Senior Software SDET Test Development Engineer- Canada-Nvidia Graphics Pvt Ltd-5-8 - TimesJobs.com

Nvidia Graphics Pvt Ltd; Canada; On-site; CAD 190,000 - 299,000; Full time

Job summary

A leading technology company is seeking a Senior Software SDET Test Development Engineer to develop and execute test plans on NVIDIA platforms. The ideal candidate will have strong automation, CI/CD, and DevOps experience in a Linux environment, along with expertise in AI tools. This position offers competitive salary, equity, and a diverse work environment in Canada.

Benefits

Competitive salary

Generous benefits package

Equity eligibility

Qualifications

• 5 years proven experience or master's degree.
• Strong experience in AI tools/frameworks and model testing.
• Solid understanding of virtualization in Linux.

Responsibilities

• Develop and execute test plans on servers and software stacks.
• Drive support for root cause analysis on test failures.
• Build server and OS level automation frameworks.

Skills

OS and server level automation

CI/CD process and DevOps

Python

SHELL

Ansible

Jenkins

C/C++

Java

JavaScript

Linux troubleshooting

Education

Bachelor's Degree in STEM

Tools

GitHub

Gitlab

Kubernetes

Docker

TensorFlow

Pytorch

Job description

Senior Software SDET Test Development Engineer

NVIDIA is the world leader in GPU Computing. We are passionate about markets that 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.

Job Description

We are 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 server integration, strong Linux experience, reliability testing with various telemetries, scale‑out cluster, test plan development, and a track record in developing AI tools and NLP, as well as DevOps and CI/CD experience to join our platform SWQA team.

Responsibilities

• Responsible for the development and execution of NVIDIA HGX/DGX/MGX platform test plan on servers, OS, FW, and CUDA SW stack from design doc.
• Installing and testing various systems OS, server firmware, and SW stack.
• Drive support for root cause analysis on reliability and validation test failures to identify root cause(s) and achieve mitigation.
• Build, develop/debug server and OS level automation front‑end and back‑end framework and tests.
• Review partner and supplier test results and prescribe additional reliability testing on components, servers, 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.

Requirements

• Bachelors Degree (or equivalent experience) in a STEM (Science, Technology, Engineering, Math or Physics) field.
• 5 years proven experience; or masters degree.
• Proven years of OS and server level automation, CI/CD process and DevOps experience using Python, SHELL, Ansible, Jenkins, C/C++, Java, JavaScript.
• Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora, etc.) troubleshooting and debugging experience in a bare‑metal and KVM/VMWare/Hyper‑V environment.
• Good knowledge and hands‑on experience in model testing, AI tools/frameworks (TensorFlow, Pytorch, Cursor, etc.), NLP, and LLM benchmarking.
• Experience in using AI development tools for test plans creation, test cases development, and test cases automation.
• Strong experience in FW, BMC/OpenBMC, Network protocol, internal/external enterprise storage devices, PCIe buses and devices, IO sub‑devices, CPU and memory, ACPI, UEFI spec, Redfish - huge plus.
• Proven years of experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker huge plus.

Ways to stand out from the crowd

• AI‑related tools, LLM, and NLP.
• Experience working with NVIDIA GPU hardware is a strong plus.
• Good to have solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes).
• Background in parallel programming ideally CUDA/OpenCL is a plus.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward‑thinking and hardworking people in the world working for us, and due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you’re a creative and autonomous engineer with a real passion for technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 11, 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

Locations: US; CA, Santa Clara