Automated Systems Engineer at lilasciences

Compensation

$118,800 – $182,400/yr

Location: Cambridge, Minnesota
Type: Full-time
Level: not_specified
Posted: Aug 7, 2026

Description

Lila Sciences is looking for an experienced Automated Systems Engineer to create and deploy automation solutions for various laboratory workflows. This role involves designing scalable, high-throughput automated workcells, collaborating with scientific and engineering teams, and contributing to project innovation. The engineer will focus on translating scientific goals into technical requirements, integrating emerging technologies, and ensuring compliance with safety and regulatory standards.

Required Skills

Python programming
API integration
error handling
CAD design
rapid prototyping
3D printing
hardware systems
electrical wiring
sensors
liquid/gas plumbing
PID controllers
critical thinking skills
attention to detail
communication skills
interpersonal skills
experimental systems
vacuum
laser
furnace
electrochemical experimentation
machine vision applications
robotics control algorithms
AI-driven decision-making
technical teams

Additional Information

Required Previous Experiences: Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings.
Prior experience leading technical teams in a fast-paced R&D environment.
Preferred Qualifications: Understanding of Python programming, including API integration and error handling.
Understanding of CAD design and rapid prototyping, including 3D printing.
Hands-on experience with hardware systems, including electrical wiring, sensors, liquid/gas plumbing, and PID controllers.
Strong critical thinking skills, attention to detail, and ability to work collaboratively in a dynamic environment.
Excellent communication and interpersonal skills, with the ability to convey technical concepts clearly to diverse audiences.
Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation.
Knowledge of machine vision applications and robotics control algorithms.
Proven ability to integrate hardware and controls systems with automation workflows.
Understanding of AI-driven decision-making in research automation.