System Engineer Nvidia Team (Remote)

IT/Dev
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Uplers

System Engineer Nvidia Team (Remote)

System Engineer Nvidia Team | Uplers | India

Experience: 4.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

...

System Engineer Nvidia Team | Uplers | India

Experience: 4.00 + years

Salary: Confidential (based on experience)

Shift: (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type: Remote

Placement Type: Full time Permanent Position

(*Note: This is a requirement for one of Uplers’ client – Solarsystek)

What do you need for this opportunity?

Must have skills required:

System Optimization, Containerization, Ml frameworks, NVIDIA Hardware, GPU Cluster Management, TensorFlow, Pytorch, MXNet

Solarsystek is Looking for:

System Engineer – NVIDIA Team

Responsibilities:

  • Manage and configure NVIDIA clusters for AI job execution.
  • Collaborate with clients to understand AI workloads and execute jobs on NVIDIA hardware.
  • Support the setup of custom hardware environments and benchmark performance.
  • Ensure smooth system operation and troubleshoot technical issues as needed.

Technical Skills:

  • NVIDIA Hardware: Deep knowledge of NVIDIA hardware (A100, H100) and GPU architecture for

system tuning and job scheduling.

  • GPU Cluster Management: Experience with cluster orchestrators like Kubernetes, Singularity, or

DCGM (NVIDIA Data Center GPU Manager).

  • System Optimization: Expertise in resource management, load balancing, and performance

optimization for GPU clusters.

  • Containerization: Proficiency with Docker, NVIDIA Container Toolkit, and orchestration of GPU

workloads via Kubernetes or Helm charts.

  • ML Frameworks: Understanding of deep learning tools like TensorFlow, PyTorch, and MXNet

for running AI jobs on NVIDIA clusters.

Qualifications:

  • Bachelor’s degree in Systems Engineering or similar field or comparable practical experience.
  • Minimum 4 years of experience with NVIDIA GPU hardware and software for AI.
  • Knowledge of job scheduling, resource management, and GPU cluster optimization.

How to apply for this opportunity?

  • Register or login on our portal & fill out the application form.
  • Clear the given Video Screening (30 min) and Click on ‘Apply’ to get shortlisted
  • Once it’s all done, your profile will be shared with the client for the Interview round.
  • When selected, just meet the client and get your exciting career started!

About Uplers:

Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.

(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don’t hesitate to apply today. We are waiting for you!

Show more

Show less

Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

Load more listings
When applying state you found this job on Pangian.com Remote Network.