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AI/HPC Cluster Administrator

AMD

AI/HPC Cluster Administrator

AMD

Austin, Texas

·

On-site

·

Full-time

·

2w ago

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE:

We are looking for a Senior Compute Cluster Administrator responsible for operating and supporting compute clusters used in upcoming datacenter buildouts leveraging AMD Instinct products. This role owns Day Two and beyond operations, encompassing both proactive maintenance and reactive support across complex, highly technical environments.

This is an operational role supporting a demanding user base of AI server hardware, software, and firmware developers. You will manage a mix of R&D lab and production lab environments, each with distinct release cycles, stability requirements, and operational expectations.

The role requires close collaboration with IT, Infosec, infrastructure automation teams, and deeply technical end users to ensure service quality, delivery commitments, and governance standards are consistently met.

KEY RESPONSIBILITIES:

  • Work directly with tenants and stakeholders to maximize service quality, utilization, and availability of managed compute clusters
  • Collaborate with highly technical users working deep within AMD’s Instinct platform (e.g., ROCm) to troubleshoot misconfigurations impacting HPC performance
  • Lead the resolution of complex issues during new deployments and ongoing operations
  • Partner with hardware vendors on technical escalations involving third‑party OEM platforms and coordinate maintenance cycles aligned with upstream releases
  • Support multiple Linux distributions across Red Hat and Ubuntu/Debian families
  • Act as a subject matter expert in one or more cluster scheduling technologies such as Slurm, LSF, Sun Grid Engine, Open Lava, or Kubernetes
  • Compare configurations and behaviors across heterogeneous clusters within AMD’s compute estate
  • Engage with emerging technologies where formal documentation may be limited, including white‑box platforms and pre‑beta hardware
  • Maintain and evolve compute images using automated CI/CD pipelines, or deploy software manually where automation is not available
  • Monitor cluster health, performance, and availability using standard tooling such as Grafana, Prometheus, and Zabbix
  • Work collaboratively with team members to reproduce and resolve difficult or intermittent issues
  • Train and enable on‑site L1 support teams
  • Participate in on‑call incident response as L2 support when required

PREFERRED EXPERIENCE:

  • Hands‑on experience administering or supporting HPC clusters in production, research, or academic environments
  • Practical experience working as an HPC user combined with Linux system administration in enterprise or lab environments
  • Background in software development combined with deep Linux systems exposure in server or infrastructure contexts
  • Demonstrated intermediate to advanced Linux expertise; industry‑recognized certifications are valued
  • Strong understanding of networking fundamentals, including the OSI model, multi‑homed systems, firewall troubleshooting, and high‑speed interconnects
  • Willingness to experiment with open‑source and emerging technologies that may not conform to established standards
  • Experience supporting infrastructure services such as DNS, DHCP, BOOTP, PXE, TFTP, NTP, and PAM
  • Understanding of interprocess communication and familiarity with MPI implementations such as Open

MPI or MPICH:

  • Proficiency with Linux troubleshooting tools such as nmap, gdb, lsof, sar, and server management interfaces including IPMI, iDRAC, and iLO
  • Experience with RDMA is a plus; familiarity with PCIe, I2C, compiler optimization, or other low‑level system components is beneficial
  • Working knowledge of virtualization, VLANs, and directory services sufficient to collaborate effectively with partner teams
  • Strong written communication skills with the ability to produce clear technical documentation
  • Experience developing automation using Python and/or Ansible
  • Familiarity with version control systems such as Git
  • Self‑directed, analytical, dependable, and comfortable working both independently and in a team‑based environment

ACADEMIC CREDENTIALS:

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical discipline.

Location: Austin, TX; Santa Clara, CA; Seattle, WA; Markham, Canada

This role is not eligible for sponsorship

*Benefits offered are described: *AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

THE ROLE:

We are looking for a Senior Compute Cluster Administrator responsible for operating and supporting compute clusters used in upcoming datacenter buildouts leveraging AMD Instinct products. This role owns Day Two and beyond operations, encompassing both proactive maintenance and reactive support across complex, highly technical environments.

This is an operational role supporting a demanding user base of AI server hardware, software, and firmware developers. You will manage a mix of R&D lab and production lab environments, each with distinct release cycles, stability requirements, and operational expectations.

