Platform Engineer I/II

Your Impact at Lila

We're seeking an engineer to build the infrastructure that powers our AI Science Factory (AISF™). You'll integrate the lab with the cloud and build the tools that let our team ship robotic experiments in keystrokes. This role is about making things work in the real world—one day you're deploying a web app to AWS, the next you're figuring out why computers in the lab can't reach it. You'll work with a small team where at-a-minimum tested code matters, version 0.0.X is home for now. This role is 60% cloud packaged code development, 40% watching it fail in the lab and debugging next to the machine. While this role is titled Platform Engineer, we need someone who jumps into any engineering challenge that arises—we'll push you to grow across the full engineering stack as the team and product evolve.

What You'll Be Building

• Build and deploy applications to production—ship MVPs to AWS, iterate based on real usage
• Debug infrastructure problems in distributed systems: networking, containers, firewalls, private network access
• Help deploy tested packaged libraries to help the team solve problems fast.
• Create simple abstractions that make the whole team more productive fixing and pushing code fixes from the lab.
• Enable all teammates through pair programming, git basics, and tooling that works

What You’ll Need to Succeed

• Bachelor's degree in Computer Science, Computer Engineering, or related field (recent grads welcome)
• Strong CS fundamentals and curiosity about how systems work from application to network layer
• Comfortable with version control (git), command line tools, and debugging methodologies
• Self-motivated team player who values collaboration and doesn't stop at "it doesn't work"
• Bias toward shipping, learning by doing, and iterating based on real feedback

Bonus Points For

• Programming: The language shouldn't matter; change data into data, build tools, automate tasks, write maintainable code, understand interpreted and compiled.
• Testing: Writing unit tests, integration tests, understanding why tests enable velocity
• Git & Workflows: Branching, merging, pull requests, keeping clean history—teaching others the essentials
• Cloud/Infrastructure: Basic deployments, containers, networking fundamentals (TCP/IP, DNS, HTTP)
• Debugging: Reading logs, tracing requests, isolating problems, figuring out why things break

About Lila

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.

Compensation

We expect the base salary for this role to fall between $76,000–$125,000 USD per year, along with bonus potential and generous early equity. The final offer will reflect your unique background, expertise, and impact.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.