Senior Linux and GPU Infrastructure Implementation Specialist

Job Summary: We are looking for a Senior Linux and GPU Infrastructure Implementation specialist to join a global technology enterprise as they partner with a major university to build a state of the art artificial intelligence computing center. In this highly visible, customer facing role, you will take full ownership of the architecture, testing, and deployment of an advanced high performance computing ecosystem on behalf of our enterprise client. You will drive remote engineering initiatives and travel for critical on site campus integrations, delivering the technology that empowers the next generation of academic research.

Responsibilities Begin your day by aligning with enterprise engineering teams and university stakeholders to review project delivery plans and mitigate deployment risks.

Architect and execute the hands on implementation of highly specialized computing environments tailored for a major university client.

Collaborate directly with the end customer's IT teams and academic faculty to ensure the infrastructure meets complex teaching and research requirements.

Write and deploy robust automation using shell scripting or Python to streamline system management and operational efficiency.

Lead the operational handoff process, including delivering comprehensive on site training to the university's technical staff and faculty end users.

Balance remote engineering work with dedicated on site travel to the university campus for crucial deployment milestones.

Qualifications Must-Haves:

Proven track record of designing and deploying production level computing environments from the ground up in a client facing or consulting capacity.

Deep expertise in enterprise identity and storage integrations, specifically Active Directory, SSSD, Kerberos, SMB/CIFS, and NFS.

Extensive hands on experience with Ubuntu, NVIDIA driver stacks, CUDA, and NGC containers.

Strong background configuring shared compute portals, including Slurm integration and SSO mapped to Linux identities.

Ability to manage delivery plans, write maintainable automation, and communicate effectively with external clients and high level stakeholders.

Flexibility and willingness to travel for mandatory on site campus deployments.

Nice-to-Haves: Prior experience building multi user teaching or research environments within the higher education sector.

Familiarity with ARM64 compatibility, DGX OS environments, and rootless Podman.

Experience with fleet management tools such as Canonical Landscape or Ubuntu Pro.

Skills Technical: Linux (Ubuntu), NVIDIA GPU Stacks, Slurm, Open OnDemand, Active Directory/SSSD, Network Storage (NFS/CIFS), Python, Shell Scripting, JupyterLab.

Soft Skills: Client Facing Delivery, End User Training, Technical Leadership, Stakeholder Management, Risk Mitigation.

location: Charlotte, North Carolina

job type: Contract

salary: $70 - 75 per hour

work hours: 9am to 6pm

education: Bachelors

Responsibilities: We are looking for a Senior Linux and GPU Infrastructure Implementation specialist to join a global technology enterprise as they partner with a major university to build a state of the art artificial intelligence computing center. In this highly visible, customer facing role, you will take full ownership of the architecture, testing, and deployment of an advanced high performance computing ecosystem on behalf of our enterprise client. You will drive remote engineering initiatives and travel for critical on site campus integrations, delivering the technology that empowers the next generation of academic research.

Responsibilities

• Begin your day by aligning with enterprise engineering teams and university stakeholders to review project delivery plans and mitigate deployment risks.
• Architect and execute the hands on implementation of highly specialized computing environments tailored for a major university client.
• Collaborate directly with the end customer's IT teams and academic faculty to ensure the infrastructure meets complex teaching and research requirements.
• Write and deploy robust automation using shell scripting or Python to streamline system management and operational efficiency.
• Lead the operational handoff process, including delivering comprehensive on site training to the university's technical staff and faculty end users.
• Balance remote engineering work with dedicated on site travel to the university campus for crucial deployment milestones.

Qualifications Must-Haves:

• Proven track record of designing and deploying production level computing environments from the ground up in a client facing or consulting capacity.
• Deep expertise in enterprise identity and storage integrations, specifically Active Directory, SSSD, Kerberos, SMB/CIFS, and NFS.
• Extensive hands on experience with Ubuntu, NVIDIA driver stacks, CUDA, and NGC containers.
• Strong background configuring shared compute portals, including Slurm integration and SSO mapped to Linux identities.
• Ability to manage delivery plans, write maintainable automation, and communicate effectively with external clients and high level stakeholders.
• Flexibility and willingness to travel for mandatory on site campus deployments.

Nice-to-Haves:

• Prior experience building multi user teaching or research environments within the higher education sector.
• Familiarity with ARM64 compatibility, DGX OS environments, and rootless Podman.
• Experience with fleet management tools such as Canonical Landscape or Ubuntu Pro.

Skills

• Technical: Linux (Ubuntu), NVIDIA GPU Stacks, Slurm, Open OnDemand, Active Directory/SSSD, Network Storage (NFS/CIFS), Python, Shell Scripting, JupyterLab.
• Soft Skills: Client Facing Delivery, End User Training, Technical Leadership, Stakeholder Management, Risk Mitigation.

Qualifications: Proven track record of designing and deploying production level computing environments from the ground up in a client facing or consulting capacity.

Deep expertise in enterprise identity and storage integrations, specifically Active Directory, SSSD, Kerberos, SMB/CIFS, and NFS.

Extensive hands on experience with Ubuntu, NVIDIA driver stacks, CUDA, and NGC containers.

Strong background configuring shared compute portals, including Slurm integration and SSO mapped to Linux identities.

Ability to manage delivery plans, write maintainable automation, and communicate effectively with external clients and high level stakeholders.

Flexibility and willingness to travel for mandatory on site campus deployments.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.