Senior / Staff Robotics Software Engineer

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. Why This Matters: 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 Stack & The Scale: 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. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About The Role 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 Qualifications 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 Nice to Haves 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) Total Rewards & Life at Multiply Labs Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early‑stage equity. We want our team to have a real stake in the future we’re building Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents Wealth Building: 401(k) with a 4% company match to help you plan for the long term Pre‑Tax Commuter Benefit: Pay for eligible transit and parking with pre‑tax dollars to save on commuting costs Parental Support: Robust Paid Parental Leave to support your family’s newest additions True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes - not hours logged Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events H‑1B and Green Card sponsorship available for exceptional talent Referral bonuses for helping us build a world‑class team Great people, meaningful work, and a team that genuinely believes in what we're building Come build the world’s best robots—and help make life‑saving therapies accessible to all. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply—even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5‑10% of domestic and international travel. 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. #J-18808-Ljbffr Multiply Labs