Software Test Development Engineer - Deep Learning at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Deep Learning, Autonomous Driving, HealthcareIndustries

Requirements

BS or higher in CS/EE/CE or equivalent experience
4+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills
Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience
Good C/C++ software development or test development experience
Good user/development experiences of virtualization like VM & Docker container
Understanding and working knowledge with any Deep Learning Framework and models especially in end-to-end customer scenarios
Experience in validating Deep Learning software and Deep Learning models
Experience in using AI development tools for test plans creation, test cases development and test cases automation
Able to balance conflicting/changing priorities and maintain a positive attitude while experiencing ambitious and dynamic schedules
Excellent English written and oral communication skills

Responsibilities

Work closely with global multi-functional teams to understand the test requirements and take ownership of product quality
Plan/design/implement/report/automate test plan/test case/test reports
Run bug lifecycle and co-work with inter-groups to work towards solutions
Automate test cases and assist in the architecture, crafting and implementing of test frameworks
In-house repro and verify customer issues/fixes

Skills

Python

Perl

Bash

C++

UNIX

Linux

Docker

Deep Learning Framework

Test Automation

Software Quality Assurance

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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