System Software Engineer - GPU/SoC Profiling 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

Gaming, Deep Learning, Automotive, Embedded, High Performance ComputingIndustries

Requirements

B.Tech. EE/CS or equivalent with 2+ years of work experience or M.Tech. with 1+ years experience, or Ph.D
Strong programming ability in C, C++, scripting languages
Knowledge of Computer Architecture (preferably ARM CPUs/SoCs or GPUs)
Sound Operating Systems fundamentals
Knowledge of hardware-software co-design principles and practices

Responsibilities

Work with multi-disciplinary teams to design, implement, and verify performance metrics and collection methodologies for NVIDIA GPUs, Video, Vision and many other accelerators
Work on developing and improving methodologies for profiling data collection from GPUs/SoCs
Define, invent, and improve our profiling library with new features to allow NVIDIA's customers to extract the best performance out of their code base
Read and understand HW specs to design solutions based on it
Work on software unit level tests and framework ensuring the quality of the product

Skills

C++

CUDA

OpenCL

OpenGL

Direct3D

Vulkan

ARM

GPU

PCIe

InfiniBand

Device Drivers

System Software

Computer Architecture

Operating Systems

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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