Machine Learning Infrastructure Engineer, Anduril Industries

• Have at least 2 years experience working in AI infrastructure
• Are opinionated about software systems design, engineering and operation
• Have experience deploying complex infrastructure to production
• Strong proficiency in Python
• Experience with cloud and on-prem infrastructure with Kubernetes orchestration
• Must be eligible to obtain and maintain a Secret Clearance

Desirable

• Frontier AI’s mission is to position Anduril as a global leader in AI for national security
• As such, the Frontier AI team productizes the latest and greatest innovations in artificial intelligence such as large language models, large multi-modal language models, and edge multi-modal models for deployment into Anduril products, systems and business lines
• The Software Engineer - Frontier AI - Infrastructure role, in particular, focuses on infrastructure challenges as it pertains to the productization of frontier AI technologies on edge and air gapped environments
• At a high-level, the role is expected to specialize in build, performance, deployment, evaluation, hardware and related problems
• Optimize our AI infrastructure for deployment on the edge in a heterogeneous set of environments:
• On a mesh
• On drones of various sizes
• In an edge-computing deployment in a shipping container
• And more
• Develop industrial grade build infrastructure and deployment pipelines for our AI models and applications
• Build evaluation pipeline for various large pre-trained models
• Advise our hardware teams on requirements for deployment
• Develop real-time observability and data collection pipelines to monitor AI systems in production
• [Bonus] develop custom performance optimized models for edge and air-gapped deployment, and for production-grade latency, resource and accuracy performance