Lila Sciences
Staff/ Principal Software Engineer, Scientific System of Record
$204K–$310K
Cambridge, MA USA +2 · Principal · Full-time · Posted Mar 23, 2026
- Location
- Cambridge, MA USA
San Francisco, CA USA
Alewife, Cambridge, MA - Experience
- 8–15 years of engineering experience building and deploying large-scale systems in production.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
About the job
Leads architecture and development of an AI-driven scientific platform connecting experiment planning, lab execution, data capture, and analysis.
What you'll do
- Set technical direction for scientific system-of-record and lab-execution capabilities, including workflows, data models, APIs, and infrastructure.
- Build reliable, scalable systems and interfaces supporting scientists, automation, ML workflows, and AI applications.
- Partner across technical and scientific teams, mentor engineers, and guide architecture and engineering practices.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 8–15 years of experience building and deploying large-scale production systems; strong in front-end or backend engineering.
- Experience with React and TypeScript, scalable architecture and APIs, and SQL plus at least one of NoSQL, vector databases, graph databases, search systems, or data lakehouse architectures.
- Experience in scientific or data-intensive domains and production operations; hands-on use of AI coding assistants or AI-augmented engineering workflows.
Nice to have
- Python experience; orchestration tools such as Airflow, Prefect, Temporal, or Dagster; or scientific/ML libraries such as pandas, numpy, scipy, jax, or pytorch.
- Experience designing systems for auditability, traceability, reproducibility, data provenance, or regulated workflows.
Pay
$204,000 — $310,000 USD (base salary)
Tools
TypeScript, React, Python, SQL, NoSQL, Airflow, Prefect, Temporal
AI focus
Builds an AI-driven scientific platform integrating AI frameworks and applications with scientific workflows and analytics; the role also uses AI coding assistants or AI-augmented engineering workflows.
Model-written summary · the original posting is authoritative