Apptronik
Robotics · Humanoid robots
- HQ
- Texas, US
- Founded
- 2016
- Website
- apptronik.com
Robotics · Humanoid robots
Apptronik currently has 24 active AI-related job listings. The majority of these roles, 46%, are in the application stage. The company is primarily hiring for Engineering positions, with 18 roles, and also has 6 Product roles. Frequent tech tags include embodied_ai, model_serving, and inference_infra. Over the last 30 days, Apptronik has added 9 new AI roles, marking a 29% increase compared to the previous 30-day period.
Currently tracking 20 active AI roles, with 22 new openings in the last 4 weeks. Primary focus: Ship · Engineering. Salary range $165k–$350k (avg $232k).
Apptronik currently has 24 active AI-related roles in our index. The most common open titles are: Staff Electrical Engineer - Compute (2), Director of Product Management, Software, Field Service Engineer - New Product Introduction & Development, Lead Software Engineer - Dexterous Manipulation, Product Manager - Human Robot Interaction. Most positions are in Engineering and Product.
Apptronik's active AI hiring is concentrated in: application (46%), agents (21%), serving infrastructure (17%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Apptronik is hiring AI talent in: United States (4 roles).
Job postings at Apptronik most frequently mention: Robotics, Manufacturing, SLAM, Data Science, Robotics Simulation.
In the past 30 days, Apptronik has posted 10 new AI-related roles. That is a +43% change versus the prior 30 days (7 → 10).
| Title | Stage | AI score |
|---|---|---|
| Lead Software Engineer - Dexterous Manipulation Lead Software Engineer for dexterous manipulation in robotics, focusing on developing learning-based control algorithms for human-like precision in robotic hands. This role bridges research and production, involving architectural definition, sim-to-real strategy, and influencing hardware design for scalable deployment of AI-powered robots. | Agent | 9 |
| Software Engineer - Dexterous Manipulation Software Engineer focused on implementing, tuning, and deploying reinforcement learning and learning-based control for high-DOF, multi-fingered robotic hands, translating research into production-grade software for simulation and physical hardware. | AgentData | 8 |
| Senior Learning Perception Engineer - SLAM Senior Learning Perception Engineer focused on SLAM, visual-inertial odometry, world modeling, and learning-based perception for humanoid robots. The role involves designing, optimizing, and deploying deep learning models for real-time perception tasks, integrating multi-sensor data, and contributing to scalable training and inference pipelines. Requires a strong background in robotics, SLAM, state estimation, deep learning for computer vision, and experience shipping ML/Perception or SLAM systems on edge hardware. | Agent | 8 |