Senior Storage Performance Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, HPCIndustries

Requirements

12+ years of experience in performance engineering, benchmarking, or HPC/AI systems
Deep expertise in AI/ML and deep learning frameworks (PyTorch, TensorFlow, Triton)
Strong background in storage systems and filesystems
Proven experience with MPI, OpenMP, and Slurm in large-scale compute environments
Proficiency in Python, Bash, and automation frameworks for job orchestration and results parsing
Excellent communication skills; ability to context-switch between deep technical work and high-level business impact
BS, MS, or PhD or equivalent experience in Computer Science, Electrical Engineering, or related field

Responsibilities

Crafting and delivering performance benchmarks across AI, HPC, and enterprise storage platforms
Testing and benchmarking storage appliances (block, file, object) against NVIDIA data center solutions
Operating and adjusting AI inference and training workloads with tools like PyTorch, TensorFlow, and NVIDIA NIMs
Benchmarking and analyzing retrieval-augmented generation (RAG) pipelines, including ingestion, retrieval, and inference performance with vector databases
Profiling and optimizing MPI-based and multi-node distributed applications
Collaborating closely with product managers, system architects, and partners to fine-tune hardware/software stack performance

Skills

PyTorch

TensorFlow

Triton

NVIDIA NIMs

MPI

OpenMP

Slurm

Python

Bash

RAG

Vector Databases

Storage Systems

Filesystems

HPC

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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