Senior Performance and Development Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

BS/MS/PhD (or equivalent experience) in Computer Science, Electrical Engineering or a related field
12+ years of proven experience in analyzing and improving performance of training applications using PyTorch or similar framework
12+ years of proven experience in building distributed software applications using collective communication libraries such as MPI or NCCL or UCC
12+ years of proven experience in constructing storage solutions for Deep Learning applications
12+ years of proven experience in building automated fault tolerant distributed applications
12+ years of proven experience in building tools for bottleneck analysis and automation of fault tolerance in distributed environments
Strong background in parallel programming and distributed systems
Experience analyzing and optimizing large scale distributed applications
Excellent verbal and written communication skills

Responsibilities

Build AI models, tools and frameworks that provide real time application performance metrics that can be correlated with system metrics
Develop automation frameworks that empower applications to thoughtfully predict and overcome system/infrastructure failures, ensuring fault tolerance
Collaborate with software teams to pinpoint performance bottlenecks
Design, prototype, and integrate solutions that deliver demonstrable performance gains in production environments
Adapt and enhance communication libraries to seamlessly support innovative network topologies and system architectures
Design or adapt optimized storage solutions to boost Deep Learning efficiency, resilience, and developer productivity

Skills

PyTorch

MPI

NCCL

UCC

distributed systems

performance optimization

AI infrastructure

ML workloads

automation frameworks

collective communication

fault tolerance

storage solutions

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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