About this opportunity
The Robot Age lists this Senior Reinforcement Learning Engineer opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
What the role actually is
Apptronik is hiring a senior reinforcement learning engineer in Austin. The role focuses on applying RL to locomotion and manipulation challenges for humanoid robots, with an explicit expectation that results reach physical hardware.
This is a senior individual-contributor role with mentoring responsibilities, not a generic research label attached to a software job.
What you would work on
Implement and iterate on RL methods for humanoid robot behavior
Transfer policies from simulation to physical robot tests
Improve training infrastructure for high-throughput experimentation
Mentor engineers working on robot-learning systems
What they are asking for
Deep reinforcement learning experience in robotics or embodied systems
Ability to debug model behavior across simulation and hardware
Strong technical judgment around training pipelines and evaluation
Experience guiding other engineers without losing hands-on velocity
Why this one is worth a look
Senior robot-learning roles are valuable when they still stay close to the robot. Apptronik's posting frames the job around actual locomotion and manipulation results, which is the right center of gravity for a humanoid RL role.
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.