ASIC Design Engineer - Performance Monitoring at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, TechnologyIndustries

Requirements

B.Tech or M.Tech in Electronics or Computer Engineering
2+ years of relevant industry experience
Experience in RTL design (Verilog), System-On-Chip design/implementation flow, and design automation
Good understanding of SOC architecture (e.g., CDC, multiple-power domains, performance analysis, latency, and data flow)
Strong coding skills in Perl, Python or other industry-standard scripting languages
Excellent debugging and analytical skills
Exposure to design and verification tools (dc_shell or equivalent synthesis tools, VCS or equivalent simulation tools, debug tools like Debussy, GDB)
Exposure to AI tools is a plus
Great communication and collaboration skills to interact within the team and with cross functional teams

Responsibilities

Be an integral part of the team defining and developing system-level RTL and methodologies to measure performance on the industry's leading GPUs/SOCs
Design and implement RTL features - work through the entire design cycle for SOC
Run and debug RTL checks to ensure design quality (e.g. CDC, RDC, Lint, Synthesis, Logic-Equivalence and more)
Define, develop, and automate flows and methodologies to efficiently build and support a system-level IP
Work with architects, designers, verification and SW engineers to accomplish your tasks

Skills

Verilog

RTL

SOC

CDC

RDC

Lint

Synthesis

Perl

Python

dc_shell

VCS

Debussy

GDB

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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