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Lila Sciences

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

Lila Sciences · Cambridge, MA USA

Posted about 2 months ago

or apply directly on Lila Sciences's site. We never take the application ourselves.

Is this posting real?

This role has been open
72 days
Lila Sciences's roles stay open a median of 80 days
Reposted
No
Salary listed
No
0% of Lila Sciences's roles list one
Ghost-job risk at Lila Sciences
high
116 stale, 2 reposted of 118 open
Hiring momentum
155 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-22

Measured from postings appearing on and disappearing from Lila Sciences's own greenhouse board since 2026-08-03. Full hiring picture for Lila Sciences.

About this role

In this role, you will develop the back-end systems that manage scheduling and data for autonomous labs, ensuring efficient operation of robotics and reliable data for scientists. Your responsibilities include designing scheduling systems, building data management pipelines, and enabling data science through clean data delivery. You will also be involved in capacity planning and operating services on AWS with a focus on scalability and reliability.

Our read on this posting2.8out of 5
benefits
5/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Lila Sciences as an employer.

What you need

  • 4–8 years of back-end engineering experience with production services in Python (FastAPI) at scale
  • Experience in data engineering with pipelines on a workflow orchestrator such as Flyte, Temporal, or similar
  • Hands-on experience with SQL (PostgreSQL), object storage (S3), and data lakehouse architectures
  • Experience with cloud-native delivery using AWS EKS (Docker/ECR), Terraform, and GitHub Actions
  • Ability to take services from design through delivery, reliability, and iteration
  • Strong communication skills to explain technical tradeoffs to engineers, scientists, and business partners

Nice to have

  • Experience in systems engineering in regulated industries such as aerospace, manufacturing, or healthcare/life sciences
  • Exposure to robotics, lab automation, LIMS, or manufacturing/MES environments
  • Experience with job scheduling, resource allocation, or constraint/optimization problems
  • Knowledge of distributed compute (Ray), experiment tracking (Weights & Biases), or model serving
  • Familiarity with event-driven messaging systems like NATS or MQTT

What you get

  • Competitive base compensation with bonus potential
  • Generous early-stage equity
  • 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

Worth weighing

  • No specific mention of team size or structure, which may affect collaboration dynamics
  • The role involves complex systems in a regulated environment, which may require additional compliance knowledge
  • The technology stack includes both modern and potentially legacy components, depending on existing systems

Summarised from Lila Sciences's posting. Read the full original.

Listed by Lila Sciences on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.

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