Staff AI Infrastructure Engineer -
Anduril IndustriesBase Salary
$220k - $292k/yr
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.
Categories
About Anduril Industries
Anduril is not a traditional defense contractor. We are shaping the future of defense, transforming US & allied military capabilities with advanced technology. We emphasize speed and results and control our products from start to finish, including funding R&D to selling finished products off the shelf. Today, Anduril is in a rapid growth phase, deploying technology in diverse locations and developing path-making products that will change defense forever. We believe that everyone at Anduril can be a catalyst. Your perspective can change lives, and we want to help you make your mark. Our team includes thinkers and doers working interdependently. We bring the brightest minds and best-in-class talent together with veterans who have lived the problems of our warfighters. If you like building quickly and seeing your work deployed in the real world, we want you at Anduril. With offices in Orange County, Washington DC, Seattle, Boston, Atlanta, London, and Sydney, our reach is wide. Check out our careers page at https://www.anduril.com/careers or send us an email at careers@anduril.com.