Co-Op, SCADA Engineer at Lila Sciences

Your Impact at LILA

Lila's SCADA system spans cloud and on-premise infrastructure: Ignition gateways on EC2, a historian on RDS PostgreSQL, MQTT brokers, and edge nodes at each site. Today no single view shows the health of all of it, so the team learns about failures from users rather than from monitoring.

As a co-op on the Hardware & Controls Engineering team, you will build that view: a live connectivity diagram showing how every piece connects and which links are up, backed by dashboards covering database, gateway, and edge node health. The work is read-only end to end, with read-only AWS access and SELECT-only database access, so you can explore the full system safely.

You will be based at our Alewife site in Cambridge, working alongside controls engineers and the IT/OT team. Expect wide exposure across AWS, Linux, industrial networking, Ignition, and data visualization, and a clear picture of how an industrial SCADA system fits together end to end.

What You'll Be Building

Build a live topology view of edge nodes, brokers, gateways, and databases with per-link status and last-seen timestamps
Surface RDS PostgreSQL health: CPU, memory, storage growth, connection counts, replication lag, and slow queries
Dashboard Ignition gateway and EC2 metrics, including JVM heap, tag quality, Sparkplug birth and death rates, and scan timing
Monitor on-premise edge nodes for reachability, uptime, resource use, and last publish time
Integrate existing sources (CloudWatch, Performance Insights, Ignition gateway metrics, broker status) into one interface
Document the setup so the team can extend and maintain it after the term ends

What You'll Need to Succeed

Pursuing a bachelor's or master's degree in engineering, computer science, or a related field
Available full time for the Spring 2027 co-op term, on-site at Alewife
Proficiency in Python for scripting and data collection
Comfortable working in Linux from the command line
Working knowledge of networking fundamentals: IP addressing, subnets, ports, and routing
Clear written communication for documenting dashboards and findings

Bonus Points For

Exposure to AWS, particularly EC2, RDS, CloudWatch, or IAM
Experience with Grafana, Prometheus, or similar observability tooling
Familiarity with Ignition, MQTT or Sparkplug, or other industrial SCADA tooling
JavaScript or React, useful for building inside Ignition Perspective

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.

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.

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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.