Machine Learning Infrastructure Engineer… at Boeing · USA -…

Summary: The Boeing Company is seeking a Machine Learning Infrastructure Engineer in Huntsville, AL. This role will support the Artificial Intelligence Innovation Lab infrastructure environments with a focus on AI and Machine Learning development platforms, collaborating with cross-functional teams to ensure efficient operation and management of compute infrastructure. Responsibilities: - Performs Linux and Windows system administration tasks including system monitoring, patching, updates, and routine maintenance - Supports compliance with enterprise IT policies, cybersecurity standards, and regulatory requirements - Assists with deployment and support of MLOps tooling used to manage GPU compute resources for AI/ML workloads - Supports management and operation of compute infrastructure used by AI and ML development teams - Assists in configuring and maintaining network devices (firewalls, switches) to ensure secure and reliable operations - Troubleshoots network connectivity issues, including VPN access, escalating complex issues to senior engineers as required - Assists in optimizing cloud infrastructure resources to improve performance, cost efficiency, and scalability - Supports virtualization platforms and cluster technologies, ensuring availability and performance - Assists with administration of distributed storage and storage networking systems - Supports Kubernetes cluster operations using platforms such as Rancher and OpenShift, ensuring cluster health and security - Uses Kubernetes tooling to assist with containerized application deployment and orchestration - Assists in administration of core network services, including DNS, DHCP, and LDAP across Linux and Windows environments - Documents infrastructure changes and asset data in Data Center Infrastructure Management (DCIM) and IP Address Management (IPAM) systems - Assists with deployment and management of local generative AI models, supporting infrastructure optimization for AI workloads - Collaborates with DevOps teams to develop, support, and troubleshoot CI/CD pipelines, primarily using GitLab - Assists with automation of infrastructure provisioning and deployment workflows using scripting and infrastructure-as-code tools Required Qualifications: - Bachelor's degree in an Engineering discipline - Ability to obtain a U.S. Secret Security Clearance - 1+ years of experience with LINUX and Windows operating systems at the system administrator level - 1+ years of experience developing software using Docker or Kubernetes for container-based applications - 1+ years of experience with computing networking/storage concepts and architectures - 1+ years of experience with Cloud hosted platforms such as AWS, Google Cloud Platform, or Azure Preferred Qualifications: - Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry - 3 or more years' related work experience or an equivalent combination of education and experience - Active U.S. Secret Security Clearance - 3+ years of experience supporting lab infrastructure environments - Experience or exposure to virtualization technologies such as VMware, Hyper-V, Proxmox, or similar - Basic experience with automation or scripting tools (Python, Bash, PowerShell, Ansible, Terraform, or similar) - Familiarity with CI/CD concepts and tools, preferably GitLab - Understanding of GPU compute concepts or high-performance workloads - Experience working with Kubernetes clusters in production or lab environments - Familiarity with distributed storage systems and storage networking - Knowledge of security best practices and compliance frameworks such as NIST - Experience supporting AI/ML or high-performance computing (HPC) environments - Experience troubleshooting VPN and complex network connectivity issues - Relevant certifications such as RHCE, Microsoft Certified: Azure Administrator, Cisco CCNA, or equivalent - Strong problem-solving, communication, and collaboration skills Required Skills: Linux system administration, Windows system administration, Kubernetes, Cloud platforms Important Skills: Docker, Networking concepts, MLOps tooling, Virtualization technologies, Automation tools Benefits: Generous Paid Time Off (PTO), Flexible work environment, Paid parental leave, Industry-leading retirement benefits with strong matching, Very generous tuition assistance for earning advanced degrees, Paid medical leave programs