ASIC Design Engineer 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

Semiconductor, Artificial IntelligenceIndustries

Requirements

BS / MS or equivalent experience
2+ years of experience
Proven knowledge in implementation of complex features or units
Expertise in micro architecture definition, RTL coding using Verilog or System Verilog
Expertise in using design and verification tools (Synthesis, lint, VCS or equivalent simulation tools, debug tools like Debussy, GDB)
Experience in memory management unit, interconnect design and cache controller design desirable
Good debugging and problem solving skills
Scripting knowledge
Good interpersonal skills and ability & desire to work as a teammate are a huge plus

Responsibilities

Work with system architects to understand the functional and performance requirements of a unit or feature
Define micro-architecture and develop RTL for owned unit and/or feature
Work with verification and physical design teams to ensure that the unit or feature is accurately verified and implemented
Own silicon bring-up in conjunction with post silicon validation and SW teams
Mentor junior engineers and guide them in their work

Skills

Verilog

SystemVerilog

RTL

Micro-architecture

Synthesis

Lint

ASIC Design

SoC

Silicon Bring-up

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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