Senior Test Development Software Engineer - Aerial at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TelecomIndustries

Requirements

BS or higher degree or equivalent experience in CS/EE/CE or equivalent with 5+ years QA experience in Telecom industry
Experience using AI tools for QA tasks
Familiarity with AI-powered testing frameworks and platforms that improve process efficiency
Strong understanding of QA methodologies and the ability to integrate AI tools into existing workflow
Background with LTE/5G MAC and PHY from both systems and low-level 3GPP spec point of view, proficient experience in Keysight equipment
Proficient Linux experience and shell/python/perl programming skills
Rich experience in test cases development, tests automation and failure analysis
Good QA sense, knowledge and experience in software testing
Problem solving skills
Highly motivated, with excellent interpersonal skills, good work ethics and a high sense of teamwork

Responsibilities

Utilizing AI-powered tools to enhance QA efficiency, including automating test case generation, defect detection, and regression testing
Implementing AI-driven solutions to optimize test coverage and identify high-risk areas in software systems
Collaborating with cross-functional teams to adopt AI tools that improve workflow automation and reduce manual effort
Work closely with multi-functional teams to understand the test requirements and take ownership of product quality
Develop test plans, design test cases, complete testing via automation and/or manually and compose test reports
Build and maintain our complicated test environments
Manage bug lifecycle and co-work with inter-groups to drive for solutions
Assist in the architecture, crafting and implementing of SWQA test frameworks
Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team, raise if not fixed

Skills

Test Automation

AI-powered QA

Test Case Generation

Defect Detection

Regression Testing

Test Frameworks

Bug Lifecycle Management

Test Environments

Code Coverage

AI Development Tools

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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