Software Verification Manager at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, Networking, SemiconductorsIndustries

Requirements

Bachelors/master’s degree in computer science or computer engineering, or equivalent experience
Proven experience of 5+ years as a team leader, overall experience of 7+ years
Capable of multi-tasking, ability to drive people and tasks
Excellent communication and technical presentation skills
Strong debugging and analytical skills
Fast and self-learner with outstanding technical skills
Effective troubleshooting and problem-solving skills
Experience with virtualization technologies (KVM, HyperV, VMWARE, OpenStack, Kubernetes) (preferred)
Knowledge of networking protocols: InfiniBand, Ethernet (preferred)
Experience in programming (preferred)
Previous experience with Networking deployment based on 1588V2 (preferred)

Responsibilities

Lead pioneering technology qualification processes
Design and test NVIDIA large scale setups that mimic Tier 1 customers data centers workloads
Review architecture design and requirements for new features introduced in the Ethernet/InfiniBand switches and network adaptors portfolio
Design and build setup topologies for appropriate product coverage with emphasis on emulation of customer large scale/complex environments
Design, mentor testing automation team, and implement tests for new features as part of NVIDIA data center switches and network adaptors portfolio with software release cycles
Generate comprehensive test reports during release execution procedure
Assist with reproduction and debug of complex customer use cases, determine issue root cause, and serve as engineering point of contact (PIC) for full verification cycles of customer use cases fixes provided by R&D team
Report bugs found during execution, assist with reproduction and debug to understand root cause, and verify bug fixes provided by R&D team
Execute end-to-end test scenarios in different scopes: Regression, Performance, Functional, and Scale
Report testing progress and provide summary reports of testing activity

Skills

System Testing

Integration Testing

Test Automation

Ethernet

InfiniBand

Network Adaptors

Debugging

Root Cause Analysis

Performance Testing

Scale Testing

Functional Testing

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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