Senior / Staff Software Engineer

The role

You will lead the design and development of core systems that power autonomous research agents. You will build reliable backend infrastructure and production systems to support large-scale AI experimentation and research workflows.

What you will do

• Lead the design and implementation of core backend and infrastructure systems
• Own projects from architecture and design through production deployment
• Write clear technical design documents and drive engineering decisions
• Build and maintain 24/7 production systems supporting autonomous research agents
• Partner closely with research teams to productionize experimental workflows
• Guide and collaborate with engineers on system design and implementation
• Improve system reliability, scalability, and observability
• Help shape the technical direction of the platform

Required qualifications

• Experience leading complex engineering projects or technical initiatives
• Experience acting as a technical lead or guiding small teams of engineers
• Strong software design and architecture skills
• Demonstrable experience writing clear technical design documents
• Strong experience with Python
• Experience building or operating backend or production infrastructure
• Experience working in 24/7 production environments
• Experience with Google Cloud Platform (GCP) or similar cloud infrastructure
• Strong understanding of software evolution, maintainability, and system design tradeoffs
• Ability to collaborate effectively with both engineers and researchers
• Bachelor’s degree in Computer Science, Mathematics, or a related field

Nice to have

• 5+ years of experience building and operating production software systems, including ownership of projects from design through deployment

Benefits

• Comp is competitive against major LLM frontier lab packages
• Unlimited PTO
• Flexible working arrangements
• Conference attendance and publication support

About the company

Autoscience Institute automates AI research. They work to push the boundaries of artificial intelligence and contribute to advancements in the field.