Apptronik · 2 months ago
Senior AI Engineer - Reinforcement Learning
Austin, TX
Full-time
Onsite
Senior Level
5+ years expApptronik is building robots for the real world to improve human quality of life. The Senior AI Engineer - Reinforcement Learning will focus on achieving state-of-the-art performance on humanoid robots by implementing advanced learning algorithms and mentoring junior engineers.
Artificial Intelligence (AI)Industrial AutomationMachinery ManufacturingRobotics
Responsibilities
Implement and deploy state-of-the-art RL algorithms to achieve ambitious, world-class performance on dynamic locomotion and manipulation tasks with physical hardware
Drive the entire development cycle, from prototyping in simulation to robustly transferring and fine-tuning policies on the robot
Optimize and scale the RL training pipeline for faster iteration, contributing to core infrastructure for high-throughput simulation and distributed training
Mentor junior engineers by providing technical guidance, conducting insightful code reviews, and sharing best practices in reinforcement learning and software development
Collaborate closely with the robotics and hardware teams to diagnose system-level issues and co-develop solutions that enable more complex learned behaviors
Analyze and present hardware results to guide future technical directions and demonstrate progress on key company objectives
Qualification
Required
Deep, hands-on expertise (5+ years) with common RL frameworks (e.g., PyTorch, JAX) and high-fidelity physics simulators (e.g., MuJoCo, IsaacGym)
Mastery of Python for rapid prototyping and training, alongside strong proficiency in C++ for developing performant, deployable code
Experience building or utilizing large-scale, distributed training pipelines and a strong intuition for their optimization
A strong theoretical understanding of modern reinforcement learning, including deep expertise in areas like imitation learning, model-based RL, and sim-to-real transfer techniques
A strong intuition for robot dynamics and controls theory, with the ability to apply these principles to guide and constrain learning-based approaches
A results-oriented mindset with a passion for seeing complex algorithms work on real-world hardware
A PhD or MS in Computer Science, Robotics, or a related field, with 2+ years industry experience strongly preferred
A proven track record of successfully deploying learning-based policies on physical robotic systems, especially legged robots or manipulators
Demonstrated experience mentoring or providing technical guidance to other engineers in a team environment
Preferred
A strong publication record in relevant conferences or journals (e.g., CoRL, RSS, ICRA) is a significant plus
Company
Apptronik
Apptronik is a robotics company that designs and builds human-centered robotics systems.
51-200 employees
H1B Sponsorship
Apptronik has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (5)
2023 (5)
2021 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$762.79MKey Investors
Humanoid GlobalTerex
2025-11-25Series B· $331M
2025-10-02Corporate Round· $0.06M
2025-02-13Series A· $403M
Leadership Team
Jeffrey Cardenas
CEO
Nicholas Paine
CTO
Recent News
2025-12-25
2025-12-22
2025-12-17
Company data provided by crunchbase