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Home/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.
- Bachelor's or master's degree in computer science or engineering.
- Experience with HPC systems, parallel computing, and cluster management.
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.
For an accommodation or alternate submission format, contact [email protected]. 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.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.