System Software Engineer - Networking at NVIDIA

Austin, Texas, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Networking, AI, Cloud ComputingIndustries

Requirements

Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience)
2+ years of familiarity with Linux datacenter network engineering along with 1+ years of exposure to and comprehension of standard practices in software development
Strong proficiency in Python/Bash scripting languages
In-depth knowledge of Linux operating systems, command-line tools, and computer networking
Strong analytical and problem-solving skills, with the ability to debug and isolate software defects
Excellent written and verbal communication skills
Ability to work effectively both independently and collaboratively within a team environment
Outstanding attention to detail and a dedication to delivering top-quality software solutions

Responsibilities

Collaborate with multi-functional teams, including software developers, network engineers, architects, customer solutions engineers, and product managers to understand customer use cases and compose test strategies to ensure the successful delivery of high-quality software solutions
Carry out functional, integration, regression, and performance testing for software applications, firmware attributes, tools, and networking protocols aligning with designated user situations
Identify, debug, and report software defects, inconsistencies, and other quality issues
Develop and maintain test automation frameworks and scripts using Python and Bash
Work with planning and tracking systems to manage the release progress and build release indicators
Participate in code reviews, provide feedback, and suggest improvements to enhance the quality and maintainability of the software
Continuously monitor and evaluate the effectiveness of test processes and methodologies, recommending improvements as necessary
Stay up to date with industry best practices, new technologies, and emerging trends in software verification and QA

Skills

Python

Bash

Linux

Networking Protocols

Ethernet

InfiniBand

Test Automation

Software Testing

Code Review

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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