Lilasciences
Software Engineer II, Lab Software
Cambridge, MA USA · Mid · Full-time
Sponsorship not specified$120k-$180kDetected 29 days ago
TypeScriptPythonReactTailwind CSSFastAPIBackend DevelopmentFull-Stack DevelopmentGitSQLNoSQLVector DatabasesAWSCloud PlatformsKubernetesTerraformCI/CDGitHub ActionsDevOpsTemporalMachine LearningAirflowData EngineeringRecruitingRobotics
About the role
- The Lab as Software Team (LaS) acts as the physical and virtual execution layer for Lila's AI-driven science.
- This connects the Lila App to AI Science Factories (AISFs), the mechanism through which experiments are dispatched to real instruments.
- Cross-Functional Collaboration: Work with ML researchers, engineers, and scientists to integrate data pipelines, APIs, and cloud infrastructure into scientific workflows.
Responsibilities
- Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
- Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
- Design & Build UI and APIs: Design and build high-performance, secure, and well-documented UI and APIs that integrate with AI-driven applications.
- Application Development: Drive the implementation of front-end and backend services, focusing on performance, maintainability, and reliability.
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- You must be strong in backend.
- Hands on experience using AI coding assistants to drive productivity is required.
- Communication & Collaboration: Acute listening skills, and a proven track record of working cross-functionally with scientists, data engineers, and product teams
- Problem Solving: Proven ability to take ownership of complex backend challenges, balancing trade-offs between scalability, performance, and maintainability.
- Lab Automation Experience: Experience with laboratory devices, robotics, or hardware drivers.
- Orchestration Systems: Experience with software orchestration platforms (Airflow, Prefect, Temporal, Dagster) and design patterns
- Cloud & DevOps Knowledge: Hands-on experience with AWS
- strong understanding of Kubernetes and containerization, infrastructure-as-code (Terraform, CloudFormation), and CI/CD pipelines (GitHub Actions)
- Your final offer will reflect your background, expertise, and expected impact.
Skills
- Your Impact at LILA
- Join us in shaping the future of science!
Compensation
- We offer competitive base compensation with bonus potential and generous early-stage equity.
- USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.
- Expected Base Salary Range
- $120,000 - $180,000 USD
Benefits
- Bonus Points For
- Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.
- U.S. Benefits.
- International Benefits.
Visa & Work Authorization
- al employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
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This listing is sourced directly from Lilasciences's careers page and normalized into a canonical job model.