Senior Backend Engineer, Robotics Data & Scheduling

Lila Sciences; Cambridge (MA); On-site; USD 163,000 - 240,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Flexible time off

Job summary

Lila Sciences is seeking a backend engineer to build the data foundations of scheduling systems across autonomous labs, modeling them as digital twins, and turning raw experimental outputs into trustworthy data. You will own core services used daily by scientists, operators, and engineers to run robots efficiently and trust their data.

The role involves designing scheduling systems, modeling digital twins, and managing data pipelines on a scalable cloud-native stack with Flyte/Temporal,

Qualifications

• 4–8 years of back-end engineering: production services in Python (FastAPI) at scale.
• Experience with data pipelines and data modeling in SQL/PostgreSQL.
• Cloud-native delivery using containers and IaC with CI/CD.
• End-to-end ownership of services from design through delivery and reliability.
• Ability to communicate tradeoffs clearly with engineers, scientists, and business partners.

Responsibilities

• Design scheduling systems to allocate experiments, instruments, and compute across autonomous labs.
• Model digital twins and the data layer to predict factory behavior before resource commitment.
• Own Flyte pipelines, S3 lakehouse, and PostgreSQL models for governed data.
• Build batch and event-driven pipelines to provide clean data to scientists and models.
• Deliver capacity planning services for forecasting factory capacity.
• Operate at scale using AWS EKS, Docker/ECR, Terraform, and GitHub Actions.

Skills

Python

FastAPI

Flyte/Temporal

PostgreSQL

AWS EKS

Docker

Terraform

GitHub Actions

Tools

Docker

ECR

Terraform

GitHub Actions

Flyte

Job description

Lila Sciences is seeking a backend engineer to build the data foundations of scheduling systems across autonomous labs, modeling them as digital twins, and turning raw experimental outputs into trustworthy data. You will own core services used daily by scientists, operators, and engineers to run robots efficiently and trust their data.

The role involves designing scheduling systems, modeling digital twins, and managing data pipelines on a scalable cloud-native stack with Flyte/Temporal,