Senior System Software Test Engineer, Networking 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, Networking, AI, Data CentersIndustries

Requirements

B.S degree or equivalent experience in Engineering/Computer Science/related field
5+ years of proven experience in Software Quality Engineering; with 3+ years of shown experience in handling escalations
Strong technical abilities, problem-solving, design, coding, and debugging skills
Hands-on experience on any Layer2 and Layer3 protocol like MLAG, VLAN, STP, OSPF, BGP, EVPN, etc
Experience in using test tools like Ixia or Spirent, and working experience with test management tools
Strong skills in Python or other scripting languages
Good experience working on Unix or Linux-based OS
Multi-tasking abilities and good interpersonal skills
Proven understanding of software engineering practices

Responsibilities

Internally replicating customer deployments and conducting customer-focused testing
Reproducing customer-found defects
Collaborating with field teams and development to quickly resolve customer issues from the engineering side
Engaging with customers to assist with deployments and upgrades
Driving post-escalation RCA to identify patterns and areas for improvement
Functional Testing of various Layer2 and Layer3 features of NVIDIA-Mellanox Spectrum series Ethernet Switch systems running NVIDIA-Cumulus Linux
Writing detailed feature and system test plans, and define and design test beds and topologies
Reporting issues found during testing into the defect tracking system and validate the fixes and workarounds
Developing automated test suites for different features of NVIDIA-Cumulus Linux
Building and maintaining automation required to ensure quality via continuous functional regression
Collaborating with design, test and other internal engineering groups to identify, report, and resolve issues found during testing
Participation in requirements and design reviews

Skills

Cumulus Linux

Networking

Layer 2

Layer 3

Ethernet Switches

Functional Testing

Test Automation

Test Planning

Defect Tracking

Root Cause Analysis

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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