Senior / Staff Robotics Software Engineer at Multiply Labs

Multiply Labs is a cutting-edge startup based in San Francisco, California, supported by top-tier tech and life science investors such as Casdin Capital, Lux Capital, and Y Combinator. We are revolutionizing the manufacturing of cell therapies by developing advanced robotic systems designed to automate and scale the production of these life-saving treatments. Our robots empower biopharma companies to produce cell therapies at scale without significantly changing their existing processes, reducing regulatory barriers and risks. While traditional approaches are time-consuming and lead to extremely high costs for patients (typically $1M+ per patient), using robotics can make these transformative treatments more accessible and affordable to patients in need.

To learn more and to view a video of our robots in action, visit us at Multiply Labs and follow us on LinkedIn. You can also read our latest peer-reviewed study, which highlights the statistical equivalence between manual and automated cell expansion processes, at cytotherapy.org.

As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you ll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.

Responsibilities include:

• System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors.
• Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors.
• Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness.
• Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges.
• Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.

• Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related discipline.
• 5+ years of professional experience developing software for robotic or complex electromechanical systems.
• Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD).
• Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory.
• Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps.
• Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.

• Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet).
• Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning).
• Experience working in a regulated industry (e.g., GxP, ISO standards).

• 401K with 4% company match
• Health Insurance
• Dental Insurance
• Vision Insurance
• Life Insurance
• Partial Health Insurance for Child Dependents
• HSA or FSA
• Twice weekly catered lunch (for team members in SF office)
• Pre-tax Commuter Benefit
• 10 Paid Holidays
• Flexible PTO
• Paid Parental Leave

Multiply Labs will review the benefit offerings periodically and the benefit options are subject to change to meet employee and business needs.

• While our headquarters is located in San Francisco, CA, this position will require up to 5-10% domestic and international travel.

$160,000 - $210,000 a year

Multiply Labs is an early-stage startup where equity is a major part of the compensation package. Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location.

We take pride in cultivating an environment that fosters collaboration, open communication, and authenticity. We are an equal opportunity employer; we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are diverse in background and singular in mission.