Senior Software Engineer, Humanoid Controls & Robotics

Apptronik; Sunnyvale (CA); On-site; USD 300,000 - 350,000; Full time

Job summary

Apptronik is seeking a Staff Software Engineer – Humanoid Controls to join our Motion Control & Planning team in Sunnyvale, CA. You will raise the quality of our robotics stack, enabling safe, scalable control for the Apollo humanoid across wheeled-base and biped platforms.

You will translate state-of-the-art model-based and learning-based methods into robust, deployable capabilities from simulation through hardware bring-up, mentoring engineers and guiding technical direction.

Qualifications

• 8+ years of robot controls experience or 4+ with a PhD.
• Proven expertise in whole-body control for floating-base or mobile systems.
• Hands-on experience with learning-based control in robotics.
• Strong C++ and Python for robotic systems.

Responsibilities

• Raise the quality of the overall controls stack — architecture, algorithms, real-time performance, testing, and long-term maintainability.
• Advance whole-body control across our platforms — the wheeled-base robot and the biped — coordinating the base or legs with upper-body manipulation.
• Translate state-of-the-art model-based and learning-based methods into robust capability, from simulation through hardware bring-up and deployment.
• Mentor engineers and multiply team capability through design reviews, code reviews, and best practices.
• Collaborate cross-functionally with hardware, systems, and RL teams to co-develop solutions and diagnose system-level issues.

Skills

Robotics fundamentals

Whole-body control

C++ and Python

Reinforcement learning

Real-time systems

Education

MS/PhD in Robotics/CS/EE/ME

8+ years robot controls experience

Tools

QP-based control

MPC

Job description

Apptronik is seeking a Staff Software Engineer – Humanoid Controls to join our Motion Control & Planning team in Sunnyvale, CA. You will raise the quality of our robotics stack, enabling safe, scalable control for the Apollo humanoid across wheeled-base and biped platforms.

You will translate state-of-the-art model-based and learning-based methods into robust, deployable capabilities from simulation through hardware bring-up, mentoring engineers and guiding technical direction.