{"id":3530907,"url":"https://alion.io/job/lila-sciences-co-op-scada-engineer","title":"Co-Op, SCADA Engineer","company":{"id":65163,"name":"Lila Sciences","domain":"lila.ai","url":"https://alion.io/company/lila-ai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":39,"ghost_share":0,"stale_share":0.308,"repost_share":0,"time_to_fill_p50_days":85,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cambridge, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":88000,"max_usd":206000,"period":"year","method":"role_country_seniority_unknown","sample_n":15150},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EC2","optional":false},{"name":"AWS","optional":false},{"name":"Linux","optional":false},{"name":"MQTT","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Grafana","optional":true},{"name":"IAM","optional":true},{"name":"JavaScript","optional":true},{"name":"Prometheus","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-10-30T12:35:36Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-11-04T00:37:41Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Your Impact at LILA\nLila'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.\nAs 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.\nYou 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.\nWhat You'll Be Building\nBuild a live topology view of edge nodes, brokers, gateways, and databases with per-link status and last-seen timestamps\nSurface RDS PostgreSQL health: CPU, memory, storage growth, connection counts, replication lag, and slow queries\nDashboard Ignition gateway and EC2 metrics, including JVM heap, tag quality, Sparkplug birth and death rates, and scan timing\nMonitor on-premise edge nodes for reachability, uptime, resource use, and last publish time\nIntegrate existing sources (CloudWatch, Performance Insights, Ignition gateway metrics, broker status) into one interface\nDocument the setup so the team can extend and maintain it after the term ends\nWhat You'll Need to Succeed\nPursuing a bachelor's or master's degree in engineering, computer science, or a related field\nAvailable full time for the Spring 2027 co-op term, on-site at Alewife\nProficiency in Python for scripting and data collection\nComfortable working in Linux from the command line\nWorking knowledge of networking fundamentals: IP addressing, subnets, ports, and routing\nClear written communication for documenting dashboards and findings\nBonus Points For\nExposure to AWS, particularly EC2, RDS, CloudWatch, or IAM\nExperience with Grafana, Prometheus, or similar observability tooling\nFamiliarity with Ignition, MQTT or Sparkplug, or other industrial SCADA tooling\nJavaScript or React, useful for building inside Ignition Perspective\nAbout LILA\nLila 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.\nLILA 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.\nGuided 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.\nWe’re All In\nLila 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.\nInformation you provide during your application process will be handled in accordance with our Candidate Privacy Policy.\nA Note to Agencies\nLila 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. 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