Lead AI Computer Scientist for Robotics – Motion, Vision, Planning & Multi-Modal Interaction

Company:

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile™.

About Us:

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery.

Product Team

You’ll be joining Arrive AI’s Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world’s first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we’re driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life’s best work, shape the future, and share in the success.

The Role:

We’re seeking an AI Computer Scientist for Robotics to advance robotic intelligence, multi-modal perception, and planning models for the Arrive Point platform and the ALM ecosystem.

This isn’t simply an implementation role — it’s a frontier research and applied AI position. You’ll be responsible for developing and tuning foundational models for robotics motion, vision, and reasoning, while also leading work in multi-modal models that combine vision, language, gestures, and environmental context for seamless human-robot and robot-world interactions.

You’ll create algorithms, pipelines, and training frameworks that allow our autonomous systems to:

• See (computer vision, 3D mapping, object detection)
• Understand (multi-modal comprehension of tasks, user intent, and environmental cues)
• Plan & Act (motion planning, decision-making under uncertainty)

What You’ll Do:

• Invent New Algorithms: Research and develop AI algorithms for motion planning, computer vision, and decision-making for drones, cobots, and autonomous devices.
• Multi-Modal Model Development: Design, fine-tune, and deploy multi-modal foundational models that integrate vision, voice, text, gesture, and physical-world signals for intuitive end-user and environmental interactions.
• Tame Foundational Models: Adapt and extend robotics and multi-modal foundational models for real-world deployments, balancing lab performance with production constraints.
• Lead One-Shot & Few-Shot Training: Build frameworks for one-shot and few-shot learning to let robots generalize new skills from limited data.
• Build Continuous Learning Pipelines: Architect data systems to collect real-world data, capture edge cases, and feed back into model retraining for continuous improvement.
• Design Planning & Reasoning Engines: Work on algorithms for real-time planning, navigation, and multi-agent coordination, ensuring systems can make smart decisions on the fly.
• Leverage Simulation Tools: Use NVIDIA Isaac, Omniverse, Cosmo, and Gr00T for training, simulating, and validating models before physical deployment.
• Cross-Disciplinary Collaboration: Work alongside robotics engineers, software developers, and product designers to turn advanced AI into practical, safe, and delightful user experiences.
• Contribute Thought Leadership: Stay ahead of research in robotics AI, multi-modal interaction, and foundation models — and help Arrive AI shape the industry narrative.

Requirements

What We're Looking For:

• Advanced Education: PHD (or equivalent research depth) in Computer Science, AI/ML, Robotics, or a closely related field.
• Leadership Acumen: History of forming, growing and managing teams of Data Scientists and Robotic Engineers
• Robotics AI Research: Proven contributions in robotic perception, planning, control, or multi-modal AI (papers, patents, open-source contributions, or industry breakthroughs).
• Multi-Modal Model Expertise: Experience working with vision-language-action models and combining multiple modalities for user interaction and physical-world understanding.
• Foundational Model Skills: Hands-on experience adapting and tuning foundational models for robotic and multi-modal use cases.
• Learning Innovation: Depth in one-shot, few-shot, reinforcement learning, and transfer learning for robotics or automation.
• Data Systems Mastery: Experience designing data pipelines for AI — from collection to annotation to edge-case ingestion and continuous model retraining.
• Programming & Tools: Advanced skills in Python and C++, plus frameworks like PyTorch, TensorFlow, and ROS; NVIDIA ecosystem knowledge (Isaac, Omniverse, Gr00T) is a major plus.
• Domain Awareness: Familiarity with IoT, collaborative robots (cobots), and edge AI systems that blend digital intelligence with physical devices.
• Problem-Solving Mindset: Ability to turn messy real-world robotics challenges into structured AI problems and solve them with elegant, scalable approaches.
• Collaborative Spirit: Excels at working across disciplines — bridging deep research with engineering realities.
• Adaptability: Energized by startup speed and the chance to take research breakthroughs into the field fast.

Additional:

• Expect to travel up to 5 days per month.
• Responsibilities include all other duties as assigned.

Compensation:

• Salary is market competitive with a high equity incentive – be an owner and grow with Arrive AI.