Senior Software Engineer I/II, Back-end/Data, Robotics

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 144,000 - 240,000 annuallyFunction: Software EngineeringExperience: 4-8 yearsSkills: ["End-to-end ownership","Collaboration","Communicating technical tradeoffs","Reliability","Iteration"]

Build back-end and data foundations for autonomous labs: design scheduling systems (durable workflows), model digital twins, and create governed data pipelines from raw experimental output into queryable stores. Own batch and event-driven pipelines, capacity planning services, and scale-ready operations on AWS using EKS, Docker/ECR, Terraform, and GitHub Actions. Collaborate with scientists and engineers to deliver reliable systems that improve robot efficiency and data trust.

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Lila Sciences
Lila Sciences
1 day ago

Senior Software Engineer I/II, Back-end/Data, Robotics

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build back-end and data foundations for autonomous labs: design scheduling systems (durable workflows), model digital twins, and create governed data pipelines from raw experimental output into queryable stores. Own batch and event-driven pipelines, capacity planning services, and scale-ready operations on AWS using EKS, Docker/ECR, Terraform, and GitHub Actions. Collaborate with scientists and engineers to deliver reliable systems that improve robot efficiency and data trust.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Design scheduling systems to allocate experiments, instruments, and compute across autonomous labs using durable workflows.
  • •Stand up digital-twin data layers to help teams predict factory behavior before committing resources.
  • •Build technical data management pipelines (Flyte, S3 lakehouse, PostgreSQL models) that transform instrument output into governed data.
  • •Enable data science by delivering batch and event-driven pipelines that provide clean data for scientists and models.
  • •Deliver customer-facing capacity planning services and operate services at scale on AWS EKS using Docker/ECR, Terraform, and GitHub Actions.

Pay and Benefits

Salary: USD 144,000 - 240,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid ParentalLearning BudgetCommuter BenefitsMeal Allowance

Key Requirements

  • •4–8 years of back-end engineering delivering production services in Python (FastAPI) at scale.
  • •Experience with data engineering using a workflow orchestrator such as Flyte or Temporal.
  • •Hands-on data modeling across stores, including SQL (PostgreSQL), S3, and data lakehouse architectures.
  • •Cloud-native delivery with containers, infrastructure as code, and CI/CD—ideally AWS EKS with Docker/ECR, Terraform, and GitHub Actions.
  • •Ability to take services end-to-end from design through delivery, reliability, and iteration.
Experience:4-8 yearsRoboticsLab automationData engineeringData pipelinesData modeling
Skills:End-to-end ownershipCollaborationCommunicating technical tradeoffsReliabilityIteration
Languages:English
Tech Stack:PythonFastAPIFlyteTemporalPostgreSQLSQLS3AWSEKSDockerECRTerraformGitHub ActionsRayWeights & BiasesNATSMQTT

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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