Co-Op, SCADA Engineer
- Level
- Intern
Not stated in the posting: salary, work type, visa.
Open. First seen 30 October 2026.
About the role
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
Lila Sciences's standard text
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.
Lila Sciences's standard text
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.
What this role asks for
Standard for software engineering roles
Python
Common in software engineering postings at any company.
64% of this description is written for the role. The rest is Lila Sciences's standard text, folded away below.
Compared with Lila Sciences's other open jobs.
The team: Autonomous Science Platform HIRES STEADILY
This role is one of 13 open in Autonomous Science Platform. 6 were posted in the last 30 days and the oldest in January: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Python (9 of 13), MQTT (3 of 13), SolidWorks (3 of 13), C++ (2 of 13), MATLAB (2 of 13)
OTHER ROLES ON THIS TEAM
- Automation Engineer I/II, Sustaining Engineering & Lab Operations posted Nov 2
- Co-Op, Materials Science, Heterogeneous Catalysis posted Oct 26
- Co-op, Mechatronics Engineer posted Oct 26
- Co-Op, Automated Systems Engineer posted Oct 26
- Platform Scientist I/II, Functional Materials Instrumentation posted Oct 6
- Engineer I, Research Operations, (1st shift) posted Sep 30
- Scientist II, Silicon Photonics posted Sep 15
- Senior II/Staff Mechatronics Engineer posted Aug 6
- Controls Engineer II, Sustaining Engineering posted Jul 20
- Technical Program Manager, AISF posted Jul 9
- Staff / Principal Automated Systems Engineer posted Jan 28
- Senior Automated Systems Engineer posted Jan 23
From the team and dates on Lila Sciences's own job board.
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