System Software Engineer, Distributed Systems at NVIDIA

Santa Clara, California, 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

Semiconductor, TechnologyIndustries

Requirements

B.S. CS/EE (or equivalent experience)
5+ years developing large-scale software applications in at least two programming languages
Solid computer science fundamentals in algorithms/data structures/complexity analyses
Understand processes, synchronization, locks, concurrency, and load-balancing
Excellent grasp of distributed systems and compute abstractions
Experience building custom solutions around open-source products and libraries to solve feature-gaps fast

Responsibilities

Design, development, and delivery of core components of next-generation VLSI productivity platforms
Design, build, deploy, and improve highly scalable systems
Translate high-level requirements into actionable plans/deliverables
Leverage LLMs to accelerate (not replace) your contribution while taking ownership of your output
Convert legacy codebases into modern powerhouses infused with industry best-practices
Collaborate with engineering teams to identify and alleviate bottlenecks in their daily tasks

Skills

Distributed Systems

Algorithms

Data Structures

Concurrency

Synchronization

Locks

Load-Balancing

Perl

Python

Filesystems

Job-Scheduling

JSON-RPC

LLMs

Scalable Systems

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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