Applied Intuition
Physical AI
RoboticsEngineer,TechnicalLead
“Robotics Engineer, Technical Lead at Applied Intuition. Skills: Robotics software, AI, Python, C++. Set technical direction for robotics software and AI. Write production code”
Industry & Context.
Make architectural decisions with limited information; Build from scratch; Debugging physical robots; Iterating on live systems
Primarily work from their Applied Intuition office 5 days a week, Occasional remote work
What They're Looking For.
Must Have
7+ years of experience in robotics software development, Proven track record shipping learning-based systems, Proficiency in Python and C++ for robotics and ML, Experience with PyTorch or equivalent deep learning frameworks, Deep understanding of robotics fundamentals: kinematics, dynamics, control theory, state estimation, and perception, Experience building and evaluating visuomotor or multimodal policies end to end, Ability to operate independently in an early-stage environment, Comfort on the lab floor
Nice to Have
Experience with state-of-the-art bi-dexterous mobile hardware platforms, Familiarity with hardware bring-up, sensor integration, or embedded, Ability to engage with mechanical and electrical teams at a subsystem level, Background in SLAM, 3D perception, or sensor fusion, 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, embodied AI, or manipulation
What You'll Do.
Set technical direction for robotics software and AI
Write production code
Build functional demos on physical hardware
Define and own technical architecture for humanoid robotics software
Write production-quality code in Python and C++
Ship code to physical robots
and deploy learning-based policies
Build functional demonstrations on robot hardware platforms
Establish simulation infrastructure
Validate behaviors in physics-based environments
Analyze telemetry and failure data
Iterate quickly to improve robustness
Work with teleoperation and data collection pipelines
Generate training data
Close the sim-to-real gap
Identify and recruit engineers
How You'll Work.
Team & Collaboration
Engage meaningfully across the hardware stack; Engage with mechanical and electrical teams at a subsystem level
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