Verification Engineer, Low Power

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
Junior
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
The Verification Engineer will verify low power features of NVIDIA's SoCs and GPUs, develop test plans, write test cases, collaborate with various teams on verification tasks, and validate silicon features. Additionally, the role requires understanding of VLSI circuits and low power design techniques.
Summary Generated by Built In

NVIDIA is seeking elite ASIC Verification Engineers to verify the design and implementation of low power features for the world’s leading SoCs and GPUs. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. At NVIDIA, our employees are passionate about parallel and visual computing. We're united in our quest to transform the way graphics are used to solve some of the most complex problems in computer science.

The GPU started out as an engine for simulating human imagination, conjuring up the amazing virtual worlds of video games and Hollywood films. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. NVIDIA is increasingly known as “the AI computing company.”

What you’ll be doing:

  • Work on structural and functional verification of low power aspects of NVIDIA’s family of chips.

  • Come up with test plans and coverage plans of these features.

  • Write test cases, test bench components like assertions and coverage points, and own verification convergence.

  • Collaborate with system level and unit level teams to cover the features well from functional, electrical, performance, and noise aspects.

  • Work with architects, designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks.

  • Validate the effectiveness of the low power features on silicon.

What we need to see:

  • BS/MS or equivalent experience with specialization related to Low Power techniques and Verification.

  • 2+ years of experience.

  • Fundamental understanding of power basics including transistor-level leakage/dynamic characteristics of VLSI circuits.

  • Knowledge of power intent formats - UPF/CPF.

  • Experience in Static Power check - tools like VCLP/MVRC or similar.

  • Hands-on knowledge in Power aware dynamic verification - NLP/MVSIM or similar tools.

  • Experience in design and verification tools (VCS or equivalent simulation tools, Verdi or other debug tools).

  • Familiarity with low power design techniques such as multi VT, Clock gating, Power gating, and Dynamic Voltage-Frequency Scaling (DVFS).

Ways to stand out from the crowd:

  • Good software programming skills. Python/Perl/C++ preferred.

  • Confident debugging and problem-solving skills.

  • Good communication skills and ability & desire to work as a great teammate.

With competitive salaries and a generous benefits package, Nvidia is widely considered to be one of the most desirable employers in the world. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Top Skills

C++
Perl
Python
The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

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. Today, NVIDIA is increasingly known as “the AI computing company.”

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