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79 Uplers Jobs

GPU Data Engineer (Nvidia Libraries & AI Workloads)

5-8 years

Hyderabad / Secunderabad

1 vacancy

GPU Data Engineer (Nvidia Libraries & AI Workloads)

Uplers

posted 7d ago

Job Role Insights

Flexible timing

Job Description


GPU Data Engineer (Nvidia Libraries & AI Workloads)

Experience: 5+ years
Salary : Competitive
Preferred Notice Period: Within 30 Days
Shift: 10:00 AM to 6:00 PM IST
Opportunity Type: Remote
Placement Type: Contractual
Contract Duration: Full-Time, 06 Months

(*Note: This is a requirement for one of Uplers' Partners)

What do you need for this opportunity
Must have skills required :
CUDA, TensorRT, Python, C++, Apache Flink, cuDNN, NCCL, Dask
Good to have skills :
Pandas, AWS, GCP, Azure, NVIDIA AI TOOLS

Our Hiring Partner is Looking for:
Data Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.

Role Overview Description
● Support data processing and pipeline development for NVIDIA GPUs.
● Collaborate with system engineers to execute AI jobs efficiently on NVIDIA infrastructure.
● Compare performance outcomes between NVIDIA and Cerebras for Client-specific AI projects.

Technical Skills:
● NVIDIA GPU Ecosystem: Proficiency in NVIDIA software libraries such as CUDA, cuDNN, NCCL, and TensorRT.
● Machine Learning Pipelines: Experience with building and optimizing data pipelines for AI workloads on NVIDIA GPUs.
● Programming Languages: Expertise in Python, C++, or Go for developing and deploying GPU-accelerated data pipelines.
● Data Preprocessing: Familiarity with frameworks like Dask, Apache Flink, or Pandas for efficient data preparation on GPU clusters.
● Cloud Integration: Knowledge of deploying and scaling GPU workloads on cloud platforms (AWS, GCP, or Azure) leveraging NVIDIA GPUs.

Qualifications:
● Degree in Data Engineering, Computer Science, or comparable practical experience.
● Experience with data processing for AI models particularly on GPU infrastructure.
● Familiarity with NVIDIA’s AI tools and frameworks.

How to apply for this opportunity

  1. Register or login on our portal
  2. Click 'Apply,' upload your resume and fill in the required details.
  3. Post this click ‘Apply Now' to submit your application.
  4. Get matched and crack a quick interview with our hiring partner.
  5. Land your global dream job and get your exciting career started!


About Our Hiring Partner:
Edstem Technologies is a dynamic and fast-growing software company, with service offerings in custom software development, mobile app development, managed services, offshore augmentation, and software consulting. We translate the ideas and requirements of our clients into smart solutions in cutting-edge technologies, by employing agile tools and practices while involving them in every step of development. Our delighted clientele spanning the globe in multiple domains is a testimony both to the quality of our deliverables and to the technical prowess of our highly skilled team. We have a talent pool that is well-equipped to work on the latest technology and highly demanding projects, positioning us also as a key player in supplying technology manpower for clients across the globe.


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 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!


Employment Type: Full Time, Temporary/Contractual

Read full job description

Prepare for Data Engineer roles with real interview advice

People are getting interviews at Uplers through

(based on 30 Uplers interviews)
Job Portal
Referral
Company Website
63%
20%
7%
10% candidates got the interview through other sources.
High Confidence
?
High Confidence means the data is based on a large number of responses received from the candidates.

What people at Uplers are saying

Data Engineer salary at Uplers

reported by 2 employees with 6-7 years exp.
₹31.5 L/yr - ₹40.2 L/yr
247% more than the average Data Engineer Salary in India
View more details

What Uplers employees are saying about work life

based on 353 employees
61%
94%
95%
77%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

Uplers Benefits

Submitted by Company
Workations
Emergency Loans
Open Door Policy
Learning and Development
Company Laptop and Internet Reimbursement
Work from Anywhere +3 more
Submitted by Employees
Work From Home
Health Insurance
Job Training
Soft Skill Training
Team Outings
Education Assistance +6 more
View more benefits

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