Senior ML & Low-Latency Systems Engineer (Onsite)

Anduril Industries; Waltham (MA); Vor Ort; USD 190.000 - 252.000; Vollzeit

Benefits dieser Stelle

Comprehensive benefits package

Zusammenfassung

Anduril Industries is seeking a Senior Software Engineer to support the Battlespace Awareness Command and Control Software team in building and improving the engineering foundation behind core tools, and to help stand up machine learning infrastructure that enhances how the team optimizes system parameters and detects performance regressions in CI. The role is based in Waltham, MA onsite.

You will work in a team that values practical engineering, low-latency systems, and reliable testing, with a

Qualifikationen

• Proven professional experience in Python, Rust, C++, or C.
• Strong software fundamentals including OOP, FP, 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 such as Claude or Codex.
• Experience with GitHub and CI/CD pipelines.
• Machine learning background including hyperparameter optimization, anomaly detection, and explainable ML (Bayesian ML).
• Must be authorized to work in the United States and eligible for a U.S. Secret security clearance.

Aufgaben

• Provide software engineering and development support for core tools.
• Stand up ML infrastructure to optimize system parameters and detect regressions in CI.

Kenntnisse

Python

Rust

C++

C

OOP

FP

REST API design

low-latency software

software testing

Robot Framework

integration testing

AI coding assistants

GitHub

CI/CD pipelines

ML

hyperparameter optimization

anomaly detection

explainable ML

Bayesian ML

PyTorch

FastAPI

TypeScript

JavaScript

React

NodeJS

CesiumJS

Tools

Robot Framework

GitHub

CI/CD pipelines

Claude

Codex

PyTorch

FastAPI

Jobbeschreibung

Anduril Industries is seeking a Senior Software Engineer to support the Battlespace Awareness Command and Control Software team in building and improving the engineering foundation behind core tools, and to help stand up machine learning infrastructure that enhances how the team optimizes system parameters and detects performance regressions in CI. The role is based in Waltham, MA onsite.

You will work in a team that values practical engineering, low-latency systems, and reliable testing, with a