Staff AI ML Infra Architect

Anduril; California (MO); On-site; USD 220,000 - 292,000; Full time

Benefits offered by this job

Equity grants

Top-tier benefits

Career growth opportunities

Job summary

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to design and scale the end-to-end ML platform powering autonomous systems. You will own the technical roadmap, build robust infrastructure, MLOps tooling, and systems architecture for training, evaluating, hosting, and serving complex AI models in cloud and air-gapped environments.

You will enable AI researchers, mentor engineers, and help grow the infrastructure team while ensuring safety and efficiency of terabytes of

Qualifications

• 7+ years of software engineering experience building production-scale ML systems and platforms (MLOps).
• Proficient in Python, Go, C++, or similar backend languages with deep ML systems knowledge.
• Experience with containerized deployments (Docker, Kubernetes), GPU scheduling/orchestration, and distributed training frameworks (PyTorch Distributed, Ray, Slurm, Megatron-LM).
• Hands-on experience building distributed data pipelines (ETL) and managing terabytes of multi-modal data.
• Experience setting technical direction, leading complex migrations, and mentoring senior engineers.
• Eligible to obtain and maintain an active U.S. Top Secret security clearance.

Responsibilities

• Design, build, and maintain our foundational training, orchestration, and experimentation infrastructure for state-of-the-art model development.
• Identify bottlenecks in the ML research lifecycle and build automated tools for tuning, profiling, and tracking.
• Design and scale high-throughput ETL pipelines for terabytes ofMulti-modal data from assets and test sites.
• Architect high-performance model serving frameworks for cloud and air-gapped edge environments; build CI/CD for ML models with validation, canary deployments, rollback.
• Create pipelines for evaluation, model validation, and RLHF/DPO to ensure safety and predictability.
• Collaborate with AI Researchers and platform engineers to standardize infrastructure across autonomous programs.

Skills

Python

C++

Go

ML systems design

Distributed computing

Docker

Kubernetes

GPU scheduling

Leadership

Tools

PyTorch Distributed

Ray

Slurm

Megatron-LM

Job description

Anduril Industries is seeking a founding Staff AI Infrastructure Engineer to design and scale the end-to-end ML platform powering autonomous systems. You will own the technical roadmap, build robust infrastructure, MLOps tooling, and systems architecture for training, evaluating, hosting, and serving complex AI models in cloud and air-gapped environments.

You will enable AI researchers, mentor engineers, and help grow the infrastructure team while ensuring safety and efficiency of terabytes of