Senior Software Test Development Engineer - Deep Learning at NVIDIA

Shanghai, China

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Autonomous Driving, HealthcareIndustries

Requirements

BS or higher degree in CS/EE/CE or equivalent
5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills
Scripting language (Python, Bash) knowledge and UNIX/Linux experience
Good Python software development or test development experience
Good user/development experience of virtualization like VM & Docker container & k8s
Excellent English written and oral communication skills
Multiple GPUs P2P workload developing/testing
Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules
Proven success in leveraging AI (development) tools to significantly improve efficiency, streamline workflows, enhance process automation, create test cases and increase code coverage
Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads
Experience with AI tools for coding (like Cursor, Gemini, NotebookLM)

Responsibilities

Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality
Plan/design/execute/report/automate test plan/test case/test reports
Manage bug lifecycle and co-work with inter-groups to drive for 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

Bash

UNIX/Linux

Docker

Kubernetes

Test Automation

GPU

Deep Learning

Virtualization

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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