Robotics Engineer, Technical Lead

Responsibilities

• Define and own the technical architecture for humanoid robotics software, including perception, planning, control, and learned behaviors
• Write production-quality code in Python and C++ and deploy it to physical robot hardware
• Design, train, evaluate, and deploy learning-based policies for manipulation and locomotion
• Build functional demonstrations on multiple robot hardware platforms to prove capabilities and inform the product roadmap
• Establish simulation infrastructure and validate behaviors in physics-based environments
• Instrument robots, analyze telemetry and failure data, and iterate to improve real-world robustness
• Work with teleoperation and data collection pipelines to close the sim-to-real gap
• Identify and recruit future engineers for the robotics team

Requirements

• BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field
• 7+ years of experience in robotics software development, specifically with humanoid, legged, or highly dexterous manipulation platforms
• Proven track record shipping learning-based systems (e.g., behavior cloning, RL, or VLA policies) to real robots
• Strong proficiency in Python and C++ for robotics and ML systems
• Experience with PyTorch or equivalent deep learning frameworks
• Deep understanding of kinematics, dynamics, control theory, state estimation, and perception
• Ability to operate independently in an early-stage environment and make architectural decisions
• Comfort working on the lab floor debugging physical robots and running hardware-in-the-loop tests

Preferred Qualifications

• Experience with state-of-the-art bi-dexterous mobile hardware platforms and whole-body control
• Familiarity with hardware bring-up, sensor integration, or embedded systems
• Background in SLAM, 3D perception, or sensor fusion (IMU, lidar, cameras, force/torque)
• Experience with physics simulators such as MuJoCo, NVIDIA Isaac Sim, or Gazebo
• Familiarity with ROS/ROS2 or similar robotics middleware
• Publication record or open-source contributions in robot learning or embodied AI

About the Company

Applied Intuition is powering the future of physical AI. Founded in 2017, we are creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. We service the automotive, defense, trucking, construction, mining, and agriculture industries through tools, operating systems, and autonomy solutions.