System Software Engineer, Profiler - GPU at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

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

Requirements

B.S. EE/CS or equivalent experience with 4+ years of experience or MS with 2+ years' experience, or Ph.D
Strong programming ability in C, C++, and scripting languages
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level
Experience with performance analysis and optimization of software on hardware accelerators
Knowledge of hardware-software co-design principles and practices
Excellent problem-solving skills and the ability to work collaboratively in a team environment
Strong communication skills, both written and verbal

Responsibilities

Design, develop and maintain our GPU performance foundation library for Nsight tools
Design, develop performance triages for upcoming and latest LLM chips
Collaborate closely with the Hardware Architecture team to co-design and optimize software and hardware interfaces
Define, invent, and improve our GPU profiling library with new features to allow NVIDIA's customers to extract the best performance out of their code base
Design and implement test plans to validate the performance and functionality of the software libraries
Stay up-to-date with the latest advancements in LLM inference, hardware acceleration, and software optimization techniques

Skills

Nsight

GPU Profiling

Performance Analysis

LLM Inference

Hardware Architecture

Software Optimization

Performance Triage

Hardware Acceleration

Distributed Computing

Test Plans

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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