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, NetworkingIndustries

Requirements

B.S degree or equivalent experience in Engineering/Computer Science/related field
5+ years of proven experience in Software Quality Engineering
Strong technical abilities, problem-solving, design, coding, and debugging skills
Hands-on experience on any Layer2 and Layer3 protocols like MLAG, VLAN, STP, OSPF, BGP, EVPN, etc
Experience with using test tools from 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 ability and good interpersonal skills
Solid understanding of software engineering practices

Responsibilities

Functional Testing of various Layer2 and Layer3 features of NVIDIA-Mellanox Spectrum series Ethernet Switch systems running NVIDIA-Cumulus Linux
Write detailed feature and system test plans, and define and design test beds and topologies
Report issues found during testing into the defect tracking system and validate the fixes and workarounds
Develop automated test suites for different features of NVIDIA-Cumulus Linux
Build and maintain automation required to ensure quality via continuous functional regression
Collaborate with design, test and other internal engineering groups to identify, report, and resolve issues found during testing
Participate in requirements and design reviews

Skills

Key technologies and capabilities for this role

PythonLinuxUnixMLAGVLANSTPOSPFBGPEVPNIxiaSpirentLayer2Layer3Automation

Questions & Answers

Common questions about this position

What is the salary range for this position?

The base salary range is 148,000 USD - 235,750 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

Is this role remote or hybrid?

This is a hybrid role.

What skills are required for this Senior System Software Test Engineer role?

Required skills include 5+ years in Software Quality Engineering, hands-on experience with Layer2 and Layer3 protocols like MLAG, VLAN, STP, OSPF, BGP, EVPN, experience with test tools from Ixia or Spirent, strong Python or scripting skills, and experience on Unix or Linux-based OS.

What is the company culture like at NVIDIA for this team?

NVIDIA has forward-thinking and hardworking people, with exclusive engineering teams rapidly growing due to unprecedented growth. The role involves collaborating with design, test, and other internal engineering groups in a dynamic Software Verification Team.

What makes a candidate stand out for this position?

Candidates stand out with knowledge in performance testing and troubleshooting performance issues, and experience with CI methodology & tools like Git, Gerrit, Jenkins.

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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