About the job
Your Impact at Lila Sciences
Lila Sciences is in search of an experienced and proactive Senior Automated Systems Engineer to spearhead the design, development, and implementation of innovative automation solutions across various laboratory workflows. This pivotal role, reporting to the Automated Systems Engineering Lead, focuses on creating scalable, high-throughput automated workcells that effectively translate scientific objectives into dependable, real-world systems.
As an integral member of our team, you will collaborate closely with scientists, hardware, controls, and software teams to define project scope, ensure interface alignment, and guide projects from conception through to deployment. You will work in partnership with scientific stakeholders to shape the technical direction of experimental automation in a dynamic research environment.
Your Contributions
- Engage in hands-on development, testing, and implementation of automated workflows within the laboratory.
- Engineer scalable automated solutions tailored for synthesis and characterization workflows, catering to a diverse array of material systems including porous materials, catalysts, coatings, and advanced composites.
- Establish and document standardized laboratory workflows, operating procedures, and system architectures to promote reproducibility and scalability.
- Lead and participate in equipment and system-level Failure Mode and Effects Analyses (FMEAs) to enhance robustness and operational safety.
- Assist in troubleshooting and optimizing automated systems to maximize throughput, reliability, and adaptability across various workflows.
- Design failure detection methodologies and maintain laboratory automation systems to ensure robust operations.
Project Innovation
- Convert scientific goals into well-defined technical requirements and automation architectures.
- Serve as a liaison among science, hardware, controls, and software to ensure clarity in interfaces and cohesiveness in solutions.
- Investigate and incorporate emerging technologies, such as machine vision and advanced sensors, to boost automation capabilities.
- Ensure that automation solutions adhere to safety, quality, and regulatory standards.

