L

Lila Sciences

AI-powered scientific discovery for medicines

SCADA Engineer Co-op

Site Reliability EngineeringConfirmed live in the last 24 hours
Internship · Spring 2027Cambridge, MA, USANo salary listed

About the Job

Requirements

  • 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.
  • Proficient in Python for scripting and data collection.
  • Comfortable working in Linux from the command line.
  • Working knowledge of networking fundamentals, including IP addressing, subnets, ports, and routing.
  • Clear written communication for documenting dashboards and findings.

Responsibilities

  • Build a live topology view of edge nodes, brokers, gateways, and databases with per-link status and last-seen timestamps.
  • Surface RDS PostgreSQL health, including 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, including CloudWatch, Performance Insights, Ignition gateway metrics, and broker status, into one interface.
  • Document the setup so the team can extend and maintain it after the term ends.

Desired Qualifications

  • 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 the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

Recently Posted Jobs

Explore more opportunities at Lila Sciences

See more jobs