Ai Cloud Infrastructure Engineer - Fury Team

Scoutai

Sunnyvale, CA, United States
$160,000—$240,000 usd py
On-site
Large-scale multimodal data ingestion
Distributed training infrastructure
Job orchestration workflows
Scout AI is seeking an AI Cloud Infrastructure Engineer for their Fury team to build and scale the infrastructure for advanced robotic systems designed for defense applications. The role requires expertise in machine learning infrastructure, distributed computing, and data engineering

Job Summary

  • Build and scale the backbone of Fury’s model training and deployment ecosystem.
  • Design the data, compute, and orchestration infrastructure for vision-language-action models.
  • This is a rare opportunity to come in early and architect the future of defense.

Matching Summary

Match Score: 85

Scout AI is seeking an AI Cloud Infrastructure Engineer for their Fury team to build and scale the infrastructure for advanced robotic systems designed for defense applications. The role requires expertise in machine learning infrastructure, distributed computing, and data engineering.

Salary

$160,000—$240,000 USD

Skills & Requirements

Must-have

  • Large-scale multimodal data ingestion
  • Distributed training infrastructure
  • Job orchestration workflows
  • Compute, memory, storage, network optimization
  • MLOps best practices

Nice-to-have

  • Edge-deployed ML systems
  • Federated training
  • Robotic data collection pipelines

Key Requirements

  • 3+ years of experience in ML infrastructure, MLOps, or large-scale data systems
  • Proven experience with distributed training and workflow orchestration
  • Strong proficiency in Python and cloud-native infrastructure
  • Deep understanding of data engineering
  • Familiarity with containerization and monitoring systems
  • Experience optimizing GPU cluster utilization
  • Bachelor’s degree or higher in Computer Science, Electrical Engineering, or related technical field

Work Rights

Must be a U.S. Person

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