Planning Engineer IV - AI Applications (Lehi)

Title: Planning Engineer IV - AI Applications
Location : Salt Lake City Area (hybrid/onsite 3x/wk)
Target Start Date : ASAP
Type: Contract-to-Hire (Direct Hire possible)
Pay Rate : $70.00-$81.50/hr ($145-170K)

Overview
Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior-level Planning Engineer to design and deploy AI-driven planning and decision-making systems for autonomous robotic platforms. This role focuses on motion planning, decision modeling, and real-time autonomy, bridging AI research and production systems. You will work closely with robotics, controls, and AI teams to embed intelligent planning capabilities into operational autonomous products.

• Develop and deploy AI-based planning and decision models that drive autonomous robot behavior, path planning, and task execution.
• Integrate planning algorithms with motion planning, control systems (GNC), simulation environments, and robotics platforms.
• Convert AI planning models into production-ready services, APIs, or embedded components.
• Optimize algorithms for real-time performance, low latency, and safety-critical operation.
• Collaborate with AI, robotics, systems, and software teams in both research and product-focused environments.
• Validate planning systems using simulation, hardware-in-the-loop, and field testing.
• Monitor deployed systems and continuously refine models to improve autonomy, reliability, and efficiency.
  

• Bachelor's degree in Computer Science, Robotics, Computer Engineering, or a related technical field.
• 10 years of engineering experience, including 2-5 years working with AI/ML systems.
• Strong programming experience with Python (required); C and ROS experience highly preferred.
• Hands-on experience with AI/ML frameworks such as PyTorch.
• Proven background in motion planning, decision modeling, pathfinding, or autonomous robotics planning.
• Experience integrating AI solutions into existing autonomy or GNC platforms.
• Ability to work effectively in cross-functional, fast-growing engineering teams spanning research and product delivery.

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