Enterprise Software Test Development Engineer

Posted 6 Days Ago
Be an Early Applicant
Taipei City
Junior
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and execute test plans for NVIDIA's HGX/DGX platform, focusing on OS, Firmware, and CUDA software. Drive automation, manage bug lifecycles, and collaborate with teams.
Summary Generated by Built In

NVIDIA is the world leader in GPU Computing. We are passionate about markets include gaming, automotive, 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 Deep Learning software frameworks, analytics, 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 hard-working technical people across countries sounds exciting, this job is for you.

NVIDIA is looking for an outstanding individual who thrives in a diverse work environment, has outstanding interpersonal skills and possesses a strong sense of engagement and continuous process improvement. This candidate must have enterprise system integration, strong OS/FW experience, reliability testing with various telemetries, test plan development, CI/CD and DevOps experience to join our Enterprise Server QA team.

What you’ll be doing:

  • Responsible for the development and execution of NVIDIA HGX/DGX platform test plan on OS, FW and CUDA SW stack from design doc.

  • Installing and testing various systems OS, system firmware and software stack including Windows & Linux

  • Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.

  • Leverage AI (Language Model) skills to build automation front-end and back-end framework which could interaction with human

  • Review partner and supplier test results and prescribe additional reliability testing on components, systems, and packaging as needed.

  • Work in an agile software development team with very high production quality standards.

  • Manage bug lifecycle and collaborate with inter-groups to drive for solutions.

What we need to see:

  • Bachelor’s Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field with 2+ years proven experience; or Master’s Degree.

  • 2+ years of meaningful work experience

  • Proven years of automation experience using Python, Shell Script, Ansible, Jenkins

  • Strong OS (Ubuntu, RedHat, CentOS, SuSE, Fedora, Windows, etc.) trouble-shooting and debugging experience in a bare-metal and KVM/VMWare environment.

  • Experience in using AI development tools for test plans creation, test cases development and test cases automation

  • Ability to write test plans focusing on functional, performance, stress and negative testing.

  • Experience in developing CI/CD automation processes and DevOps contribution with a real passion for automation and Good teamwork with ability to work independently.

Ways to stand out from the crowd:

  • Experience working with NVIDIA GPU hardware is a strong plus.

  • Have implemented error handling for x86 based servers, online and offline health monitoring tools.

  • Experience of developing x86/ARM based environment

  • Background in parallel programming ideally CUDA/OpenCL is a plus

  • Strong experience in FW, BMC/OpenBMC, SBIOS, Network protocol, enterprise storage devices, Redfish - huge plus

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Top Skills

Ansible
Centos
Cuda
Fedora
Jenkins
Opencl
Python
Redhat
Shell Script
Suse
Ubuntu
Windows
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The Company
HQ: Santa Clara, CA
21,960 Employees
On-site Workplace
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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