Your Impact at Lila
We're seeking a systems-level engineer to build the software foundation for our AI Science Factory (AISF™). You'll work alongside mechatronics and computer engineers to implement scheduling systems that orchestrate physical lab equipment. While managing Windows fleet deployments that power the entire operation. This role is 60% low-level systems work, 40% watching scheduling algorithms move robots correctly in the real world. One day you're automating PC deployments, the next you're implementing scheduling algorithms inspired by kernels to coordinate devices. While this role is titled Computer Engineer, we need someone who jumps into any engineering challenge that arises. If you're a jack of all trades now, expect to become an almost master of all trades in the future—we'll push you to grow across the full engineering stack as the team and product evolve.
What You'll Be Building
- Build scheduling systems that orchestrate lab automation equipment using OS-level concepts
- Manage Windows fleet deployments—imaging, automation, maintenance of the PCs that run the lab
- Debug low-level systems problems that affect the entire operation—you dig deep when Google doesn't have answers
- Write PowerShell automation that makes the team more productive
- Collaborate across the stack—from OS internals to real robots moving in physical space
What You’ll Need To Succeed
- Bachelor's degree in Computer Science, Computer Engineering, or related field (recent grads welcome)
- Understanding of some operating systems concepts: scheduling, processes, concurrency, resource allocation
- Proficiency with PowerShell scripting (non-negotiable—until we change the world we live here.)
- Ability to debug problems methodically when documentation doesn't exist
- Self-motivated team player who values collaboration and building genuine relationships with colleagues
Bonus Points For
- PowerShell: Writing scripts, automation, Windows APIs, cmdlets, pipelines—fluency required
- Windows Fundamentals: User management, services, registry, Event Viewer, debugging boot failures
- OS Concepts: Process scheduling, threading, resource allocation, deadlocks (your OS course material, applied)
- Scripting/Programming: Python, C/C++, or similar for automation and tool building
- Version Control & Debugging: Git basics plus isolating problems, reading error messages, effective logging
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.
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.
