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Senior AI Infrastructure Engineer

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Senior AI Infrastructure Engineer in USA

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

Responsibilities

  • Build, optimize, and maintain scalable training, orchestration, and experimentation infrastructure for state-of-the-art model development.
  • Develop tooling for experiment tracking, automated profiling, hyperparameter tuning, and ML lifecycle bottleneck resolution.
  • Build and scale ETL data pipelines for multimodal video, radar, flight telemetry, and simulation data.
  • Deploy high-throughput, low-latency model-serving frameworks across cloud and air-gapped tactical edge hardware.
  • Develop ML CI/CD pipelines with automated regression testing, validation benchmarks, and safe rollout and rollback strategies.
  • Implement model evaluation, validation, and RLHF/DPO alignment pipelines for predictable and safe deployments.
  • Partner with AI researchers and computer vision engineers to translate modeling requirements into reusable infrastructure.
  • Mentor peers, conduct design and code reviews, and promote engineering best practices.

Requirements

  • At least 5 years of software engineering experience building and operating production-scale ML infrastructure or distributed systems.
  • Proficiency in Python, Go, or C++, including software engineering fundamentals, systems design, and concurrent programming.
  • Hands-on experience with Docker, Kubernetes, and distributed training frameworks such as PyTorch Distributed, Ray, Slurm, or Megatron-LM.
  • Experience building and maintaining distributed data pipelines for large-scale unstructured or multimodal datasets.
  • Experience owning projects end-to-end from technical design through production deployment and operational monitoring.
  • Eligibility to obtain and maintain an active U.S. Top Secret security clearance.
  • Preferred: experience deploying ML infrastructure, model serving, or artifacts in secure, air-gapped, or regulated environments such as IL5, IL6, or GovCloud.
  • Preferred: experience profiling GPU or accelerator workloads, resolving hardware and network bottlenecks, and optimizing compute utilization.
  • Preferred: experience supporting Large Language Model, Generative AI, or Reinforcement Learning pipelines.
  • Preferred: experience with multi-tenant cluster management, fair scheduling, GPU slicing, and quota enforcement.
  • Preferred: familiarity with ML observability frameworks, data drift detection, and automated evaluation pipelines.

Benefits

  • Comprehensive competitive benefits package available at little to no cost to employees.
  • Full-time employees may receive competitive equity grants as part of total compensation.

Salary: $191k - $253k/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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