Machine Learning Infrastructure Engineer (Associate or Experienced)
Company: Boeing
Location: Huntsville
Posted on: April 1, 2026
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Job Description:
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:
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Keywords: Boeing, Chattanooga , Machine Learning Infrastructure Engineer (Associate or Experienced), IT / Software / Systems , Huntsville, Tennessee