Software Engineer

Periodic Labs; Menlo Park (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Periodic Labs, located in Menlo Park, CA, seeks an experienced engineer to design and scale Manufacturing Execution Systems (MES) and workflow orchestration for our automated materials synthesis lab. You will own scheduling, data provenance, and multi-instrument orchestration across furnaces, dispensers, diffractometers, and more.

Working across the stack—Python backend, React frontend, and Kubernetes infrastructure—you will build production-grade systems that run reliably with minimal

Qualifications

• You will build and scale MES/LIMS/ERP or process control systems with high correctness requirements.
• Experience with workflow orchestration and data provenance.
• Knowledge of concurrent systems and resource scheduling.

Responsibilities

• You will build and scale MES/LIMS/ERP, or process control systems across instruments.
• Own scheduling, workflow, and data provenance for multi-instrument orchestration.
• Develop flow orchestration for multi-step synthesis and instrument scheduling.
• Ensure complete lineage tracking for every sample action.
• Collaborate on Python backend, React frontend, and Kubernetes infra for production systems.

Skills

MES systems

Workflow orchestration

Data provenance

Python backend

Kubernetes

Tools

React frontend

Kubernetes infrastructure

Python

Job description

Location

Menlo Park

Employment Type

Full time

Location Type

On-site

Department

Atoms: Lab, physics, chemistry, etc.

About Periodic Labs

We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identify and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission.

About the Role

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.

You might thrive in this role if you have experience with:

• 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