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Arrive AI · 3 weeks ago

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

Fishers, IN

Full-time

Onsite

Lead/Staff

Arrive AI is transforming the future of the Autonomous Last Mile™ logistics. The role of Lead AI Computer Scientist for Robotics focuses on advancing robotic intelligence and multi-modal perception for the Arrive Point platform, involving research and development of algorithms and models for seamless human-robot interactions.

Computer Software

Responsibilities

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

Qualification

Robotics AI ResearchMulti-Modal Model ExpertiseFoundational Model SkillsData Systems MasteryProgramming & ToolsLearning InnovationDomain AwarenessProblem-Solving MindsetCollaborative SpiritAdaptability

Required

PHD (or equivalent research depth) in Computer Science, AI/ML, Robotics, or a closely related field

History of forming, growing and managing teams of Data Scientists and Robotic Engineers

Proven contributions in robotic perception, planning, control, or multi-modal AI (papers, patents, open-source contributions, or industry breakthroughs)

Experience working with vision-language-action models and combining multiple modalities for user interaction and physical-world understanding

Hands-on experience adapting and tuning foundational models for robotic and multi-modal use cases

Depth in one-shot, few-shot, reinforcement learning, and transfer learning for robotics or automation

Experience designing data pipelines for AI — from collection to annotation to edge-case ingestion and continuous model retraining

Advanced skills in Python and C++, plus frameworks like PyTorch, TensorFlow, and ROS; NVIDIA ecosystem knowledge (Isaac, Omniverse, Gr00T) is a major plus

Familiarity with IoT, collaborative robots (cobots), and edge AI systems that blend digital intelligence with physical devices

Ability to turn messy real-world robotics challenges into structured AI problems and solve them with elegant, scalable approaches

Excels at working across disciplines — bridging deep research with engineering realities

Energized by startup speed and the chance to take research breakthroughs into the field fast

Benefits

High equity incentive

Company

Arrive AI

Arrive AI is a pioneer in mailbox-as-a-service (MaaS), providing secure, seamless delivery and pickup infrastructure for the last inch of the autonomous last mile.

Founded in 2020