Description
Robotics Software Intern
Team: Robotics Software
Location: San Francisco
Commitment: Intern
Workplace Type: onsite
Salary:
Actual base pay will be determined by several factors including: education, training, transferable skills, work experience, business needs, and location.
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.
About the Role
We are looking for Robotics Software Engineering Interns to join a highly collaborative team to deliver production ready software that will shape the future of personalized medicine and cell therapy manufacturing systems. This role is for you if you are a strong problem solver, motivated and hard-working student, and excited to experience what it’s like being an engineer at an early-stage startup.
Responsibilities include:
- Contribute to production-ready code for robotic platforms, helping to implement specific modules for hardware communication and system behaviors under the guidance of senior engineers.
- Design, build and deploy algorithms for motion control, trajectory planning, or sensor data processing; and perform data analysis to evaluate algorithm performance.
- Help build and maintain simulation environments for robot validation, writing unit and integration tests to improve the robustness of the codebase and support our CI/CD pipelines.
- Collaborate with mechanical and systems teams to help troubleshoot real-world issues on physical robots, assisting in data collection and bug reproduction during system-level testing.
- Participate in code reviews, document system architectures, and work closely with senior mentors to learn and apply industry-standard clean architecture and testing patterns.
Qualifications
- Currently working towards a Bachelor, Masters, or PhD degree in Robotics, Computer Science, or equivalent.
- Self-starter comfortable working in a fast paced, technically challenging startup environment.
- Strong background in: linear algebra, Python, data science, and robotics principles
- Strong communication skills that clearly express ideas and design details in meetings, team presentations, white board brainstorming sessions and in various technical documentation.
- Prioritize organization and detail orientation, with ability to handle multiple project and task assignments simultaneously.
- Passionate, curious, and eager to learn.
Nice to Haves
- Experience with robotic systems and robotics principles, including kinematics, dynamics, motion planning, and control theory.
- Experience with cloud technologies, specifically AWS.
- Industry experience with Python.
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