Staff Software Engineer - Humanoid Controls
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.We operate at the cutting edge of Applied AI, applying our expertise across the full robotics stack to solve some of society's most important problems. You will join a team dedicated to bringing Apollo to market at scale, tackling the complex challenges like safety, commercialization, and mass production to change the world for the better.JOB SUMMARY Apptronik is building robots for the real world — to improve human quality of life and help solve the ever-increasing labor shortage. As a Staff Software Engineer – Humanoid Controls, you will be a senior technical force multiplier on our Motion Control & Planning team — the person who raises the quality of our robotics stack and moves to wherever the hardest problem is. Your scope spans whole-body control for our wheeled-base platform and our biped, learning-based hand control, mobile manipulation, and teleoperation — translating state-of-the-art controls and learning into real capability while setting technical direction for the team. ESSENTIAL DUTIES AND RESPONSIBILITIES or KEY ACCOUNTABILITIES Raise the quality of the overall controls stack — architecture, algorithms, real-time performance, testing, and long-term maintainability. Advance whole-body control across our platforms — the wheeled-base robot and the biped — coordinating the base or legs with upper-body manipulation. Flex across the stack to the highest-impact problems — e.g. learning-based hand control (RL in simulation), mobile manipulation, teleoperation, and estimation. Translate state-of-the-art model-based and learning-based methods into robust capability, from simulation through hardware bring-up and deployment. Expand the robot's performance envelope — speed, payload, reliability, and safety — with measurable, defensible improvements. Set technical direction across the controls stack, influencing the roadmap and bringing adjacent teams (locomotion, manipulation, teleoperation, RL, estimation) along. Mentor engineers and multiply team capability through design reviews, code reviews, and best practices. Collaborate cross-functionally with hardware, systems, and RL teams to co-develop solutions and diagnose system-level issues. SKILLS AND REQUIREMENTS Deep robotics fundamentals: kinematics, dynamics, state estimation, and optimization/control theory. Proven expertise in whole-body control (WBC/OSC, QP-based control, or MPC) for floating-base (legged) or mobile (wheeled) systems. Hands-on experience with learning-based control / reinforcement learning applied to robotics (training in simulation). Breadth across robot control problems — mobile manipulation, dexterity / hand control...