Senior / Staff Software Engineer

Multiply Labs•San Francisco, CA

3d•$160,000 - $210,000

About The Position

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.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.