- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: GPU Infrastructure & Data Center Engineer.
Urgent! GPU Infrastructure & Data Center Engineer Job Opening In Hyderabad – Now Hiring PhoQtek labs
About the Role We are seeking a highly skilled IT Solutions & GPU Infrastructure Lead to take complete ownership of our GPU-based server infrastructure.
This role focuses on next-generation GPU systems used for AI/ML workloads, covering every aspect from data center colocation and setup to GPU slicing, MIG management, resource allocation, optimization, and compliance.
You will lead the end-to-end lifecycle of GPU infrastructure — ensuring all servers are optimized, secure, and production-ready for both internal and customer use.
Key Responsibilities
Colocation & Infrastructure Setup
GPU colocation and end-to-end infrastructure setup will be entirely under your ownership and responsibility.
Coordinate with data centers for rack installation, power, and cooling.
Deploy and configure GPU-based servers for production readiness.
2.
GPU & AI/ML Infrastructure
Manage GPU slicing and MIG (Multi-Instance GPU) for multi-tenant workloads.
Install and maintain the NVIDIA software stack — CUDA, cuDNN, NCCL, and DCGM.
Optimize GPU infrastructure for AI/ML workloads (TensorFlow, PyTorch, RAPIDS).
Support multi-GPU scaling using NVLink and PCIe passthrough.
3.
Systems & Virtualization
Administer Linux-based environments (Ubuntu, CentOS, Rocky) along with other environments.
Manage virtualization platforms such as VMware, KVM, or Proxmox with GPU passthrough.
Handle container orchestration with Docker and Kubernetes GPU Operators.
Integrate high-performance storage (NFS, Ceph, SAN/NAS) for large-scale datasets.
4.
Monitoring & Performance Optimization
Monitor GPU and system performance using Prometheus, Grafana, NVIDIA DCGM, and nvidia-smi.
Proactively detect, analyze, and resolve GPU or system bottlenecks.
Optimize GPU nodes for training and inference performance.
Implement structured logging, alerts, and usage reporting.
one should have to administer, manage, monitor and maintain GPU infrastructure for AI workloads.
5.
Security & Compliance
Harden GPU servers for multi-tenant workloads.
Manage driver, firmware, and software license compliance.
Ensure infrastructure security and audit readiness with periodic patching and updates.
6.
Networking & High-Performance I/O
Configure and maintain high-speed network fabrics (InfiniBand, RDMA, RoCE).
Optimize low-latency interconnects for distributed GPU workloads.
Troubleshoot and enhance data transfer performance.
7.
Customer & Infrastructure Ownership
Serve as the primary contact for GPU resource allocation.
Provision GPU slices or MIG instances for internal and external teams.
Troubleshoot, document, and optimize workload performance.
Qualifications
Proven experience in data center server setup and colocation.
Deep expertise in GPU server administration (NVIDIA A100/H100 or equivalent).
Strong working knowledge of GPU slicing, MIG, CUDA, NCCL, and NVIDIA drivers.
Experience with Linux administration, virtualization (VMware/KVM/Proxmox), and containers (Docker/Kubernetes).
Hands-on experience with AI/ML frameworks such as TensorFlow and PyTorch.
Familiarity with monitoring tools (Prometheus, Grafana, DCGM).
Knowledge of storage systems (NFS, Ceph) and high-performance networking.
Strong vendor coordination and infrastructure management skills.
Why This Role Matters
This position owns the entire lifecycle of GPU-based infrastructure — from colocation to slicing, monitoring, and optimization.
You will build and maintain the backbone of our AI/ML infrastructure, ensuring that all systems are efficient, scalable, and production-grade.
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your GPU Infrastructure Potential: Insight & Career Growth Guide
Real-time GPU Infrastructure Jobs Trends in Hyderabad, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for GPU Infrastructure in Hyderabad, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 7359 jobs in India and 572 jobs in Hyderabad. This comprehensive analysis highlights market share and opportunities for professionals in GPU Infrastructure roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! PhoQtek labs is currently hiring and seeking a GPU Infrastructure & Data Center Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: GPU Infrastructure & Data Center Engineer Jobs Hyderabad.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PhoQtek labs adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a GPU Infrastructure & Data Center Engineer Jobs India varies, but the pay scale is rated "Standard" in Hyderabad. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for GPU Infrastructure & Data Center Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for GPU Infrastructure & Data Center Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your GPU Infrastructure & Data Center Engineer interview at PhoQtek labs, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PhoQtek labs's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for GPU Infrastructure & Data Center Engineer is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!