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Lead Software Engineer - Dexterous Manipulation

1 hour, 47 minutes ago
United States
Full-time
Lead
Machine Learning Engineer
Software Development
C++ Computer Vision Python Reinforcement Learning
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Apptronik

Apptronik

Apptronik develops versatile humanoid robots to tackle tasks humans prefer not to do, aiming to reshape existence and enhance universal quality of life.

Aerospace & Defense
51-250
Founded 2015
$23M raised
View All Jobs 25

Description

  • Serve as the technical authority for dexterous manipulation and own the long-term technical roadmap.
  • Design and enforce the software architecture for manipulation and teleoperation systems.
  • Integrate state-of-the-art research into production-ready manipulation policies and vision-based systems.
  • Lead the strategy for high-fidelity simulation and improve sim-to-real transfer for robot policies.
  • Define hardware requirements for next-generation robotic hands, including sensing, degrees of freedom, and torque profiles.
  • Oversee the transition of experimental code into reliable, fleet-wide production software.
  • Ensure performance and reliability of C++ and Python software running on production robotic assets.
  • Foster technical rigor, mentor robotics engineers, and raise the bar for architectural quality.

Requirements

  • BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
  • 5+ years of relevant experience, or 3+ years with a PhD, in robotic manipulation or complex motion control.
  • Deep expertise in multi-fingered hand control, grasp planning, and in-hand manipulation.
  • Proficiency in Python and experience building real-time robotic software stacks.
  • Experience with learning-based control methods such as flow/diffusion-based visiomotor policies, reinforcement learning, or reward modeling.
  • Experience with physics engines such as IsaacSim, MuJoCo, or Drake for training and validation.
  • Strong foundation in robotic kinematics, including spatial transformations, Jacobian-based control, and constrained optimization (preferred).
  • Experience with VR or haptic teleoperation and retargeting algorithms (preferred).
  • Experience integrating tactile sensing into manipulation pipelines (preferred).
  • Familiarity with 6D pose estimation, point cloud processing, or visual servoing (preferred).
  • Experience with initial calibration and tuning of high-DOF robotic end-effectors (preferred).
  • Proven track record of deploying complex manipulation algorithms from simulation to physical hardware.

Interested in this position?

Apply directly on the company website

Apply Now

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