Autonomy Software Engineer - Production-Ready ML & C++

Caterpillar Brazil; Northern (KY); Hybrid; USD 98,000 - 158,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Paid time off

401(k)

Health Savings Account

Flexible Spending Accounts

Career Development

Incentive bonus

Disability benefits

Life Insurance

Parental leave

Tuition Reimbursement

Adoption benefits

Employee Discounts

Job summary

Caterpillar Inc. is seeking an Autonomy Development Engineer to design and deliver production‑quality software for autonomous and semi‑autonomous heavy equipment used in mining and construction.

You will own features across the full lifecycle, from concept to deployment, and collaborate with cross‑functional teams to advance autonomy technologies into production. The role requires strong C/C++ and ML skills, experience with ROS and Linux environments, and familiarity with AWS/MLOps.

Qualifications

• Proficient in C/C++ with strong debugging skills.
• Experience in ML model development and deployment.
• Knowledge of Python scripting for data processing.
• Familiarity with robotics frameworks such as ROS.
• Experience with cloud environments (AWS) and MLOps practices.

Responsibilities

• Develop production‑quality C/C++ software for autonomy and automation systems.
• Own feature or subsystem development across the full software lifecycle.
• Contribute to requirements, architecture discussions, and trade-offs.
• Collaborate with software, systems, hardware, and validation teams.

Skills

C/C++

ML engineering

Python

ROS

AWS

Education

Bachelor's degree in CS/Engineering

Tools

Git

Linux

CI/CD

Job description

Caterpillar Inc. is seeking an Autonomy Development Engineer to design and deliver production‑quality software for autonomous and semi‑autonomous heavy equipment used in mining and construction.

You will own features across the full lifecycle, from concept to deployment, and collaborate with cross‑functional teams to advance autonomy technologies into production. The role requires strong C/C++ and ML skills, experience with ROS and Linux environments, and familiarity with AWS/MLOps.