Base Salary
$115k - $235k/yr
Responsibilities
- Design, deploy, and manage cloud resources, distributed computing systems, and data storage solutions for AI/ML workflows.
- Collaborate with scientists and software and infrastructure engineers on infrastructure requirements for model training, testing, and deployment.
- Implement automation for provisioning, configuration, and monitoring of AI/ML infrastructure.
- Optimize infrastructure performance, resource utilization, caching, data preprocessing, scalability, reliability, and cost-effectiveness.
- Ensure encryption, access control, vulnerability management, security, and compliance standards across the infrastructure stack.
- Troubleshoot proof-of-concept and production deployment issues and implement risk-mitigation solutions.
- Advise customers and partners on advanced GPU solutions, cloud migration, Oracle Cloud value, and successful deployment architectures.
- Act as a technical liaison between customers, core engineering teams, and support.
- Document infrastructure designs, configurations, procedures, and troubleshooting steps.
- Coordinate moderately complex tasks and projects, provide technical oversight, and prioritize work across initiatives.
- Coach and mentor junior team members, contribute to process improvements, and participate in candidate interviews and hiring recommendations.
Requirements
- Experience with scripting and automation using Ansible, Terraform, Python, and/or Kubernetes.
- Experience with Docker, Kubernetes, and orchestration tools such as Slurm and PBS for distributed systems.
- Strong Linux administration skills across Oracle Linux, RHEL, CentOS, Ubuntu, and Debian, including package management, shell scripting, and performance optimization.
- Solid understanding of networking concepts, security principles, and best practices.
- Strong troubleshooting, problem-solving, communication, collaboration, and technical documentation skills.
- Preferred proficiency in Python, Rust, Go, Java, or Scala.
- Preferred experience designing and managing infrastructure for AI/ML or HPC workloads and strong experience with high-performance computing and GPU systems.
- Familiarity with TensorFlow, PyTorch, scikit-learn, Jenkins, GitLab CI/CD, and Prometheus is preferred.
Benefits
- Comprehensive medical, dental, vision, disability, life, and AD&D insurance options.
- 401(k) savings and investment plan with company match, employee stock purchase plan, and financial planning resources.
- Flexible or accrued vacation, 11 paid holidays, paid sick leave, paid parental leave, and adoption assistance.
- Pre-tax commuter and parking benefits, flexible spending accounts, group legal services, and voluntary auto, homeowner, and pet insurance.
- US hiring range is $114,600 to $234,600 per annum, with potential bonus, equity, and compensation deferral.
- Applications are generally accepted for at least three calendar days or while the posting remains open.
Tech Stack
Categories
About Oracle
Oracle is a global leader in AI, delivering the cloud infrastructure, data, and applications that organizations across the world trust to successfully achieve business outcomes at scale. Oracle Cloud Infrastructure (OCI) provides fast, flexible, scalable AI infrastructure. With superior compute performance and network design, a comprehensive choice of AI services for developing and orchestrating agentic AI workflows at scale, and unrivaled data control, security, privacy, and governance, OCI is designed for AI workloads. It also gives customers the flexibility to run their workloads wherever they need by supporting public cloud, multicloud, hybrid cloud, sovereign, and on-premises deployments. The Oracle AI Database is the only database with AI natively built in everywhere. By bringing AI to where data lives, the Oracle AI Database delivers enterprise-grade AI securely, cost-effectively, and at scale. In-database machine learning and vector search enable AI models to run where data resides. Support for multi-modal data (structured, unstructured, graph, vector) enables richer AI use cases. The Oracle AI Data Platform enables organizations to build, deploy, and govern AI agents and applications on top of private, secure, and distributed enterprise data. This enables organizations to operationalize AI without compromising data security or control. Oracle Applications embed AI directly into business workflows and industry processes to ensure AI is delivered in context, where work happens. They include the only applications suite that brings AI to every aspect of a business, with AI-powered ERP, HCM, and CX applications, and the Oracle Health Suite which provides applications for managing the entire healthcare ecosystem. Oracle also provides industry-specific cloud application suites for more than two dozen industries and NetSuite, the world’s first cloud computing company. This LinkedIn page serves as Oracle’s official global company page.