Senior AI Infrastructure EngineerNew$191K
The opportunity
Anduril Industries is a defense technology company with a mission to transform U. S.
What you'll do
Build, optimize, and maintain scalable training, orchestration, and: experimentation infrastructure to accelerate state-of-the-art model development.
Identify and resolve bottlenecks in the ML lifecycle by developing tooling: for experiment tracking, automated profiling, and hyperparameter tuning.
Implement and scale robust data pipelines (ETL) to process multi-modal data: (video feeds, radar, flight telemetry, and simulation logs) captured from physical assets and test sites.
Deploy high-throughput, low-latency model serving frameworks optimized for: both cloud environments and resource-constrained, air-gapped tactical edge hardware.
Develop robust CI/CD pipelines for ML models, including automated regression: testing, validation benchmarks, and safe rollout/rollback strategies.
Implement pipelines for model evaluation, validation, and reinforcement: learning alignment loops (RLHF/DPO) to ensure predictability and safety in mission-critical deployments.
What they're looking for
- Partner with AI Researchers and Computer Vision engineers to translate: modeling requirements into scalable, reusable infrastructure.
- Mentor peers, conduct thorough design and code reviews, and champion: engineering best practices across the team.
- + years of software engineering experience with demonstrated success in: building and operating production-scale machine learning infrastructure or distributed systems.
- Proficiency in Python, Go, or C++, with a strong grasp of software: engineering fundamentals, systems design, and concurrent programming.
