Software Engineer I, Elixir (New Grad)

Denver, COfull timeOn SiteentryH1B: no

Trueanomalyinc Software Engineer I, Elixir (New Grad) at True Anomaly analyzes spacecraft manufacturing and mission telemetry data to identify anomalies and build predictive models. This entry-level role supports hardware production and spacecraft operations through data science techniques.

Responsibilities

Perform exploratory data analysis on manufacturing telemetry, test logs, mission data, and on-orbit spacecraft health telemetry to identify patterns and surface anomalies
Build operational dashboards in Grafana or Plotly Dash showing real-time production status, spacecraft health metrics, mission performance, and anomaly alerts
Train basic predictive models (logistic regression, random forests) to flag at-risk components during manufacturing and predict spacecraft health degradation during missions
Write SQL queries to extract, join, and aggregate data from manufacturing databases, test systems, mission telemetry streams, and spacecraft health archives
Analyze test failures and on-orbit anomalies to identify common failure modes, cluster similar issues, and quantify impact on schedule and mission success
Create data visualizations (matplotlib, seaborn, Plotly) that communicate findings to engineers, manufacturing leads, mission operators, and program managers
Implement statistical process control charts to detect out-of-spec conditions in manufacturing processes and spacecraft telemetry before they cascade
Monitor on-orbit telemetry streams for anomalies: battery voltage trends, thermal behavior, attitude control health, communications link quality

Qualification

Proficiency in Python for data analysisCoursework in statisticsDebugging mindsetEagerness to learn manufacturingFamiliarity with time-series analysisExposure to data visualization tools

Required

Bachelor's or Master's degree in data science, statistics, industrial engineering, applied mathematics, operations research, or related quantitative field
Proficiency in Python for data analysis: pandas, numpy, matplotlib, seaborn
Working knowledge of SQL for querying relational databases: SELECT, JOIN, GROUP BY, aggregation functions
Coursework in statistics: hypothesis testing, regression, probability distributions, experimental design