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 |
|---|---|---|
| Staff Product Manager, Applied AI Staff Product Manager, Applied AI at Apptronik, a human-centered robotics company. The role focuses on driving the product vision and roadmap for AI-powered robots, specifically integrating, adapting, and fine-tuning foundation models into the robot's autonomy stack. Responsibilities include owning the AI model roadmap, defining data strategy, translating customer needs into model requirements, and ensuring alignment with business objectives and customer benefits. Experience with modern robot learning techniques and integrating/adapting models is required. | Post-trainAgent | 8 |