Machine Learning Infrastructure Engineer (Associate or Experienced)

About the position

Machine Learning Infrastructure Engineer (Associate or Experienced) Company: The Boeing Company The Boeing Company is seeking a Machine Learning Infrastructure Engineer ( Associate or Experienced) in Huntsville, AL . This Infrastructure Engineer will support our Artificial Intelligence Innovation Lab infrastructure environments with an emphasis on Artificial Intelligence and Machine Learning (AI/ML) development platforms . This position supports Linux and Windows systems, cloud and virtualization platforms, container orchestration technologies, and secure networking services. The selected candidate will work under general direction and collaborate with cross-functional teams including AI/ML engineers, DevOps, cybersecurity, and network engineering. Our teams are currently hiring for a broad range of experience levels including Associate or Experienced Level Software Engineers. Boeing offers a comprehensive benefits package including 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, and paid medical leave programs. For more information, click here .

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.
• Collaboration 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.

Requirements

• 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

Nice-to-haves

• 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

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