Anduril
Software Engineer- Machine Learning
$191K–$254K
Waltham, Massachusetts, United States · Full-time · Posted Sep 24, 2026
- Experience
- Professional experience in one or more listed programming languages; preferred ML experience: 2–3+ years, or a Master's or PhD.
- Education
- No minimum education requirement stated; transcripts are requested during the early application process.
- Visa sponsorship
- Must be authorized to work in the United States; eligible to obtain and maintain an active U.S. Secret security clearance.
About the job
Develop and support software for the Battlespace Awareness team, including ML infrastructure for system-parameter optimization and detecting performance regressions in CI.
What you'll do
- Provide software engineering and development support for the team's core tools.
- For candidates with an ML background, help build ML infrastructure for parameter optimization and performance-regression detection.
- Develop software in a mission-critical environment involving real-time systems and testing.
What they ask for
- Professional experience using at least one of Python, Rust, C++, or C.
- Software engineering fundamentals including object-oriented and functional programming, and REST API design.
- Experience with low-latency or real-time software, software testing (including Robot Framework and integration tests), GitHub, and CI/CD pipelines.
- Machine learning background in hyperparameter optimization, anomaly detection, or explainable ML; comfortable using AI coding assistants; authorized to work in the U.S. and eligible to obtain and maintain an active U.S. Secret security clearance.
Nice to have
- TypeScript or JavaScript, React, NodeJS, PyTorch, Python FastAPI, or CesiumJS; faster-than-real-time simulation or Slackbot integrations.
- Master's, PhD, or 2–3+ years of professional machine learning experience, especially model deployment.
Pay
$191,000 — $254,000 USD (base salary)
Tools
Python, Rust, C++, C, Robot Framework, GitHub, CI/CD, Claude or Codex
AI focus
Build ML infrastructure for hyperparameter optimization and detecting performance regressions in CI; relevant ML areas include anomaly detection and explainable ML. AI coding assistants are part of the stated workflow.
Model-written summary · the original posting is authoritative