NVIDIA
Graphics is hiring for Senior Verification Engineer – Memory Subsystems
Entity
Name: NVIDIA Graphics Private Limited
Job
description: Senior Verification Engineer – Memory Subsystems
Job Reference
or code number is JR1910993
Work Experience: 5- 6 Years
Salary: Not disclosed
Educational Qualification: B.Tech./ M.Tech - Any
Specialization
Work
location: Bengaluru
Desired
profile
5+
years of relevant experience
Experience
in verification of complex IPs/units and sub-systems
Experience
in verification using random stimulus along with functional coverage and
assertion-based
verification methodologies
Expertise
in Verilog
Knowledge
in SystemVerilog or similar HVL
Experience
in verification methodologies like UVM/VMM and exposure to industry standard
verification tools for simulation and debug
Ways to stand out from the crowd:
Ways to stand out from the crowd:
Experience
in memory subsystem or network interconnect IP verification
Good
debugging and analytical skills
Scripting
knowledge (Python/Perl/shell)
Good
communication skills & dream to work as a great teammate
You
will come up with test plans, tests and verification infrastructure for complex
IPs/sub-systems
You
will build reusable bus functional models, monitors, checkers and scoreboards
following coverage driven verification methodology.
You
are expected to understand the design and implementation, define the
verification scope, develop the verification infrastructure and verify the
correctness of the design.
You
will use advanced verification methodologies like SV/UVM
You
will drive functional coverage driven verification closure
You
will be working with architects, designers, and pre and post silicon
verification teams to
accomplish
your tasks.
Company
address: NVIDIA Graphics Private Limited, C-1 "Jacaranda", Wing-A
Manyata Embassy Business Park, Outer Ring Road, Bengaluru 560045, Telephone: 080
6694 8400
Company profile
NVIDIA’S
INVENTION OF THE GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics, and revolutionized parallel computing. More
recently, GPU deep learning ignited modern AI — the next era of computing —
with the GPU acting as the brain of computers, robots, and self-driving cars
that can perceive and understand the world. SUPERCHARGED COMPUTING
FOR THE DA VINCIS AND EINSTEINS OF OUR TIME Twenty -five years ago, we set out
to transform computer graphics. Fueled by the massive growth of the gaming
market and its insatiable demand for better 3D graphics, we’ve evolved the GPU
into a computer brain at the intersection of virtual reality, high performance
computing, and artificial intelligence. NVIDIA GPU computing has become the
essential tool of the da Vincis and Einsteins of our time. For them, we’ve
built the equivalent of a time machine.
Please
Note: Kindly contact to this telephone number 080 6694 8400 for more details and make
thorough discussion with HR about the job requirement or further clarification before applying the position.
All the best :)
Website: http://www.nvidia.in/page/home.html