Machine Learning Infrastructure Engineer (Associate or Experienced)

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.

Position 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.

Basic Qualifications (Required Skills / Experience):

• 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 (Desired Skills / Experience):

• 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

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Travel:

Less than 10%, if any

Relocation: 

This position offers relocation based on candidate eligibility. Note: Basic relocation will be offered for eligible internal candidates.

Conflict of Interest:

Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.  Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.  

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.  

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.  

Summary pay range / Associate Level: $112,200 – $151,800

Summary pay range / Experienced Level: $140,250 – $189,750

Potential signing bonus for eligible/qualified external candidates.

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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