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Anduril

Builds autonomous weapons for the US and allies

Quality Engineer - Analytics

Data Engineering +1Updated on Nov 10
Full-timeAtlanta, GA, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Mechanical Engineering, Industrial Engineering, or a related technical field is required.
  • At least 2 years of experience in a Data Analyst, Data Engineer, Analytics Engineer, or similar role is required.
  • Experience with Foundry, Databricks, or an equivalent cloud lakehouse is required, including building or maintaining pipelines and dashboards used by other teams.
  • Strong SQL skills on large, multi-source datasets are required, including joins across heterogeneous systems, window functions, and performance tuning.
  • Applied experience using AI tools such as Cursor, Claude Code, Copilot, or AIP is required, including the ability to critically review AI-generated artifacts and understand their limitations.
  • Demonstrated ability to troubleshoot data issues by tracing inaccurate numbers through the stack and explaining the cause is required.
  • Eligibility to obtain and maintain a U.S. Government security clearance is required; the role is subject to ITAR.
  • Ability to communicate technical information clearly to directors without jargon and to engineers without losing precision is required.
  • Willingness to travel up to 25% to Anduril sites and vendors is required.

Responsibilities

  • Work at the intersection of hardware manufacturing and data analytics, spending time on the shop floor to understand quality workflows and building actionable analytics tools and dashboards for those workflows.
  • Pull data from production systems, including ERP, MES, QMS, and inventory systems; build pipelines and ontologies in Palantir Foundry and Databricks; and partner with manufacturing engineers, machine-learning practitioners, and program quality leads to deliver analytics products for operators.
  • Design, build, and maintain production dashboards, pipelines, and quality metrics used at the site.
  • Participate in a standing feedback loop with operators, manufacturing engineers, and program quality; translate feedback into a prioritized, visible backlog; and submit evidence-backed requests to headquarters to improve the platform.
  • Investigate inaccurate dashboards and data by conducting deep-dive analysis in SQL and Python, tracing issues through the stack, identifying root causes, and fixing them at the source.
  • Implement data-quality checks, validation rules, and automated monitoring directly in pipelines.
  • Build small applications and workflows in Foundry and Databricks to reduce repetitive analyst work, informed by operator needs.
  • Partner with cross-functional teams from requirements through deployment, translate program quality leads' problems into data products, and support rollouts.
  • Help train operators, run office hours, track usage, and treat adoption as a deliverable.
  • Use AI in work to draft pipelines, write tests, generate dashboards, explore unfamiliar data, and accelerate repetitive tasks.
  • Own and improve existing analytics deployed at the Atlanta site, and build new analytics products as site programs and requirements evolve.
  • Gather requirements from operators and engineers, sequence work, drive rollouts to completion, and provide learnings to the headquarters roadmap.

Desired Qualifications

  • Experience in a hardware manufacturing environment, including new product introduction, ramp, or high-volume manufacturing, or comfort working in manufacturing operations and on the production floor.
  • Familiarity with manufacturing data systems, including ERP platforms such as Oracle, NetSuite, or SAP; MES; QMS; PLM such as Teamcenter; or inventory and warehouse systems.
  • Strong Python skills for data transformation and scripting, including Pandas, PySpark, or equivalent tools.
  • Familiarity with quality methodologies, including root cause and corrective action/8D, FMEA, GD&T, IQC/OQC, and control-plan design.
  • Defense or regulated-manufacturing experience, including ITAR, AS9100, IPC-610, MIL-STD-1916, or similar standards.
  • Experience with software engineering practices such as Git, code review, continuous integration, and testing data code with the rigor used for application code.
  • Experience integrating large language models or machine-learning models into analytics workflows, including retrieval-augmented generation over operational data, AI-assisted triage, or agentic data exploration.

About the Company

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Anduril

Builds autonomous weapons for the US and allies

Anduril builds autonomous weapons, such as drones, cruise missiles, and robot submarines, for the US military and its allies, often developing them with its own money before any order arrives. In 2024 it beat Boeing, Lockheed Martin, and Northrop Grumman for an Air Force contract to develop Fury, a pilotless jet that flies alongside crewed fighters. Its Lattice software merges camera and radar feeds into one live map and lets a few operators direct many drones and weapons at once, including other companies' systems. Governments buy its systems under contract, and Anduril builds much of the hardware in its own factories. Oculus founder Palmer Luckey co-founded Anduril in 2017, and it is based in Costa Mesa, California.

Company size
10,001+
Company stage
Private
Total funding
$11.5B
Headquarters
Costa Mesa, CA
Founded
2017

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