High-Performance-Computing (HPC) Engineer
פורסם לפני 21 ימים · 0 מועמדים
התפקיד במילים פשוטות
מהנדס מחשוב בעל ביצועים גבוהים (HPC) אחראי על התקנה וניהול של שרתים, אחסון ומערכות רשת עבור עומסי עבודה של AI בקנה מידה גדול. התפקיד כולל אפיון עומסי עבודה, ביצוע אופטימיזציה לביצועים, פיתוח מדדי איכות ובדיקות יחידה לאבטחת אמינות המערכת.
- Bachelor's or master's degree in computer science or engineering
- Experience with HPC systems, parallel computing, and cluster management
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים לבעלי תואר במדעי המחשב או הנדסה עם ניסיון במערכות HPC, מחשוב מקבילי וניהול קלאסטרים. הוא פחות מתאים למי שאינם בעלי רקע בתשתיות מחשוב מתקדמות או למי שמחפשים משרה בשכר מובטח, שכן התפקיד עשוי להיות התנדבותי.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןHome/Careers/High-Performance-Computing (HPC) Engineer
Infrastructure & Compute
High-Performance-Computing (HPC) Engineer
HPC Engineers support and administer complex computing environments for large-scale AI workloads.
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Overview
HPC Engineers support and administer complex computing environments for large-scale AI workloads.
Responsibilities
• Support installation and administration: Install and manage HPC server, storage, and network systems.
• Define requirements and standards: Develop software quality standards, benchmarks, and processes for HPC systems.
• Characterize workloads: Analyze workloads to optimize memory and computational footprint.
• Develop unit tests: Create testing frameworks to ensure system reliability.
• Optimize performance: Tuning and profiling code to maximize efficiency on HPC architectures.
Qualifications
• Bachelor's or master's degree in computer science or engineering.
• Experience with HPC systems, parallel computing, and cluster management.
Equal opportunity
TAIRC evaluates candidates using role-related evidence and documented review criteria. Employment decisions must not be based on protected personal characteristics.
Engagement pathways and compensation status
TAIRC is currently building its funding base. Opportunities identified as volunteer or unpaid do not provide compensation at this stage. Any future paid appointment would require available funding, organizational approval, applicable legal compliance, and a separate written agreement. Participation does not guarantee future employment or compensation.
• Volunteer contribution interest may be reviewed only as a voluntary, scoped pathway.
• Educational internship interest requires separate supervision, educational purpose, and legal review.
• Advisory expressions of interest are not board or formal advisory appointments.
• Future compensated employment is contingent on funding, approval, legal compliance, and a separate written offer.
Accessibility and accommodations
For an accommodation or alternate submission format, contact hr@tairc.com. The application form does not request medical documentation or sensitive identity documents.
Posting information
Department Infrastructure & Compute
Public role ID TAIRC-ROLE-038
Status Open
Location, employment type, workplace type, compensation, sponsorship policy, posted date, and closing date are omitted unless HR has entered approved factual values.
Recruitment privacy
Application data is used for recruitment review, stored with restricted access, and handled under the recruitment privacy and retention policy.
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- Bachelor's or master's degree in computer science or engineering, Experience with HPC systems, parallel computing, and cluster management