AI/HPC Cluster Administrator

Job description Gen AI Engineer || Plano, TX – Hybrid || Fulltime || 12 - 18 years of experience

Must Have Technical/Functional Skills

• Gen AI – prompt engineering

• Connecting LLMs

• Agentic AI

• Model Context Protocol

• Handon experience-

Roles & responsibilities

• Gen AI – prompt engineering

• Connecting LLMs

• Agentic AI

• Model Context Protocol

• Handon experience

Generic Managerial Skills, If any

No man...agerial skills required, but the candidate should be able to manage and run production calls in case critical

Issues with any dependencies/ hand holding.

Key Words to search in Resume

• Gen AI – prompt engineering

• Connecting LLMs

• Agentic AI

• Model Context Protocol

• Handon experience

Diverse Lynx LLC is an Equal Employment Opportunity employer.

All qualified applicants will receive due consideration for employment without any discrimination.

All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.

We promote and support a diverse workforce across all levels in the company. Show full description Report this listing Loading... .vyDMJf-gXhOqb-Bz112c{display:inline-block;fill:currentColor;height:24px;line-height:24px;position:relative;width:24px}.vyDMJf-gXhOqb-Bz112c svg{display:block;height:100%;width:100%} A Advanced Micro Devices, Inc Share AI/HPC Cluster Administrator Advanced Micro Devices, Inc • Austin, TX, United States • via AMD Careers 7 days ago Full-time Apply directly on AMD Careers Apply directly on ZipRecruiter Apply on Teal
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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, OpenLava, 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 OpenMPI 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

#LI-TL1

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.

Show full description Report this listing Advanced Micro Devices, Inc Glassdoor 4/5 6.2K reviews Indeed 3.8/5 658 reviews AmbitionBox 3.7/5 330 reviews (function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m<d;++m)a+=h[m].offsetWidth;a=Math.min(f,a)}a+=n;d=Math.min(e?f-a:a,f);l.scrollLeft=e&&p?a:e&&k?-a:d;var b=g.getElementsByTagName("g-left-button")[0],c=g.getElementsByTagName("g-right-button")[0];b&&c&&(e= RegExp("\btHT0l\b"),k=RegExp("\bpQXcHc\b"),b.className=b.className.replace(e,""),c.className=c.className.replace(e,""),b.className=d===0?"pQXcHc "+b.className:b.className.replace(k,""),c.className=d===f?"pQXcHc "+c.className:c.className.replace(k,""),setTimeout(function(){b.className+=" tHT0l";c.className+=" tHT0l"},50))}};}).call(this);(function(){var id='sjsuid_21';var index= 0 ;var offset= 0 ;var is_rtl= false ;var is_gecko= false ;var is_edge= false ;var init='Bqpk9e';windowinit;})(); amd.com More jobs at Advanced Micro Devices, Inc See web results for Advanced Micro Devices, Inc .vyDMJf-gXhOqb-Bz112c{display:inline-block;fill:currentColor;height:24px;line-height:24px;position:relative;width:24px}.vyDMJf-gXhOqb-Bz112c svg{display:block;height:100%;width:100%} McAfee Share Lead AI Enterprise Data Engineer – eCommerce McAfee • Frisco, TX, United States • via Careers At McAfee 2 days ago Full-time No Degree Mentioned Apply on Careers At McAfee
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Apply directly on Ecommerce.jobs Apply directly on Jobs Trabajo.org (function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m<d;++m)a+=h[m].offsetWidth;a=Math.min(f,a)}a+=n;d=Math.min(e?f-a:a,f);l.scrollLeft=e&&p?a:e&&k?-a:d;var b=g.getElementsByTagName("g-left-button")[0],c=g.getElementsByTagName("g-right-button")[0];b&&c&&(e= RegExp("\btHT0l\b"),k=RegExp("\bpQXcHc\b"),b.className=b.className.replace(e,""),c.className=c.className.replace(e,""),b.className=d===0?"pQXcHc "+b.className:b.className.replace(k,""),c.className=d===f?"pQXcHc "+c.className:c.className.replace(k,""),setTimeout(function(){b.className+=" tHT0l";c.className+=" tHT0l"},50))}};}).call(this);(function(){var id='sjsuid_20';var index= 0 ;var offset= 0 ;var is_rtl= false ;var is_gecko= false ;var is_edge= false ;var init='Bqpk9e';windowinit;})(); Job highlights Identified by Google from the original job post Qualifications • 10+ years enterprise application development experience • 3+ years hands-on AI/ML experience • Expert-level Databricks experience (PySpark, Delta Lake, Workflows) • Experience with AWS for AI agent building and GenAI integrations • Strong SQL/NoSQL experience • Experience with BI tools (Power BI, Tableau, Looker, Grafana) • Reliable real-time and historical eCommerce monitoring • Improved funnel conversion via predictive analytics • Faster incident triage via AI-driven insights • Higher engineering productivity via AI copilots • Cost-efficient AI and data operations across AWS + Databricks • 8 more items(s) Benefits • We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees • Bonus Program • Pension and Retirement Plans • Medical, Dental and Vision Coverage • Paid Time Off • Paid Parental Leave • Support for Community Involvement • 4 more items(s) Responsibilities • The Lead AI Enterprise Data Engineer will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards • This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance engineering productivity, and strengthen operational intelligence across McAfee’s eCommerce ecosystem • You will be required to be on-site 2 to 3 days a week on a as needed basis; when you are not working on-site, you will work from your home office • Design operational and business metrics using transactional data, telemetry, and customer behavior data • Build near real-time dashboards for eCommerce funnel metrics, subscription flows, payments, and operational KPIs • Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture) • Optimize Databricks-based data lake structures for analytics across eCommerce and MarTech domains • Build automated data quality validation frameworks • Build AI models for anomaly detection, churn forecasting, and funnel drop-off prediction • Create AI-powered copilots and tools to boost engineering productivity • Integrate LLMs (OpenAI, Claude, LangChain, OSS models) • Build AI agents using AWS GenAI tooling • Track AI-driven KPIs and deploy enterprise/local LLM solutions • Integrate AI systems with eCommerce platform APIs, telemetry, and Databricks workflows • Build orchestration layers for automated decision-making • Architect scalable data + AI solutions using Databricks + AWS • Implement CI/CD for AI/ML workflows • Build cost optimization and AI usage governance tooling • Automate incident intelligence and reporting • 16 more items(s) More job highlights Job description Role Overview:

