Staff AI Platform Engineer - ML & Edge Systems

Anduril Industries; Washington (District of Columbia); On-site; USD 220,000 - 292,000; Full time

Benefits offered by this job

Equity grants

Benefits package

Job summary

Anduril Industries in the United States is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end ML platform powering its autonomous systems.

As a Staff Engineer, you will own the technical roadmap for the ML platform, develop robust infrastructure, MLOps tooling, and systems architecture for training, evaluation, hosting, and serving models across cloud and edge environments. You will lead a team and mentor engineers as the program expands.

Qualifications

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

Responsibilities

• Design, build, and maintain foundational training, orchestration, and experimentation infrastructure for state-of-the-art model development.
• Identify, measure, and eliminate bottlenecks in the ML research lifecycle; build automated tools for hyperparameter tuning, model profiling, and experiment tracking.
• Design and scale robust ETL pipelines processing terabytes of multi-modal data (video, radar, telemetry, logs).
• Architect high-throughput, low-latency model serving for cloud and air-gapped tactical edge environments; build CI/CD for ML models with validation and canaries.
• Build automated pipelines for continuous evaluation, model validation, and RLHF/DPO alignment loops for safety and predictability.
• Collaborate with AI researchers and platform engineers to standardize infrastructure across autonomous systems programs.

Skills

ML systems design

Programming languages: Python/Go/C++

Docker/Kubernetes

Distributed training frameworks

ETL pipelines

Mentoring engineers

Tools

PyTorch Distributed

Ray

Slurm

Megatron-LM

Job description

Anduril Industries in the United States is seeking a founding Staff AI Infrastructure Engineer to architect, build, and scale the end-to-end ML platform powering its autonomous systems.

As a Staff Engineer, you will own the technical roadmap for the ML platform, develop robust infrastructure, MLOps tooling, and systems architecture for training, evaluation, hosting, and serving models across cloud and edge environments. You will lead a team and mentor engineers as the program expands.