GPU Performance Profiling Engineer at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 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
Demonstrated expertise in the software stack, encompassing C/C++/Python applications and both user-mode and kernel-mode drivers
Proven knowledge of CPU and/or GPU architecture (e.g.: x86, ARM CPUs, GPUs)
Solid understanding of hardware pipeline concepts, with a willingness to work at a detailed implementation level
Knowledge of performance analysis concepts, particularly of GPU applications
Proficiency in hardware-software co-design principles and practices

Responsibilities

Analyze hardware/software feature sets for next generation GPU and SoC performance tools
Review next generation chip features for high-quality developer tools support, ensuring observability of critical performance behaviors
Collaborate with developer tools engineers, software library developers, and GPU architects on new features
Prototype new data collection methods to improve GPU dev tools quality and reduce time/cost to market
Refine data collection with NVIDIA's GPU Architecture and Developer Technology teams

Skills

Key technologies and capabilities for this role

C++PythonGPU architectureCPU architecturex86ARMkernel-mode driversuser-mode driversperformance profilinghardware pipeline

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A B.S. in EE/CS (or equivalent) with 4+ years of experience, or MS with 2+ years, or Ph.D. is required. Expertise in the software stack including C/C++/Python applications and user-mode/kernel-mode drivers is essential.

What key skills make someone stand out for this position?

Strong programming in C, C++, and scripting languages, background in performance analysis tools and hardware, CUDA or GPU programming experience, and prior work on developer tools or device drivers will help candidates stand out.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What kind of company culture does NVIDIA have?

NVIDIA seeks creative and autonomous individuals, with dedicated and hard-working team members, fostering innovation in groundbreaking products for sectors like gaming and deep learning.

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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