Lilasciences

Lilasciences

Staff Software Engineer, Lab Software

Cambridge, MA USA · Staff+ · Full-time

Sponsorship not specified$192k-$256kDetected 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. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.
  • 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. Your final offer will reflect your background, expertise, and expected impact.
  • International Benefits. Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions
  • Expected Base Salary Range
  • $192,000 - $256,000 USD
  • USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.

Benefits

  • Bonus Points For
  • U.S. Benefits.
  • Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage
  • employer-paid life and disability insurance
  • flexible time off with generous company wide holidays
  • paid parental leave
  • an educational assistance program
  • commuter benefits, including bike share memberships for office based employees
  • International Benefits.
  • Full-time employees outside the U.S. receive a comprehensive benefits program tailored to their region.

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.