Software Engineer (MES)

Periodic LabsMenlo Park, CA
1d

About The Position

You will build, and scale the Manufacturing Execution Systems (MES) that orchestrate our automated materials synthesis lab. You will own the scheduling, workflow, and data provenance systems that coordinate dozens of instruments—furnaces, dispensers, diffractometers, and more—to synthesize novel materials at scale. You will build workflow orchestration for multi-step synthesis pipelines and instrument scheduling systems that handle contention, priorities, and batching across shared equipment. You will ensure every sample action is fully attributable with complete lineage tracking. You will work across the stack—Python backend, React frontend, Kubernetes infrastructure—to build systems that run reliably in production with minimal intervention. You will work closely with the engineering lead to scale our lab automation platform as we grow instrument count and experiment throughput.

Nice To Haves

  • Building production MES, LIMS, ERP, or process control systems with high correctness requirements
  • Workflow/DAG orchestration
  • Data modeling for audit and provenance use cases
  • Concurrent systems: resource locking, scheduling, contention handling
  • Powder synthesis, ceramics, or materials manufacturing environments
  • Scheduling algorithms for shared resources with constraints
  • Event sourcing or append-only data architectures

Responsibilities

  • Build and scale the Manufacturing Execution Systems (MES) that orchestrate our automated materials synthesis lab.
  • Own the scheduling, workflow, and data provenance systems that coordinate instruments to synthesize novel materials at scale.
  • Build workflow orchestration for multi-step synthesis pipelines and instrument scheduling systems.
  • Ensure every sample action is fully attributable with complete lineage tracking.
  • Work across the stack—Python backend, React frontend, Kubernetes infrastructure—to build systems that run reliably in production with minimal intervention.
  • Work closely with the engineering lead to scale our lab automation platform as we grow instrument count and experiment throughput.
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