Senior Software Test Development Engineer - Deep Learning at NVIDIA

Shanghai, China

NVIDIA Logo
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 experience
  • 5+ 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, DevOps or test development experience
  • Good user/development experiences of virtualization like VM & Docker container
  • Excellent English written and oral communication skills
  • Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules
  • Experience with AI tools
  • Ways to stand out (Preferred)
  • Familiarity with NVIDIA GPU hardware products (Tesla, Tegra, DGX, etc)
  • Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning
  • Experience in VectorCAST, Bullseye, Gcov, or Coverity tools
  • Automation experience
  • Experience with LLM inference frameworks (TRT-LLM, vLLM, SGLang, etc.) and familiar with running various AI workloads, proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation

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
  • Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance

Skills

Python
Perl
Bash
C++
UNIX
Linux
DevOps
Test Automation
Deep Learning
AI
Software Quality Assurance
Test Frameworks

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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