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Mid LevelFull-timePythonReactKubernetesAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Manufacturing Execution Systems Developer to join Periodic Labs, an AI + physical sciences lab focused on novel scientific discoveries. This role involves building and scaling MES systems for an automated materials synthesis lab.
Key Responsibilities
- →Build and scale Manufacturing Execution Systems (MES) for automated materials synthesis
- →Develop scheduling, workflow, and data provenance systems for coordinating instruments
- →Create workflow orchestration for multi-step synthesis pipelines
- →Build instrument scheduling systems for shared equipment
- →Ensure complete lineage tracking for every sample action
- →Work across the stack including Python backend, React frontend, and Kubernetes infrastructure
Requirements
- ✓Experience building production MES, LIMS, ERP, or process control systems
- ✓Knowledge of workflow/DAG orchestration
- ✓Data modeling for audit and provenance use cases
- ✓Understanding of concurrent systems: resource locking, scheduling, contention handling
- ✓Experience in powder synthesis, ceramics, or materials manufacturing environments
- ✓Familiarity with scheduling algorithms for shared resources with constraints
- ✓Experience with event sourcing or append-only data architectures
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About Periodic Labs
Periodic Labs is a specialized technology company focused on data analytics and scientific computing solutions. Operating at the intersection of chemistry and information technology, the company leverages computational methods to solve complex problems in research and industry. The name "Periodic Labs" suggests a foundation in chemical or material science applications, likely established to bridge the gap between theoretical research and practical technological implementation. While the exact founding date and location are not specified, the company's domain implies a global or digital-first approach, catering to clients who require precision and innovation in data-driven scientific fields. Periodic Labs offers a suite of products and services designed to enhance data analysis, modeling, and simulation for scientific and industrial applications. Their solutions may include custom software development, machine learning algorithms tailored for chemical and material data, and high-performance computing services. Key features likely emphasize accuracy, scalability, and integration with existing research workflows. The target audience includes academic researchers, pharmaceutical companies, materials scientists, and industries reliant on precise data interpretation, such as environmental science or energy sectors. The company’s offerings are designed to streamline experimentation, accelerate discovery, and optimize processes through advanced computational techniques. Notable achievements for Periodic Labs may include collaborations with leading research institutions or the development of proprietary tools that have set industry benchmarks. Their market position is likely strengthened by a team of experts with interdisciplinary expertise in chemistry, physics, and computer science. A unique value proposition could be their ability to translate complex scientific principles into actionable insights, enabling clients to make data-backed decisions with confidence. By combining rigorous scientific methodology with cutting-edge technology, Periodic Labs distinguishes itself as a trusted partner for organizations seeking to harness the power of data in the pursuit of innovation.
