Minimum qualifications:- Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages.
- 2 years of experience in developing and debugging robotic software systems.
- 2 years of experience with physics-based simulation environments, specifically MuJoCo, for model development and testing.
- 1 year of experience developing behaviors for mobile robotic systems.
Preferred qualifications:- 4 years of experience in developing and debugging robotic software systems.
- Proven expertise in Reinforcement Learning (RL) for robotic locomotion and physical control.
- In-depth understanding of safe system design for physical-software interaction during autonomous operation.
- Strong background in robotic kinematics, dynamics, and classical control theory.
Responsibilities- Design and implement control systems for robotic platforms, focusing on executing long-horizon, fully autonomous behaviors to put cycles on new hardware platforms.
- Optimize control loops and real-time software to ensure low-latency response and stability during complex physical interactions.
- Work within an established internal simulation based RL pipeline to accelerate design insights.
- Collaborate with the hardware and AI teams to define requirements for future robotic systems.
- Establish software development best practices, including high test coverage and modular code architecture for behavioral stacks.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $210000 (USD) 15% bonus target equity benefits
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