The role requires close collaboration with IT, Infosec, infrastructure automation teams, and deeply technical end users to ensure service quality, delivery commitments, and governance standards are consistently met.

KEY RESPONSIBILITIES:

  • Work directly with tenants and stakeholders to maximize service quality, utilization, and availability of managed compute clusters
  • Collaborate with highly technical users working deep within AMD’s Instinct platform (e.g., ROCm) to troubleshoot misconfigurations impacting HPC performance
  • Lead the resolution of complex issues during new deployments and ongoing operations
  • Partner with hardware vendors on technical escalations involving third‑party OEM platforms and coordinate maintenance cycles aligned with upstream releases
  • Support multiple Linux distributions across Red Hat and Ubuntu/Debian families
  • Act as a subject matter expert in one or more cluster scheduling technologies such as Slurm, LSF, Sun Grid Engine, Open Lava, or Kubernetes
  • Compare configurations and behaviors across heterogeneous clusters within AMD’s compute estate
  • Engage with emerging technologies where formal documentation may be limited, including white‑box platforms and pre‑beta hardware
  • Maintain and evolve compute images using automated CI/CD pipelines, or deploy software manually where automation is not available
  • Monitor cluster health, performance, and availability using standard tooling such as Grafana, Prometheus, and Zabbix
  • Work collaboratively with team members to reproduce and resolve difficult or intermittent issues
  • Train and enable on‑site L1 support teams
  • Participate in on‑call incident response as L2 support when required

PREFERRED EXPERIENCE:

  • Hands‑on experience administering or supporting HPC clusters in production, research, or academic environments
  • Practical experience working as an HPC user combined with Linux system administration in enterprise or lab environments
  • Background in software development combined with deep Linux systems exposure in server or infrastructure contexts
  • Demonstrated intermediate to advanced Linux expertise; industry‑recognized certifications are valued
  • Strong understanding of networking fundamentals, including the OSI model, multi‑homed systems, firewall troubleshooting, and high‑speed interconnects
  • Willingness to experiment with open‑source and emerging technologies that may not conform to established standards
  • Experience supporting infrastructure services such as DNS, DHCP, BOOTP, PXE, TFTP, NTP, and PAM
  • Understanding of interprocess communication and familiarity with MPI implementations such as Open

MPI or MPICH:

  • Proficiency with Linux troubleshooting tools such as nmap, gdb, lsof, sar, and server management interfaces including IPMI, iDRAC, and iLO
  • Experience with RDMA is a plus; familiarity with PCIe, I2C, compiler optimization, or other low‑level system components is beneficial
  • Working knowledge of virtualization, VLANs, and directory services sufficient to collaborate effectively with partner teams
  • Strong written communication skills with the ability to produce clear technical documentation
  • Experience developing automation using Python and/or Ansible
  • Familiarity with version control systems such as Git
  • Self‑directed, analytical, dependable, and comfortable working both independently and in a team‑based environment

ACADEMIC CREDENTIALS:

Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical discipline.

Location: Austin, TX; Santa Clara, CA; Seattle, WA; Markham, Canada

This role is not eligible for sponsorship

*Benefits offered are described: *AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

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AMDについて

AMD

AMD

Public

Advanced Micro Devices, Inc. (AMD) is an American multinational semiconductor company headquartered in Santa Clara, California.

10,001+

従業員数

Santa Clara

本社所在地

$240B

企業価値

レビュー

3.7

10件のレビュー

ワークライフバランス

2.8

報酬

3.2

企業文化

4.1

キャリア

3.4

経営陣

3.8

68%

友人に勧める

良い点

Great team culture and spirit

Innovative projects and cutting-edge technology

Supportive management and leadership

改善点

High workload and overwhelming work demands

Work-life balance challenges

High pressure and stressful deadlines

給与レンジ

6件のデータ

L2

L3

L4

L5

L6

L2 · Cybersecurity Analyst L2

0件のレポート

$130,000

年収総額

基本給

$52,000

ストック

$65,000

ボーナス

$13,000

$91,000

$169,000

面接体験

2件の面接

難易度

3.0

/ 5

期間

14-28週間

内定率

50%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Hiring Manager Interview

4

Technical Interview

5

Offer

よくある質問

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving