Home/Careers/GPU Infrastructure Specialist

Infrastructure & Compute

GPU Infrastructure Specialist

These specialists focus on GPUs and hardware accelerators used for AI workloads.

Apply for this roleManage an applicationBack to careers

Overview These specialists focus on GPUs and hardware accelerators used for AI workloads.

Responsibilities

- Manage GPU clusters: Set up, configure, and maintain GPU-based servers.
- Optimize GPU utilization: Implement strategies for multi-GPU training, memory management, and load balancing.
- Collaborate with researchers: Provide advice on hardware requirements for large-scale experiments.
- Ensure reliability: Monitor hardware health and replace components as needed.

Qualifications

- Degree in electrical engineering or computer science.
- Experience with GPU architecture, CUDA programming, and hardware monitoring tools.

Equal chance 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 [email protected]. The application form does not request medical documentation or sensitive identity documents.

Posting information

Department Infrastructure & Compute

Public role ID TAIRC-ROLE-039

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.

📌 GPU Infrastructure Specialist (Niagara-on-the-Lake)
🏢 TAIRC
📍 Niagara-on-the-Lake