Senior Verification Engineer - Hardware
NVIDIA is hiring a Senior Verification Engineer - Hardware in Bengaluru, India. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!
We are now looking for passionate, highly motivated and creative individuals to be part of our automotive verification team. As a verification owner, you will work on projects that will define the next generation of automotive chips and systems. You will get firsthand exposure to high performance CPU and Memory sub-systems, NOC based Interconnect Fabric, High speed IO's and many other leading technologies deployed in our Tegra chips.
What you will be doing:
You will be responsible for creation of "state of the art" UVM based verification test benches and methodologies to verify complex IP's and Sub-systems. You will also get to work on System level verification using C/C++. During the course of a project you would end up driving the following aspects of verification for your unit:
Architect the testbenches and craft verification environment using UVM methodology
Define test plans, tests and verification infrastructure for modules, clusters and system
Build efficient and reusable bus functional models, monitors, checkers and scoreboards
Implement functional coverage and own verification closure
Work with architects, designers, FPGA and post-silicon teams to ensure that your unit is robust
What we need to see:
You should be BTech/MTech with 5+ years of experience in verification closure of complex Unit, Sub-system or SOC level verification. If you have experience in at least a few of the following domains, we will have an excellent match for our needs:
CPU verification, Memory controller verification, Interconnect verification
High Speed IO verification (UFS/PCIE/XUSB)
10G/1G Ethernet MAC and Switch
Bus protocols (AXI/APB)
System functions like Safety, Security, Virtualization and sensor processing
Experience in the latest verification methodologies like UVM/VMM
Exposure to industry standard verification tools for simulation and debug is a requirement
Exposure to Formal verification would be excellent
Good debugging and analytical skills.
Good interpersonal skills, ability to work as an excellent teammate with excellent communication skills to collaborate with cross-cultural teams and work in a matrix organization
With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative and independent, with a genuine real passion for technology, we want to hear from you.
#LI-Hybrid
How we rate this
Senior Verification Engineer - Hardware at NVIDIA rates 28 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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