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Apptronik

Develops AI-powered humanoid robots for manufacturing

Staff Software Engineer - Humanoid Controls

Robotics & Autonomous SystemsConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USA$300k - $350k /yrIn-person

About the Job

Requirements

  • Deep robotics fundamentals in kinematics, dynamics, state estimation, and optimization/control theory.
  • Proven expertise in whole-body control, including whole-body control, operational space control, quadratic-programming-based control, or model predictive control, for floating-base legged or mobile wheeled systems.
  • Hands-on experience with learning-based control or reinforcement learning applied to robotics, including training in simulation.
  • Breadth across robot control problems, including mobile manipulation, dexterity or hand control, and teleoperation, with versatility to move between them.
  • Strong software engineering skills in real-time C++ and Python for robotic systems.
  • Industry experience developing production-grade controllers, including hands-on experience validating or deploying algorithms on physical robot hardware.
  • At least 8 years of relevant industry experience in robot controls, or at least 4 years with a PhD, and a track record of getting controllers working on physical hardware.
  • An MS or PhD in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent experience.
  • Ability to sit for prolonged periods and work at a computer; ability to lift 15 pounds at times; vision to read printed materials and a computer screen; and hearing and speech abilities to communicate.

Responsibilities

  • Raise the quality of the overall controls stack through architecture, algorithms, real-time performance, testing, and long-term maintainability.
  • Advance whole-body control across the wheeled-base robot and biped platforms, coordinating the base or legs with upper-body manipulation.
  • Address high-impact problems across the stack, including learning-based hand control using reinforcement learning 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 in speed, payload, reliability, and safety with measurable, defensible improvements.
  • Set technical direction across the controls stack, influence the roadmap, and bring adjacent teams in locomotion, manipulation, teleoperation, reinforcement learning, and estimation along.
  • Mentor engineers and multiply team capability through design reviews, code reviews, and best practices.
  • Collaborate cross-functionally with hardware, systems, and reinforcement learning teams to co-develop solutions and diagnose system-level issues.

Desired Qualifications

  • Experience shipping controllers to a production fleet or to market at scale.
  • Experience with dexterous or in-hand manipulation.
  • Experience with legged locomotion.
  • Experience with safety-critical or certified software, including ISO 13849, ISO 10218, or IEC 61508.

About the Company

Apptronik

Develops AI-powered humanoid robots for manufacturing

Apptronik builds Apollo humanoid robots powered by AI to work with people in manufacturing, logistics, and planned expansion to retail, healthcare, and home. Apollo robots perform physical tasks such as transporting components, sorting, and kitting, working alongside human workers. They differentiate themselves through a human-centered approach linked to the UT Austin robotics lineage and NASA’s Valkyrie, plus partnerships with Mercedes-Benz, GXO Logistics, Jabil, and Google DeepMind Gemini Robotics, with strong funding to scale production and training. Their goal is to scale Apollo deployments to enable safer, more efficient collaboration between humans and robots across multiple sectors.

Company size
501-1,000
Company stage
Private
Total funding
$949.8M
Headquarters
Austin, TX
Founded
2015

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