Machine Learning Infrastructure Engineer (Associate or Experienced)
Boeing
- United States
- United States
About
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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