IIT Kanpur Project Executive Officer HPC Recruitment 2026

IIT Kanpur Project Executive Officer Recruitment 2026: Overview

Indian Institute of Technology Kanpur (IIT Kanpur) is hiring a Project Executive Officer in its Department of Computer Science and Engineering. The appointment supports a high-performance computing (HPC) cluster that combines central processing units (CPUs) and graphics processing units (GPUs). This is a project contract centred on the computing infrastructure used by researchers, including workloads for artificial intelligence and machine learning.

Service Conditions and Caveats

• Contract tenure: You will join on an initial one-year appointment. An extension depends on an assessment of satisfactory performance, so continued engagement is conditional rather than automatic.
• Nature of engagement: The institute describes the position as temporary and contractual. The appointment is within the project employee framework set out in this advertisement.
• Changes to the appointment: The committee may change the number of openings and the length of the appointment. Keep this reservation in mind when reading the advertised terms.
• Travel costs: If you are asked to attend in person, the institute will not pay travel or daily allowance. You will need to meet those expenses yourself.
• Submission restriction: The notice accepts applications through its named Google Form only. An email message or a physical application does not count as an application for this post.
• Queries: You can contact t3ilab@cse.iitk.ac.in and copy head@cse.iitk.ac.in if you need clarification. These addresses are for questions; they do not replace the prescribed application route.
• Project contact: The notice names Prof. Surender Baswana, Principal Investigator of T3i Lab (LDA) and Head of the Department of Computer Science and Engineering, IIT Kanpur, as the contact for this recruitment.

• Maintain the CPU-GPU high-performance computing cluster.
• Provide hardware and software support to cluster users.
• Help users port applications to the HPC system, including hybrid CPU-GPU workloads for AI and machine learning.
• Conduct or coordinate training on HPC systems and software.
• Monitor cluster health to identify infrastructure problems early.
• Implement preventive infrastructure upgrades and regular software updates.