Senior SWQA Test Development Engineer - NIM

at Nvidia

📍 Santa Clara, United States

$164,000-310,500 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Linux @ 6 Python @ 6 Networking @ 4 Parallel Programming @ 1 Data Analysis @ 4 API @ 4 QA @ 7 LLM @ 4

Details

NVIDIA is the world leader in GPU Computing. We are passionate about markets including gaming, automotive, professional vision, HPC, datacenters, and networking in addition to our traditional OEM business. NVIDIA is also well positioned as the ‘AI Computing Company’, and NVIDIA GPUs are the brains powering modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We have some of the most experienced and dedicated people in the world working for us. If you are dedicated, forward-thinking, and if working with hard-working technical people across countries sounds exciting, this job is for you.

Responsibilities

  • Review product requirements and develop test matrix.
  • Build test plan, design test case, execute and report test progress, bugs, and results to management.
  • Automate test cases and assist in the architecture, crafting, and implementing of test frameworks.
  • Manage bug lifecycle and co-work with inter-groups to drive for solutions.
  • In-house repro and verify customer issues/fixes.

Requirements

  • BS or higher degree or equivalent experience in CS/EE/CE plus equivalent with 8+ years QA experience.
  • Proficient in Unix/Linux and shell/python programming skills.
  • Rich experience in test cases development, tests automation in API/UI, and failure analysis.
  • Good knowledge and hands-on experience in model testing and LLM benchmarking.
  • Good QA sense including attention to detail, problem-solving, data analysis, quality standards knowledge, time management etc.
  • Excellent communicator, fluent written and verbal English.
  • Good teamwork with ability to work independently.
  • Passion to learn new hardcore technology.

Ways to stand out from the crowd:

  • Experience working with NVIDIA GPU hardware is a strong plus.
  • Background in deep learning frameworks is a plus.
  • Experience in parallel programming ideally CUDA/OpenCL is a plus.

The base salary range is 164,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits.