Planning Engineer - AI Applications at Autonomous Solutions

, Utah, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, ROS, AI, Machine Learning, Motion Planning, Image Processing, Pathfinding, Decision Modeling, Robotics, Simulation, Control Systems, Real Time Systems, Analytical Skills, Problem Solving, Model Deployment

Industry

Automation Machinery Manufacturing

Description

At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety, Transparency, Humility, Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As a Planning Engineer IV, you will focus on creating AI driven planning and decision-making systems that guide autonomous behavior in our robotic platforms. In this role you will build on the foundation of our AI Applications with a deeper focus on motion planning, decision modeling, and real time performance. You will develop intelligent planning algorithms, integrate them with simulation and control modules, and collaborate closely with robotics teams to ensure safe, reliable, and efficient autonomous operation. Responsibilities: Develop AI based planning and decision models that drive autonomous robot behavior, path selection, and task execution. Integrate planning algorithms with motion planning, control systems, simulation environments, and other robotics modules. Embed planning models into production systems and platform services while ensuring compatibility with perception, control, and safety modules. Convert trained planning models into production ready components such as services, APIs, or embedded libraries. Tune algorithms for real time performance, low latency, and reliability to meet safety critical and operational requirements. Collaborate with robotics engineers, controls specialists, data scientists, and software developers to align model behavior with system requirements. Test and validate planning systems using simulation, hardware in the loop, and field deployments to ensure predictable and robust autonomous performance. Monitor deployed planning systems and refine models, parameters, and integration points to continuously improve efficiency, safety, and effectiveness. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, Robotics, or a related technical field. 10+ years of experience working as a software engineer utilizing Python, C++, and ROS. Experience developing AI or machine learning models for autonomous decision making or planning systems. Strong understanding of machine learning techniques, data modeling, and model deployment workflows. Hands on experience with motion planning, image processing, pathfinding, decision modeling, or related robotics planning domains. Experience integrating AI models into real time or near real time systems and tuning for performance. Strong analytical and problem-solving abilities with the ability to translate system behavior into technical solutions. At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding non-discrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

Responsibilities

Develop AI-based planning and decision models for autonomous robot behavior and integrate them with various robotics modules. Collaborate with engineering teams to ensure safe and efficient autonomous operations.