Role Definition
We build the autonomy stack that lets large off-road machines operate themselves on real customer sites — from perception through motion to control, with modern learning-based methods and a classical robotics foundations.
We are hiring high-quality robotics generalists: engineers who can work confidently across the full stack and go deep in at least one domain. You will own real components end-to-end — from idea and prototype through to production on hardware.
Responsibilities
Participating in the processes of test review and analysis, test witnessing and certification of robotics software.
Design, build, and ship autonomy components across perception, planning, control, and learning.
Take work from prototype to production on real hardware.
Bring depth in your specialty while contributing broadly across the stack.
Work in small, outcome-owning pods staffed from our capability benches.
Skill Descriptors
Artificial Intelligence: Knowledge of the concepts, technologies and methodologies of artificial intelligence (AI); ability to develop, implement and/or apply artificial intelligence products and services in specific industry domain to achieve business goals.
Programming: Knowledge of relevant programming languages and tools; ability to test, write, design, debug, troubleshoot and maintain source codes and computer programs.
Problem Solving: Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving organizational, operational or process problems; ability to apply knowledge of problem solving appropriately to diverse situations.
Top Candidates Will Have
2-3+ years of production level robotics and/or automation engineering experience
Strong robotics generalist — comfortable moving across the autonomy stack rather than staying in one narrow lane.
Expertise in at least one of: AI, motion planning, perception, controls, or SLAM.
C++ and Python, production-quality (Required)
ROS (or similar) in real robotics systems.
Full-lifecycle product experience — ideally has taken robotics products from idea to production, not just research or prototypes.
Pragmatic, first-principles engineer who owns components end-to-end and collaborates across a fast-moving delivery team.
Excited to get out on site and see their own code operate on iron — real machines in the real world, not just in the lab.
Real-world / field robotics or autonomous vehicles (on- or off-road).
Learning-based control or perception, or foundation / VLA-style models.
Sim and on-vehicle deployment.
MLOps / training-infrastructure depth for the ML-leaning profile.
Bachelor's degree in Computer Science, Engineering, or similar
Additional Details
This position requires the candidate to work full-time at the Irving, TX office (Dallas)
Domestic relocation assistance is available for this position.
Visa sponsorship is NOT available with this position.
Summary Pay Range
$97,530.00 - $158,480.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
Benefits
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
These benefits also apply to part-time employees
This position requires working onsite five days a week.
Relocation is available for this position.
Visa Sponsorship is not available for this position.
Posting Dates
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
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