Senior Software Engineer, AI Storage Infrastructure at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Good knowledge of Linux kernel internals, Filesystem, Object storage systems, Databases, Vector Databases
Good understanding of NVMe and related technologies
Development experience in Cloud, Virtualization (VMware, KVM), Container technologies
Advanced knowledge in Computer Architecture
Solid understanding in data structures and algorithms
Bash and Python experience
Excellent communication and planning skills
BS or MS or PhD in computer science or a related field or equivalent experience
7+ years of strong coding experience using C, C++, Rust, Python

Responsibilities

Work on first solutions in the industry that bring exceptional performance and security improvements to the infrastructure used by leading applications
Develop new features and enable various technologies around data storage for GPU IO
Develop advanced C++/CUDA libraries and algorithms for speed-of-light performance
Remove performance bottlenecks by coming up with optimization(s) in the IO stack, frameworks, and applications
Work collaboratively with other specialists including the research teams and be willing to take on complex engineering tasks that progress towards the goals of the team and the company

Skills

C++

CUDA

Linux Kernel

NVMe

Filesystems

Object Storage

Vector Databases

Databases

Python

Rust

Bash

VMware

KVM

Containers

Computer Architecture

Data Structures

Algorithms

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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