Robotics Software Engineer II

Join the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine:
the manufacturing of life‑saving advanced biologics, from gene and cell therapies to antibodies and more.

Today, these therapies are produced through manual, labor‑intensive processes. Costs are extremely high—often $500K-$2M per patient—limiting access to only a small fraction of those who need them.

As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable.

We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them.

We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients.

The Mission: Build the world’s best robots to make life‑saving therapies accessible to all.

The Technology: Advanced robotic orchestration, high‑precision automation, cloud‑integrated hardware‑software systems, dextrous manipulation, and imitation learning.

The

Location:

Headquartered in San Francisco, CA.

The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator.

As a Robotics Software Engineer, you will be responsible for developing and implementing the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you will collaborate with a world‑class team to solve practical engineering challenges. This role is for a passionate, hands‑on engineer who is eager to contribute to robust systems that have a direct impact on patient lives.

• Machine Interface & Feature Development: Develop and implement novel software interactions for our in‑house designed machine interfaces. You will write production‑ready code that enables our robotic arms to communicate with and operate a variety of bioprocess instruments across our manufacturing clusters.
• Hardware‑Software Integration: Bridge the gap between high‑level robotic logic and low‑level hardware execution. You will ensure that our UR arms can precisely manipulate and monitor custom hardware components within a mission‑critical environment.
• Core Algorithm Implementation: Implement and tune algorithms for trajectory planning, robotic interaction, and motion control, specifically optimized for the constraints of our bioprocess hardware.
• Simulation & Validation: Use high‑fidelity simulation environments (e.g., Isaac Sim, Gazebo) to validate new hardware interactions and develop automated test suites to maintain software robustness.
• Cross‑Functional Troubleshooting: Partner closely with the hardware team to identify, reproduce, and resolve system‑level bugs that arise when software meets physical hardware.
• Code Quality: Maintain high standards for code health through rigorous version control (Git), documentation, and active participation in peer code reviews.

• Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline.
• 1‑4 years of professional experience developing software for robotic or complex electromechanical systems.
• Proficiency in Python and a strong command of software engineering fundamentals (e.g., modular design, Git, CI/CD).
• Practical understanding of robotics principles, including kinematics, coordinate transforms, and motion control.
• Experience working with hardware communication protocols and a “systems‑thinking” approach to debugging.
• Excellent communication and problem‑solving skills, with the ability to navigate the ambiguity of a fast‑paced startup.

• Hands‑on experience with robotics simulation environments for testing hardware interactions.
• Hands‑on…