The Lead AI Enterprise Data Engineer will drive the transformation of eCommerce operational analytics and real-time monitoring by building scalable data pipelines, AI-powered insights, and intelligent dashboards. This role leads AI proof-of-concepts and contributes to production-grade solutions that improve platform reliability, accelerate root-cause identification, enhance enginee...ring productivity, and strengthen operational intelligence across McAfee’s eCommerce ecosystem.

This is a Hybrid position located at our Frisco, TX.

You will be required to be on-site 2 to 3 days a week on a as needed basis; when you are not working on-site, you will work from your home office.

You must be within commutable distance of Frisco, TX.

We are not offering relocation assistance at this time

About the Role

• Design operational and business metrics using transactional data, telemetry, and customer behavior data.

• Build near real-time dashboards for eCommerce funnel metrics, subscription flows, payments, and operational KPIs.

• Develop scalable data pipelines using Databricks (PySpark, Delta Lake, Workflows, Medallion Architecture).

• Optimize Databricks-based data lake structures for analytics across eCommerce and MarTech domains.

• Build automated data quality validation frameworks.

• Build AI models for anomaly detection, churn forecasting, and funnel drop-off prediction.

• Create AI-powered copilots and tools to boost engineering productivity.

• Integrate LLMs (OpenAI, Claude, LangChain, OSS models).

• Build AI agents using AWS GenAI tooling.

• Track AI-driven KPIs and deploy enterprise/local LLM solutions.

• Integrate AI systems with eCommerce platform APIs, telemetry, and Databricks workflows.

• Build orchestration layers for automated decision-making.

• Architect scalable data + AI solutions using Databricks + AWS.

• Implement CI/CD for AI/ML workflows.

• Build cost optimization and AI usage governance tooling.

• Automate incident intelligence and reporting.

About You

• 10+ years enterprise application development experience.

• 3+ years hands-on AI/ML experience.

• Expert-level Databricks experience (PySpark, Delta Lake, Workflows).

• Experience with AWS for AI agent building and GenAI integrations.

• Strong SQL/NoSQL experience.

• Experience with BI tools (Power BI, Tableau, Looker, Grafana).

• eCommerce or Martech domain knowledge preferred.

• Reliable real-time and historical eCommerce monitoring.

• Improved funnel conversion via predictive analytics.

• Faster incident triage via AI-driven insights.

• Higher engineering productivity via AI copilots.

• Cost-efficient AI and data operations across AWS + Databricks.

#LI-Hybrid

Company Overview

McAfee is a leader in personal security for consumers.

Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment.

Company Benefits and Perks:

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day.

We’re proud to be Great Place to Work® Certified in 10 countries, a reflection of the supportive, empowering environment we’ve built where people feel seen, valued, and energized to reach their full potential and thrive.

We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program

• Pension and Retirement Plans

• Medical, Dental and Vision Coverage

• Paid Time Off

• Paid Parental Leave

• Support for Community Involvement

We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. Show full description Report this listing Loading...