below marketmost similar roles pay hereabove market
This role pays more than
62%
of similar roles. Most pay
$126,500–$197,000
— the blue band above.
At the midpoint, this role pays about
$169k
versus about
$162k
for comparable roles.
Based on 240 similar postings.
Employer
About Caterpillar
Caterpillar Inc. is the world''s largest manufacturer of construction and mining equipment, diesel and natural gas engines, industrial gas turbines, and diesel-electric locomotives. Industry: Heavy Equipment & Manufacturing
Caterpillar currently has
131 open roles
on FindRole.
Listed pay typically runs
$128,470–$190,176
across 124 roles with salary data.
The Autonomy Engineering Integration Specialist joins the Technology, Digital and Data team to contribute to the design, integration, validation, and delivery of Driver Safety System capabilities. This role leads system-level integration activities, connecting safety technologies with software, hardware, machine controls, sensors, autonomy middleware, and operational workflows into customer-ready solutions. Key responsibilities include defining system-level requirements, designing architectures for autonomy-related devices, and managing verification and release readiness. The position requires expertise in systems engineering, software architecture, and the software development life cycle. Candidates must possess technical knowledge of robotics, embedded systems, and autonomy middleware. The work involves solving complex integration issues between robotic software, existing infrastructure, and machine platforms to improve autonomy and safety technology capabilities within construction, mining, or heavy machinery environments.
Define and manage system-level requirements, interfaces, and integration scope for complex safety and site technology programs.
Lead system integration, validation, verification, and release readiness activities for software, hardware, and robotic systems.
Design and align system architectures for autonomy middleware, machine control hardware, sensors, and safety systems.
Consult on integration issues between robotic software, infrastructure components, machine platforms, and customer-facing products.
Communicate technical risks, system readiness, trade-offs, and delivery status to stakeholders and partner teams.
Document system architecture, design decisions, I/O requirements, validation strategies, and success criteria.
Apply engineering judgment to improve autonomy and safety technology capabilities while balancing cost, quality, and risk.
What we're looking for
Bachelor’s degree in Computer Science, Electrical Engineering, Computer Engineering, Robotics, Engineering, or a related field, or commensurate industry experience.
Demonstrated experience developing, decomposing, and managing system requirements, interfaces, integration strategies, and validation plans across complex environments.
Knowledge of software product design and architecture to convert market and system requirements into practical designs.
Knowledge of software development life cycle practices for delivering and managing software products from concept through release.
Knowledge of software product testing, verification, and validation to design and execute test strategies.
Knowledge of autonomy, robotics, embedded, software, and system technologies to solve significant technical challenges.
Knowledge of technical troubleshooting approaches, tools, and techniques across hardware, software, applications, and operations.
Proven experience as a Systems Engineer or technical lead on software, hardware, robotics, autonomy, or embedded product development programs (preferred).
Systems Engineering
Jama
Requirements Management
Verification and Validation
System Architecture
Machine Control
Sensors
Perception
Robotics
Human-Machine Interaction
Remote Control
Interface Management
Systems Engineering
Software Development Life Cycle
HIL
Embedded Systems
Robotics
Autonomy
System Integration
Site Technology
architecture, design
Technical Troubleshooting
Robotics
System Engineering
System Architecture
Electronic Interfaces
Machine Control Hardware
Product Design
I/O Requirements
Field Trials
Computer Science
Mechanical Engineering