Software QA Manager at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorIndustries

Requirements

B.Sc. degree or equivalent experience in Engineering/Computer Science/related field
3+ overall years of experience as a QA and QA Automation Engineer
2+ years of managerial experience
Demonstrated ability to collaborate and engage other peers in the organization and with support organizations
Experience with scripting language
Outstanding leadership, communication, interpersonal, and analytical skills with the ability to successfully lead multiple teams in highly dynamic matrix organization
Good understanding of networking concepts
Ways to stand out
Expert level in Python programming
Experience with Kubernetes, dockers & virtualization
Background with release management, V&V, E2E testing

Responsibilities

Lead the QA team from the planning stage through execution up to GA release, with the highest quality for the NVIDIA products
Collaborate with peer engineering teams, and program/product management to ensure that product requirements, goals and objectives are met or exceeded
Lead and implement analysis, debugging tracking flows with accordance to QA and SW methodologies
Review the teams test-plans for the product coverage and strive for full automation
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team
Mentor and guide the professional and technical development of the team members
Review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient way

Skills

Key technologies and capabilities for this role

QA AutomationPythonScriptingKubernetesDockerVirtualizationNetworkingTest PlanningBug TrackingRelease ManagementE2E Testing

Questions & Answers

Common questions about this position

What education and experience are required for the Software QA Manager role?

A B.Sc. degree or equivalent in Engineering/Computer Science/related field is required, along with 3+ years of experience as a QA and QA Automation Engineer and 2+ years of managerial experience.

What key skills are needed for this QA Manager position?

Candidates need demonstrated ability to collaborate with peers, experience with scripting languages, outstanding leadership, communication, interpersonal, and analytical skills, and a good understanding of networking concepts.

What does NVIDIA's company culture emphasize?

NVIDIA seeks creative and autonomous individuals, fosters a diverse work environment, and is committed to being an equal opportunity employer without discrimination.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What experience makes a candidate stand out for this role?

Expert level in Python programming, experience with Kubernetes, Docker & virtualization, and background with release management, V&V, E2E testing will help candidates stand out.

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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