Autonomy Systems Engineer - Localization & SLAM

Caterpillar Financial Services Corporation; Irving (TX); On-site; USD 98,000 - 158,000; Full time

Benefits offered by this job

Medical Benefits

401(k) savings plans

Paid time off

Tuition Reimbursement

Parental leave

Life Insurance

Disability benefits

Employee Discounts

Job summary

Caterpillar Inc. is seeking an Autonomy Engineer in Irving, TX to design and implement localization algorithms for autonomous and semiautonomous systems.

You will prototype and productionize localization tech using perception-based, inertial, and GNSS inputs, collaborating across teams to ensure robust operation in real-world environments. You should have strong C++ and Python skills, experience with SLAM and ROS, and a solid math foundation to model 3D geometry and estimation errors.

Qualifications

• Experience with localization including SLAM approaches and graph-optimization libraries.
• Experience implementing filtering solutions including Kalman and Extended Kalman.
• Knowledge of Inertial Measurement technology and Inertial Based Navigation and/or Guidance Systems.
• Knowledge of robotics and frameworks such as ROS.
• Strong foundation in 3D geometry, linear algebra, and statistical error modeling.

Responsibilities

• Research and design of localization algorithms and software.
• Develop production quality C++ software including design, documentation, coding, product quality, and validation.
• Support requirements generation and architecture design considerations for the localization architecture.
• Support functional safety software design and validation process.
• Collaborate and mentor localization team members to execute on goals.

Skills

C++

Python

Localization

SLAM

ROS

Mathematics

Graph Optimization

Tools

Graph Optimization Libraries

Job description

Caterpillar Inc. is seeking an Autonomy Engineer in Irving, TX to design and implement localization algorithms for autonomous and semiautonomous systems.

You will prototype and productionize localization tech using perception-based, inertial, and GNSS inputs, collaborating across teams to ensure robust operation in real-world environments. You should have strong C++ and Python skills, experience with SLAM and ROS, and a solid math foundation to model 3D geometry and estimation errors.