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# Software Engineer (IK / Controls)

- **Company:** DROYD, LLC
- **Location:** San Francisco, CA, United States
- **Salary:** $140,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Kinematics, Reliability of Systems
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=074abce00aec9ef0

## About the Role

Do you have experience in Math?, * Have deep experience with inverse kinematics, controls, or robotics motion systems

 * Have strong robotics math and implementation ability
 * Can work independently on hard technical problems with limited guidance
 * Are comfortable moving between theory and practical system behavior
 * Thrive in a fast-moving startup environment

Nice to have:

 * Experience with optimization-based robotics methods
 * Experience with manipulation or motion planning systems
 * Experience validating robotics algorithms on real hardware

## Description

As a Software Engineer (IK / Controls) at Droyd, you will work on core motion and manipulation problems across inverse kinematics, controls-adjacent systems, and solver-heavy robotics software. You will help improve how the robot plans and executes motion under real-world constraints.

This role is highly technical and best suited for someone deeply comfortable with robotics math, implementation, and translating theory into behavior on real hardware.

This role is based on-site in San Francisco, CA.

In This Role, You'll

Motion & Manipulation

 * Improve inverse kinematics and motion-related systems for robot manipulation
 * Work on controls-adjacent and solver-heavy problems in the robotics stack
 * Help close the gap between current system performance and state-of-the-art capability

Implementation & Validation

 * Translate physical and mathematical intuition into robust implementation
 * Collaborate closely with software, hardware, and robotics teams to validate solutions on real systems

Reliability

 * Contribute to motion behavior that performs reliably in practical environments
 * Balance theoretical rigor with practical system constraints


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