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Apptronik

Staff Software Engineer - Humanoid Controls

Apptronik is hiring a Staff Software Engineer - Humanoid Controls in Sunnyvale, United States. It pays $300k-$350k a year and Level rates it ; you can apply on Apptronik.

Level's read on this job

  • Level rates this software engineer role Builds AI ●●●●: the job is building AI systems.
  • The listed pay starts 80% above the typical software engineer posting on Level.
  • Tools and skills the posting cites include Python, C and Simulation.
  • Level classifies it as a senior role.
  • Level lists 88 other open roles at Apptronik.

AI in this role

Advance whole-body control and learning-based robot manipulation across wheeled and bipedal robotic platforms.

PythonCSimulation
roboticscontrol-systemsreinforcement-learningwhole-body-controlmobile-manipulation

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, and teleoperation — and the versatility to move between them.
  • Strong software engineering: 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.
  • Preferred: shipping controllers to a production fleet or to market at scale; dexterous / in-hand manipulation; legged locomotion; or safety-critical / certified software (ISO 13849, 10218, IEC 61508).

EDUCATION and/or EXPERIENCE

  • MS or PhD in Robotics, CS, EE, ME, or a related field (or equivalent experience).
  • 8+ years of relevant industry experience (or 4+ with a PhD) in robot controls, with a track record of getting controllers working on physical hardware.

PHYSICAL REQUIREMENTS:

  • Prolonged periods of sitting at a desk and working on a computer
  • Must be able to lift 15 pounds at times
  • Vision to read printed materials and a computer screen
  • Hearing and speech to communicate

Compensation: The annual compensation for this position is $300,000 - $350,000 (USD)

*This is a direct hire. Please, no outside Agency solicitations.

Apptronik provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

How we rate this

Staff Software Engineer - Humanoid Controls at Apptronik rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RoboticsControl SystemsReinforcement learningWhole Body ControlMobile ManipulationPythonCSimulation

Also common in software engineer jobs at this level

Pay

This job starts at
$300k
Typical software engineer job
$167k

This posting starts 80% above the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. Tell me about a project where robotics was part of your work. What did you do?
  2. Tell me about a project where control systems was part of your work. What did you do?
  3. Tell me about a project where reinforcement learning was part of your work. What did you do?
  4. Tell me about a project where whole body control was part of your work. What did you do?
  5. Tell me about a project where mobile manipulation was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Robotics, Control Systems, Reinforcement learning, Whole Body Control, and Mobile Manipulation. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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