NVIDIA Careers Off Campus Fresher Recruitment Drive 2026: NVIDIA is looking for fresher student for the Profile of Data Science Intern. If you want to work in Bangalore, Hyderabad location and Interested for the required for profile. You can apply for the Data Science Intern Job.
NVIDIA Off Campus Fresher Hiring 2026-Description:
| Company Website: | NVIDIA Careers |
| Last date to apply for NVIDIA | As soon as possible |
| Job Type: | Full-Time |
| Salary or Package of NVIDIA | As per the Industry |
| Hire Type: | Data Science Intern |
NVIDIA Careers Fresher Job: Hi Students, if you are recent graduate and want to work in Big Companies then you have to skill your knowledge on cutting edge tool & Data Science Intern.
Interested and Eligible candidate can apply for the above profile. You have to read the article carefully before apply the profile. There are eligibility criteria, skills required for the required profile, experience or fresher, location, and etc.
Candidate can apply for the profile of Data Science Intern. The apply link is below the article. You have to fill all the required area and submit carefully. Please, submit your working mobile number and email id because you will get the response back from company in the registered email id.
NVIDIA Entry Level Bangalore, Hyderabad Fresher Job Vacancy 2026 Update:
| Company Name: | NVIDIA |
| Job Profile: | Data Science Intern |
| Job Location: | Bangalore, Hyderabad |
| Experienced Required: | Fresher |
Seekajob is a job portal site. It will provide you latest job information like Off Campus Drive, Internship, On Campus Drive, and etc.
NVIDIA Careers is hiring Data Science Intern for the Bangalore, Hyderabad location. If you are looking job in Bangalore, Hyderabad then It is good opportunity for you. Please check all the eligibility criteria and apply though the original NVIDIA Careers Job Portal.
In this article, you will get the online apply link of NVIDIA Careers. You have to create an account on NVIDIA Job Portal with email id and other social media platform because if you are selected for the required profile then they will send the email for further rounds so keep check your registered email id.
What you’ll be doing:
- Work on all block/chip level PD activities.
- PD activities include floor plans, abstract view generation, RC extraction, PNR, STA, EM, IR DROP, DRCs & schematic to layout verification. Work in collaboration with design team for addressing design challenges.
- Help team members in debugging tool/design related issues.
- Constantly look for improvement in RTL2GDS flow to improve PPA. Troubleshoots a wide variety up to and including difficult design issues and applied proactive intervention.
- Responsible for all aspects of physical design and implementation of GPU and other ASICs targeted at the desktop, laptop, workstation, and mobile markets.
Timing Team:
The ASIC Physical Design (ASIC PD) team at NVIDIA designs and validates high-performance ASICs that power next-generation computing and AI platforms. The team works on large-scale integrated and chiplet-based silicon designs, delivering industry-leading performance, power efficiency, scalability, ultra-low latency, and maximum throughput, while ensuring robust timing closure and silicon reliability at advanced technology nodes.
What you will be doing:
- Own and drive full-chip and/or chiplet-level Static Timing Analysis (STA) from early design stages through final timing sign-off, ensuring robust timing closure.
- Lead timing convergence across multiple design partitions in a multi-mode, multi-corner (MMMC) environment, driving closure through effective cross-team collaboration.
- Contribute to top-level floorplanning, clock architecture definition, and timing budgeting, ensuring scalable and timing-aware design implementation.
- Define, review, and maintain comprehensive timing constraints (SDC) across functional and test modes to ensure accurate and efficient timing analysis.
- Collaborate closely with RTL, PnR, and DFT teams to identify and resolve timing bottlenecks while improving overall timing Quality of Results (QoR).
- Enhance and optimize timing analysis methodologies, sign-off flows, and automation in partnership with STA methodology teams to improve efficiency and scalability.
- Perform in-depth timing analysis across diverse operating scenarios and drive optimization strategies that balance performance, power, and reliability objectives.
How to apply for NVIDIA Careers Fresher Job for Data Science Intern?
Online Apply Link of NVIDIA Bangalore, Hyderabad Job: Click Here