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Staff AI Infrastructure Engineer

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Staff AI Infrastructure Engineer in USA

  • Anduril Industries
  • Full time
  • Email
  • Washington, DC

Responsibilities

  • Own the technical roadmap and architecture for Anduril’s foundational ML training, orchestration, experimentation, and MLOps platform.
  • Build automated tooling for hyperparameter tuning, model profiling, experimentation tracking, and research-lifecycle optimization.
  • Design and scale ETL pipelines processing terabytes of multimodal sensor and simulation data, including video, camera feeds, radar, flight telemetry, and simulation logs.
  • Architect high-throughput, low-latency model-serving infrastructure for cloud and air-gapped tactical edge environments.
  • Build ML CI/CD pipelines with automated validation, canary deployments, and rollback capabilities.
  • Implement continuous model evaluation, validation, and reinforcement learning alignment loops using RLHF and DPO.
  • Set unified infrastructure standards with AI researchers, computer vision teams, and platform engineers.
  • Lead technical direction and complex migrations, mentor engineers, and help recruit and expand the infrastructure team.

Requirements

  • 7+ years of software engineering experience designing, building, and operating production-scale machine learning systems and MLOps platforms.
  • Proficiency in Python, Go, C++, or similar backend languages, with deep knowledge of ML systems design, memory management, and distributed computing.
  • Deep experience with Docker, Kubernetes, GPU scheduling and orchestration, and distributed training frameworks such as PyTorch Distributed, Ray, Slurm, or Megatron-LM.
  • Hands-on experience building distributed ETL pipelines and managing terabytes of unstructured or multimodal sensor data.
  • Experience setting technical direction, leading complex system migrations, and mentoring senior engineers.
  • Eligibility to obtain and maintain an active U.S. Top Secret security clearance.
  • Preferred experience with secure, air-gapped, highly regulated, IL5/IL6, or GovCloud environments.
  • Preferred experience building LLM, generative AI, or reinforcement learning training and evaluation platforms.
  • Preferred experience profiling training hardware and optimizing network, memory, and accelerator utilization.
  • Preferred experience designing multi-tenant ML platforms with resource isolation, quota management, and fair scheduling across shared GPU clusters.
  • Preferred experience using custom AI accelerators such as AWS Trainium, Google TPUs, or custom ASICs.
  • Preferred experience building ML observability systems with prediction drift detection, data quality monitoring, and automated retraining triggers.

Benefits

  • Comprehensive competitive benefits are available at little to no cost to full-time employees.
  • Full-time employees receive health and recovery support and other benefits.
  • The role includes competitive equity grants in the majority of full-time offers.

Salary: $220k - $292k/yr

Anduril Industries

Anduril Industries builds advanced autonomous systems designed to enhance military awareness and security across land, sea, and air. Targeting defense agencies and allied military forces, it leverages its proprietary Lattice platform to drive innovation in military capabilities. What sets Anduril...

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