Software Engineer

About the role

Own and evolve the platform that orchestrates our automated synthesis lab — scheduling instruments, managing workflows, and tracking samples end-to-end
Build workflow orchestration for multi-step synthesis pipelines, including DAG execution, dependency resolution, and retry logic for long-running lab processes
Design and implement instrument scheduling systems that handle contention, prioritization, and batching across shared equipment with competing demands
Ensure complete data provenance — every sample, every action, every result is fully traceable with unambiguous lineage
Build the React interfaces that give scientists and lab operators visibility into experiment state, queue status, and system health
Work closely with infrastructure and lab engineering to keep systems reliable as we scale instrument count and experiment throughput
Identify bottlenecks in how science gets done and turn them into software before they become crises

Responsibilities

• Own and evolve the platform that orchestrates our automated synthesis lab — scheduling instruments, managing workflows, and tracking samples end-to-end
• Build workflow orchestration for multi-step synthesis pipelines, including DAG execution, dependency resolution, and retry logic for long-running lab processes
• Design and implement instrument scheduling systems that handle contention, prioritization, and batching across shared equipment with competing demands
• Ensure complete data provenance — every sample, every action, every result is fully traceable with unambiguous lineage
• Build the React interfaces that give scientists and lab operators visibility into experiment state, queue status, and system health
• Work closely with infrastructure and lab engineering to keep systems reliable as we scale instrument count and experiment throughput
• Identify bottlenecks in how science gets done and turn them into software before they become crises

Requirements

Experience With Building production MES, LIMS, ERP, or process control systems where correctness is non-negotiable
Workflow and DAG orchestration — designing execution graphs that are robust, inspectable, and recoverable
Concurrent systems: resource locking, scheduling, and contention handling across shared infrastructure
Data modeling for audit and provenance use cases, including event sourcing or append-only architectures
Full-stack development across Python, React, and cloud-native infrastructure (Kubernetes a plus)
Scheduling algorithms for shared resources with hard and soft constraints
Working in or alongside physical lab, manufacturing, or materials environments

Qualifications

Especially Strong Candidates May Also Have Direct experience in powder synthesis, ceramics, or materials manufacturing environments
Familiarity with laboratory instrumentation protocols and instrument communication standards
Experience with event sourcing or CQRS architectures at production scale

Skills

Production-grade software engineering skills
Experience with orchestration and automation systems
Strong problem-solving and debugging skills

Benefits

Well-funded and growing rapidly
Ownership and impact on scientific discovery

Pay

TBD

Schedule

TBD