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 Ncontainers.

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: Telecommute
job type: Contract
salary: $80 - 100 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 Ncontainers.
• 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 Ncontainers.

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.

skills:

Active Directory,Podman,GPU Infrastructure,high performance computing,Kerberos,Linux,NFS,Network Storage,CUDA,Python,SMB/CIFS,CIFS,shell scripting,Slurm,Ubuntu,Linux (Ubuntu),Flexibility,communicate effectively,Soft Skills,system management,architecture,automation,operational efficiency,project delivery,enterprise engineering,infrastructure,academic research,risks,Risk Mitigation,Stakeholder Management,teaching,Technical Leadership,testing,End User Training,fleet management

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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.
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