Software Engineer- Machine Learning

Anduril Industries is building advanced software for real-world battlespace systems, and the Battlespace Awareness Command and Control Software team plays a central role in turning cutting-edge algorithms into dependable, mission-critical capabilities. This Software Engineer position is based in Broomfield, Colorado (onsite), with opportunities to support core internal tools. For candidates with machine learning experience, the role also includes helping establish new ML infrastructure for system-parameter optimization and CI performance-regression detection.

Role summary

As part of the team, you will provide software engineering support for core tooling. If you have an ML background, you will contribute to infrastructure that improves how the team optimizes system parameters and detects performance regressions within CI workflows.

Responsibilities

• Provide software engineering and development support for several of the team’s core tools
• For candidates with an ML background, help stand up new ML infrastructure to improve system-parameter optimization
• For candidates with an ML background, help stand up new ML infrastructure to detect performance regressions in CI

Requirements

• Professional experience in one or more of Python, Rust, C++, or C, with a clear track record using these languages professionally
• Solid software engineering fundamentals, including object-oriented programming, functional programming, and REST API design
• Experience building low-latency or real-time software
• Experience with software testing, including Robot Framework testing and integration test development
• Comfort using AI coding assistants (Claude or Codex) as part of your day-to-day workflow
• Experience with GitHub and CI/CD pipelines
• Must be authorized to work in the United States
• Eligible to obtain and maintain an active U.S. Secret security clearance

Preferred qualifications

• TypeScript or JavaScript experience, including React and/or NodeJS
• Experience with Python FastAPI
• CesiumJS experience
• Experience with faster-than-real-time (FTRT) simulation
• Machine learning background (Master’s, PhD, or 2–3+ years of professional experience), particularly in:
  • Hyperparameter optimization
  • Anomaly detection
  • Explainable ML (e.g., Bayesian ML)
• Experience building Slackbot integrations

Technologies

• Python, Rust, C++, C
• REST API
• Robot Framework
• GitHub, CI/CD
• Claude, Codex
• TypeScript, JavaScript, React, NodeJS
• FastAPI, CesiumJS
• Slackbot
• Faster-than-real-time (FTRT) simulation
• Bayesian ML

About the team

The Battlespace Awareness Command and Control Software team specializes in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. The team works in small, innovative groups focused on delivering advanced technologies with mission-critical applications, measuring success by the real-world impact of deployed solutions. Work spans cutting-edge algorithms and high-performance software for multi-target tracking, data fusion, battle management, autonomous robotic control, and mission planning.

Compensation

$165,000 - $218,000 USD per year

Early application transcript request

• Request transcripts as part of the early application process to understand academic background and how coursework supports skills deemed critical for the role
• If transcripts are not shared, provide detailed information regarding academic performance in relevant courses, including projects and coursework specifics
• If academic transcripts are provided, you may redact non-technical information (for example: student ID, dates, non-technical coursework)
• Unofficial transcripts obtained online are acceptable for this assessment

Protecting yourself from recruitment scams

• Anduril will never solicit payment or demand personal financial details at any stage of the hiring process
• If you receive an email from a recruiter, it will only come from an @anduril.com address
• If contacted by a recruiting agency, verify authenticity by reaching out to [email protected]
• Exercise caution with unsolicited outreach and confirm the sender’s email domain is @anduril.com before providing personal information
• If you suspect fraud, report questionable or fraudulent outreach immediately to [email protected]

Data privacy

• View the candidate data privacy policy at https://anduril.com/applicant-privacy-notice/
• By submitting an application, you consent to a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of the application process
• The third-party provider may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources
• The third-party service provider does not act as a consumer reporting agency
• Use of this provider helps ensure compliance with applicable laws and protect technology, intellectual property, and organizational security