Architect - GPU Performance at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial Intelligence, AutomotiveIndustries

Requirements

BE/BTech, or MS/MTech in relevant area, PhD is a plus, or equivalent experience
3+ years of experience with exposure to performance analysis and complex system on chip and/or GPU architectures
Strong understanding of System-on-Chip (SoC) architecture, graphics pipeline, memory subsystem architecture and Network-on-Chip (NoC)/Interconnect architecture
Expert hands on competence in programming (C/C++) and scripting (Perl/Python)
Exposure to Verilog/System Verilog, SystemC/TLM is a strong plus
Strong debugging and analysis (including data and statistical analysis) skills, including use for RTL dumps to debug failures
Hands on experience developing performance simulators, cycle accurate/approximate models for pre-silicon performance analysis is a strong plus

Responsibilities

System level performance analysis/bottleneck analysis of complex, high performance GPUs and System-on-Chips (SoCs)
Work on hardware models of different levels of abstraction, including performance models, RTL test benches, emulators and silicon to analyze performance and find performance bottlenecks in the system
Understand key performance use-cases of the product. Develop workloads and test suits targeting graphics, machine learning, automotive, video, compute vision applications running on these products
Work closely with the architecture and design teams to explore architecture trade-offs related to system performance, area, and power consumption
Develop required infrastructure including performance models, testbench components, performance analysis and visualization tools
Drive methodologies for improving turnaround time, finding representative data-sets and enabling performance analysis early in the product development cycle

Skills

GPU

SoC

Performance Analysis

Bottleneck Analysis

Performance Modeling

RTL Testbenches

Emulators

Silicon Analysis

Machine Learning

Graphics

Automotive

Computer Vision

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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