Software Engineer

Highlights

• Build backend systems powering an AI-native physical science lab.
• Schedule large simulation workloads and orchestrate shared lab equipment.
• Turn scientific intent into reliable, inspectable experiment execution.

What they offer

• Equity

Ideal candidate

Strong backend engineer who reasons clearly about complex distributed systems and cares about reliability. You thrive turning ambiguous scientific workflows into robust production systems alongside scientists.

Requirements

• Bachelor's degree or similar experience
• Strong software engineering fundamentals and track record building production backend or distributed systems
• Experience with asynchronous or long-running work such as batch jobs, workflow orchestration, data pipelines, schedulers, or shared-resource systems
• Ability to reason clearly about concurrency, idempotency, partial failures, consistency, and resource contention
• Experience designing maintainable APIs and data models for complex systems
• Strong debugging skills across services, infrastructure, dependencies, and data
• Comfort working with technical collaborators to turn ambiguous needs into reliable systems