AI Infrastructure / GPU Engineer
Job Description & Overview
Eligibility Criteria & Requirements
How to Apply
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Frequently Asked Questions (FAQs)
How to apply for AI Infrastructure / GPU Engineer at Artificial Intelligence Delivery Unit?
Applicants must follow the official guidelines outlined above. If an online application link is provided, click "Apply Online Now" to visit the official career portal. Otherwise, submit hard copies of your CV, degrees, CNIC, and photos to the specified postal address.
What is the application deadline for this position?
The last date to submit your application for this position is 12 November 2026. Applications submitted after the deadline will not be accepted.
What qualifications are required for this role?
Candidates applying for AI Infrastructure / GPU Engineer should hold a minimum qualification of Masters/Bachelors (Hons) (16 years), Years of Education, Electrical Engineering, Computer Engineering/Science with At least 5 years operating GPU/accelerated compute or ML infrastructure at scale, including production model serving.Skills & Competencies:• GPU/accelerator tooling and accelerated runtimes• Kubernetes and GPU scheduling• Model-serving frameworks (Triton, vLLM, TGI or equivalent)• Linux, containers and infrastructure-as-code• Python/BashKey Performance Indicators (KPIs):• GPU utilisation and cost per training/inference hour• Model-serving latency and availability experience as specified by Artificial Intelligence Delivery Unit.
Where is this job located?
This job position is located in LAHORE, Punjab, Pakistan.
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Job Summary
- Sector Government
- City LAHORE
- Eligible Gender Both
- Total Views 1
- Posted Date 05 Nov 2026