The Role
As a Senior Software Engineer, you will lead the development of software for automated manufacturing systems, focusing on scheduling, resource allocation, and ensuring continuity during hardware interruptions.
Summary Generated by Built In
About 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 www.multiplylabs.com 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.
About the Role
As a senior member of our 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:
- Scheduler Development: Implement and optimize sophisticated algorithms for multi-day, multi-agent scheduling. You will maximize throughput and prevent deadlocks in a shared-resource environment with variable execution times.
- Resource Allocation: Develop logic to intelligently manage shared resources (e.g., incubators, liquid handlers) across parallel manufacturing batches.
- Distributed Systems Design: Architect and implement the software layer that manages the state and coordination of a multi-robot cluster.
- Resilient Orchestration: Design logic to maintain production continuity during hardware interruptions. You will implement mechanisms to isolate specific failures, ensuring that unaffected batches continue processing while the affected resources are addressed.
- Cloud-Cluster Connectivity: Implement the communication layer connecting on-premise robotic clusters with our AWS backend, focusing on reliable state synchronization and data persistence.
- Simulation & Testing: Build fast, discrete-event simulations to validate scheduling logic and throughput assumptions before code hits physical hardware.
- CI/CD & DevOps: Maintain and improve automated integration test suites to ensure the reliability of complex, non-deterministic systems.
- Mentorship: Mentor junior engineers, conduct code reviews, and champion software engineering best practices (clean architecture, testing patterns) to elevate the team.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- 5+ years of professional experience in software engineering, with a focus on backend systems, distributed systems, or complex logic.
- Expertise in Python and a strong command of software engineering fundamentals (e.g., system design, concurrency patterns, distributed architecture).
- Strong ability to implement complex logic and search algorithms (e.g., DFS/BFS, graph traversal, constraint satisfaction). You don't need prior robotics experience, but you must be excited to solve hard optimization problems.
- Excellent communication and problem-solving skills, with the ability to translate complex biological process requirements into software logic.
- Comfortable working in a fast-paced, technically challenging startup environment. Ability to balance context switching between multiple projects.
Additional Qualifications – Considered a plus:
- Hands-on experience with AWS (Lambda, IoT Core, DynamoDB) and container orchestration.
- Familiarity with interfacing with hardware or instruments via standard protocols (TCP/IP, WebSocket, REST, Serial).
- Deep comfort working in Linux environments, including networking configuration, systemd services, and shell scripting.
- Experience implementing monitoring and alerting for distributed systems.
Benefits
- 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.
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.
Top Skills
AWS
Python
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The Company
What We Do
Multiply Labs develops advanced robotic systems that manufacture individualized drugs at scale. Our products are enabled by the combination of pharmaceutical science with robotics technology.
Multiply Labs has built and operates a unique robotic pharmaceutical manufacturing facility in San Francisco.
