Quality Assurance

Program and Project Management

Engineering

Business Development

Arts and Design

Operations

Information Technology

Human Resources

Physical AI software infrastructure for autonomous machines

Founder, CEO

CTO, Co-founder

Yapay Zeka Gündemi #56

Applied Intuition Launches Dana, the Agentic Platform for Physical AI

Human Capital Portfolio

Applied Intuition, Inc. Grows to $6 Billion Valuation, Securing $250 Million in Series E Funding to Advance Vehicle Software and AI Capabilities

C++ Software Engineer (Autonomous Systems)

Applied Intuition is powering the future of physical AI and is seeking a C++ Software Engineer to develop, deploy, and maintain autonomy capabilities for vehicles. The role involves integrating software with hardware, testing in real-world environments, and collaborating with cross-functional teams to ensure robust system performance.

Technical Lead, Mining Autonomy Platform

Applied Intuition is a Silicon Valley company focused on powering the future of physical AI. As a Technical Lead for the Mining Autonomy Platform, you will oversee the development of the autonomy stack for large-scale autonomous mining operations, ensuring reliable vehicle performance through innovative software and hardware integration.

Android Software Engineer - Applications

Applied Intuition is a Silicon Valley company powering the future of physical AI, creating digital infrastructure for intelligent machines. The Android Software Engineer will design and maintain advanced Android apps for vehicle intelligence, collaborating with teams to deliver innovative features for the automotive industry.

Software Engineer (SDS Core - Data and Test Flywheel)

Applied Intuition is a leading company in physical AI, creating digital infrastructure for autonomous vehicles. The Data and Test Flywheel Engineer will build systems connecting vehicle data collection and automated model improvement, working closely with ML engineers to enhance the performance of autonomous driving technology.

Research Engineer - AI/RL Infrastructure

Applied Intuition is powering the future of physical AI, creating the digital infrastructure for autonomous systems. The Research Engineer will design and build AI infrastructure, collaborating with researchers to enhance the company's capabilities in machine learning and robotics.

ML Runtime Optimization Engineer

Applied Intuition is a Silicon Valley company focused on powering the future of physical AI. They are looking for an ML Runtime Optimization Engineer to optimize ML models and deploy them in production-grade embedded runtime environments, collaborating with ML engineers and software developers to enhance model performance.

Research Intern - 3D Vision and Generation, Self-Driving

Applied Intuition is a Silicon Valley company focused on powering the future of physical AI, providing digital infrastructure for autonomous driving and robotics. They are seeking multiple passionate Research Interns to join their Research Group to conduct research on 3D vision topics and collaborate on high-quality research publications.

Research Engineer - 3D Vision and Generation, Self-Driving

Applied Intuition is powering the future of physical AI, focusing on creating the digital infrastructure necessary for autonomous systems. The Research Engineer will conduct cutting-edge research in 3D vision, collaborate with experts, and contribute to advancements in autonomous driving and robotics.

Research Intern - Robotic Hardware, Simulation and Data

Applied Intuition is a company focused on powering the future of physical AI. They are seeking multiple passionate Research Interns to join their Research Group to contribute to cutting-edge technology in autonomous driving and robotics.

Research Intern - Reinforcement Learning, Robotics

Applied Intuition, Inc. is powering the future of physical AI, creating the digital infrastructure needed for intelligence in moving machines. They are seeking multiple passionate Research Interns to join their Research Group, focusing on cutting-edge technology in autonomous driving and robotics, with responsibilities including research on reinforcement learning and collaboration on high-quality publications.