HPC Engineer

Yotta Data Services Private Limited; Mumbai; On-site; INR 400,000 - 700,000; Full time

Job summary

Yotta Data Services Private Limited in Mumbai seeks a Senior AI/HPC Engineer to join its Infrastructure Specialist team. You will deploy, manage and optimize AI/HPC infrastructure on Linux for large-scale projects, ensuring high availability and performance.

You will interact with customers, partners and internal teams, provide planning input, perform handovers, and contribute to performance tuning, scheduling with SLURM/LSF/PBS Pro, and Kubernetes integration across HPC environments.

Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering or related field, or equivalent experience.
• 4–8 years delivering in-depth support and deployment services for hardware and software products.
• Strong Linux system administration, process management, and networking skills.
• Experience with HPC cluster technologies and job schedulers (SLURM, LSF, PBS Pro).

Responsibilities

• Deploy, manage and maintain AI/HPC infrastructure in Linux environments for customers.
• Manage day-to-day operations for server infrastructure and troubleshoot issues.
• Serve as domain expert with customers during planning calls and implementation.
• Provide handover documentation and knowledge transfer for rollout.
• Offer feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements.

Skills

Linux System Administration

Cluster management

Networking

Performance troubleshooting

MPI

HPL/NCCL

Education

Bachelor's degree in Computer Science, Electrical Engineering or related field

Tools

Kubernetes

SLURM

LSF

PBS Pro

XCAT

Base Command Manager

HPCM

Job description

We are looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Join the team building many of the largest and fastest AI/HPC systems in the world! we are looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.

What you will be doing:

Primary responsibilities will include deploying, managing and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.

Managing day to day operations for server infrastructure which includes troubleshooting

Be the domain expert with customers during planning calls through implementation.

Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!

Provide feedback into internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.

4-8 years providing in-depth support and deployment services, solving problems for hardware and software products.

Knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring).

Cluster management technologies.

Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.

Strong organizational skills and ability to prioritize/multi-task easily with limited supervision.

Strong knowledge on HPL/NCCL/BIOS settings and Performance troubleshooting

Experience with Schedulers such as SLURM, LSF, PBS pro, etc.

Experience in node provisioning software such as Base Command Manager, XCAT, HPCM

Ways to stand out from crowd:

InfiniBand or Ethernet Experience.

Experience with GPU-focused hardware/software.

Experience with MPI.

knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.