Autonomous Dozer GNC Engineer III

asirobots; Fort Worth (TX); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401k with employer match

Generous HSA contribution

PTO & holidays

Job summary

ASI is expanding its engineering team in the United States to support autonomous dozer development across roadmap projects and customer deployments. The position is a full-time W-2 contract integrated into the ASI team, with benefits via a staffing partner and project-based durations typically lasting 2–4 years.

The Guidance, Navigation, and Controls Engineer III will design, implement, and validate algorithms for autonomous dozers, collaborating across perception, embedded software, and field

Qualifications

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Robotics, Computer Engineering, Computer Science, or related field
• Typically five or more years of experience developing controls, navigation, robotics, vehicle-dynamics, state-estimation, or autonomous-system software
• Strong understanding of classical and modern control theory, including feedback control, PID control, stability, and system dynamics
• Experience developing and tuning control algorithms on physical robotic, automotive, aerospace, industrial, or heavy-equipment systems
• Experience with localization, navigation, trajectory generation, path tracking, or state estimation
• Proficiency in C++ and Python, MATLAB/Simulink, or comparable engineering tools
• Experience developing software in Linux-based environments
• Familiarity with ROS, ROS2, or comparable robotics middleware
• Understanding of coordinate systems, transformations, vehicle kinematics, and vehicle dynamics
• Experience using simulation and test data to evaluate algorithm and system performance
• Experience developing production-quality software using version control, peer review, automated testing, and continuous integration practices
• Ability to analyze complex system behavior and troubleshoot software, sensor, and vehicle-integration issues
• Strong analytical, mathematical, and technical problem-solving skills
• Strong written and verbal communication skills
• Ability to work effectively with cross-functional engineering and field teams

Responsibilities

• Develop, implement, integrate, and validate guidance, navigation, and control algorithms for autonomous dozer applications
• Contribute to vehicle motion control, path tracking, trajectory following, steering, propulsion, braking, and speed-control capabilities
• Develop and tune feedback-control algorithms to improve vehicle stability, accuracy, responsiveness, and operational performance
• Support navigation capabilities that allow autonomous dozers to move safely and efficiently through defined work areas
• Develop and improve localization and state-estimation solutions using GPS/GNSS, inertial sensors, wheel or track feedback, and other vehicle data
• Contribute to trajectory-generation and path-planning solutions for earthmoving, grading, cut-and-fill, site preparation, and related workflows
• Support integration between vehicle motion control, blade-control systems, perception outputs, and task-planning software
• Own defined GNC features and moderately complex assignments from development through integration, testing, and field validation
• Develop models of vehicle dynamics and system behavior to support controller design, simulation, and performance analysis
• Tune control parameters on physical equipment and evaluate performance across different terrain, payload, speed, and operating conditions
• Evaluate GNC performance using simulation, software-in-the-loop testing, hardware-in-the-loop testing, recorded-data replay, and full-machine field testing
• Establish measurable performance criteria for assigned features, including path accuracy, tracking error, stability, response time, and task completion
• Analyze vehicle logs and field data to identify performance limitations, control instability, localization errors, and edge cases
• Develop tools and scripts for simulation, data processing, visualization, automated testing, controller tuning, and performance analysis
• Troubleshoot issues involving control behavior, localization, vehicle interfaces, sensor timing, coordinate systems, and system integration
• Collaborate with perception engineers to ensure environmental and terrain information supports safe navigation and control decisions
• Work with embedded software engineers to integrate GNC algorithms into real-time vehicle-control systems
• Partner with test engineers and field testers to develop test procedures, reproduce issues, and verify corrective actions
• Participate in design reviews, code reviews, sprint planning, and technical investigations
• Document algorithms, mathematical models, software interfaces, assumptions, test results, and known system limitations
• Support customer demonstrations, field deployments, and troubleshooting activities as required

Skills

C++

Python

Control theory

State estimation

Mathematical analysis

Education

Bachelor's degree in Mechanical/Electrical/Robotics/CS

Typically five+ years experience in controls/robust software

Tools

ROS/ROS2

Linux

MATLAB/Simulink

Job description

ASI is expanding its engineering team in the United States to support autonomous dozer development across roadmap projects and customer deployments. The position is a full-time W-2 contract integrated into the ASI team, with benefits via a staffing partner and project-based durations typically lasting 2–4 years.

The Guidance, Navigation, and Controls Engineer III will design, implement, and validate algorithms for autonomous dozers, collaborating across perception, embedded software, and field