Anduril Industries is looking to solve the problem of transforming U.S. and allied military capabilities with advanced technology, specifically in the maritime domain, by developing and maintaining core products and payloads, and adapting and applying those products to serve a wide variety of defense, IC and commercial customers.
Requirements
- Advanced proficiency in programming languages (C++ for high-performance computing, Python for scripting and integration).
- Experience with CI/CD tools like GitHub Actions, Jfrog Artifactory, and Git.
- Proficiency with IaC tools (Terraform, Ansible).
- Experience with cloud platforms (Azure, AWS, GCP).
- Proficiency in containerization (Docker) and container orchestration (Kubernetes).
- Knowledge of model registries and feature stores (e.g., MLflow, Kubeflow).
- Experience with logging and monitoring tools (ELK Stack, Prometheus, Grafana).
Responsibilities
- Build and Manage CI/CD Pipelines: Develop and maintain CI/CD pipelines using tools like GitHub Actions and Jfrog Artifactory to ensure seamless integration and deployment of machine learning models and applications.
- Infrastructure as Code (IaC): Utilize Terraform and Ansible to automate infrastructure provisioning and management on cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).
- Containerization and Orchestration: Implement containerization solutions with Docker and manage container orchestration using Kubernetes to ensure reliable deployment and scaling of applications.
- Model Management and Deployment: Set up and maintain model registries and feature stores (e.g., MLflow, Kubeflow), and manage deployment pipelines for both batch and real-time inference.
- Monitoring and Logging: Establish comprehensive monitoring and logging solutions using tools like ELK Stack (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana to ensure the smooth operation of deployment environments.
- Collaborate with Cross-Functional Teams: Work closely with development, data science, and operations teams to foster collaboration and ensure the efficient and effective deployment of machine learning models.
- Optimize Performance: Utilize parallel computing frameworks such as CUDA and OpenCL to accelerate high-performance computing tasks, ensuring timely processing of large datasets and complex simulations.
Other
- Eligible to obtain and maintain an active U.S. Secret security clearance.
- Strong collaboration skills and proficiency with collaborative tools (JIRA, Confluence).
- Previous experience in a manufacturing or industrial setting (preferred).
- Familiarity with observability concepts and tools (preferred).
- Knowledge of security best practices for DevOps and MLOps (preferred)
