Robotics Software Engineer

We’re partnering with a cutting-edge life sciences company on a mission to accelerate research using AI, robotics, and biology. They are developing a platform that scales lab work and generates vastly more data, enabling faster drug development and breakthrough biological models.

You’ll develop robotic systems that manipulate human-use biology tools, integrating motion planning, computer vision, and software solutions both in simulation and on physical robots. You’ll collaborate with scientists to identify challenges, design scalable solutions, and drive implementation in real-world lab settings.

This is a full time, onsite position in San Francisco.

Key Responsibilities:

• Design and implement robotic motion planning algorithms and trajectory optimization.
• Develop solutions for robotic manipulators to handle lab consumables and equipment.
• Integrate, test, and debug software on physical robots and simulations.
• Work directly with scientists to translate lab workflows into automated solutions.
• Focus on robustness, scalability, and simplifying complex systems.

Key Requirements:

• 4+ years of experience designing and building algorithms for robotic systems.
• Experience with robot arms and manipulator systems.
• Proficiency in Python.
• Background in motion planning, kinematics/dynamics, or control.
• Strong software engineering practices in production environments.
• Flexible, hands-on mindset; comfortable wearing multiple hats.
• BS/MS/PhD in CS, ME, EE, or related field, or equivalent experience.

Nice to Have:

• Experience with robotic simulation platforms (PyBullet, MuJoCo).
• Lab or manufacturing robotics experience.
• Familiarity with mechanical design tools (SolidWorks).
• Knowledge of software communication protocols (ZMQ, gRPC, Redis).
• Contributions to shipped hardware-software products.