU-accelerated pipelines.
Familiarity with functional safety standards such as ISO 13849, ISO 25119, IEC 61508, and ISO 21448.
Experience with sensor calibration, ISO compliance, and VR analysis.
Experience with test frameworks such as GTest, HIL/SIL environments, robotics middleware, or MATLAB/Simulink.
Machine operation and application knowledge and ability to interpret electrical schematics.

Responsibilities

Participate in the design and development of application software in C++ on embedded Linux, including camera and radar processing pipelines.
Define and manage software and system requirements, interface specifications, and architecture tradeoffs across sensing, compute, and machine integration.
Install, commission, and calibrate cameras, radar, compute, and data-acquisition hardware on machines.
Plan and execute data collection at proving grounds and customer sites.
Build and operate HIL benches and develop automated validation tooling in Python to produce repeatable pass/fail results from collected data.
Document architecture specifications, software design descriptions, verification plans, test cases, operating procedures, and safety procedures.
Debug, test, and maintain software and hardware systems; lead verification and validation and apply functional safety and SOTIF practices.
Provide technical direction and mentorship to junior engineers.
Coordinate with hardware component teams, suppliers, and testing teams.