Senior Software SDET Test Development Engineer- Canada-Nvidia Graphics Pvt Ltd-5-9 - TimesJobs.com

Nvidia Graphics Pvt Ltd; Canada; On-site; CAD 191,000 - 299,000; Full time

Job summary

A technology company is seeking a Senior Software SDET Test Development Engineer in Canada. The ideal candidate will have a strong background in Linux and server automation, with experience in AI tools and CI/CD. Responsibilities include developing and executing test plans, troubleshooting failures, and building automation frameworks. This position offers a competitive salary between $136,000 and $212,750 along with equity and benefits.

Benefits

Competitive salaries

Generous benefits package

Qualifications

• 5 years proven experience or a master's degree.
• Strong troubleshooting and debugging skills in server and Linux environments.
• Experience with OS and server-level automation.

Responsibilities

• Develop and execute test plans for NVIDIA platforms.
• Provide root-cause analysis on test failures.
• Build, develop, and debug automation frameworks.

Skills

Enterprise server integration

Linux

Reliability testing

Test-plan development

AI tools

NLP

DevOps

CI/CD

Education

Bachelor's Degree in a STEM field

Master's Degree

Tools

Python

SHELL

Ansible

Jenkins

C/C++

Java

JavaScript

AI frameworks (TensorFlow, PyTorch)

GitHub/Gitlab/Gerrit

Kubernetes

Docker

Job description

Senior Software SDET Test Development Engineer

NVIDIA is the world leader in GPU Computing. We are passionate about markets including gaming, automotive, vision, HPC, datacenters, and networking, and as the AI Computing Company our GPUs power deep learning frameworks, analytics, data centers, and autonomous vehicles. If you are dedicated, forward‑thinking, and hard‑working technical talent across cultures, this role is for you.

NVIDIA is looking for an individual who thrives in a diverse environment, has strong interpersonal skills, and is passionate about continuous process improvement. The ideal candidate has experience with enterprise server integration, strong Linux skills, reliability testing with telemetries, scale‑out cluster testing, test‑plan development, and a track record in developing AI tools, NLP, DevOps, and CI/CD.

What you’ll be doing

• Develop and execute the NVIDIA HGX/DGX/MGX platform test plan for servers, OS, firmware, and CUDA stack based on design documents.
• Install and test various OS, server firmware, and software stacks.
• Provide support for root‑cause analysis on reliability and validation test failures, identifying root causes and driving mitigation.
• Build, develop, and 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 solutions.

What we need to see

• Bachelor’s Degree (or equivalent experience) in a STEM field.
• 5 years proven experience, or a master’s degree.
• Proven experience with OS and server‑level automation, CI/CD, and DevOps using Python, SHELL, Ansible, Jenkins, C/C++, Java, or JavaScript.
• Strong server and Linux (Ubuntu, RedHat, CentOS, SuSE, Fedora, etc.) troubleshooting and debugging experience in bare‑metal and KVM/VMWare/Hyper‑V environments.
• Good knowledge and hands‑on experience in model testing, AI tools/frameworks (TensorFlow, PyTorch, Cuda, etc.), NLP, and LLM benchmarking.
• Experience using AI development tools for test‑plan creation, test‑case development, and test‑case automation.
• Strong experience in firmware, BMC/OpenBMC, network protocols, enterprise storage devices, PCIe buses and devices, IO sub‑devices, CPU and memory, ACPI, UEFI spec, Redfish – huge plus.
• Proven experience in GitHub/Gitlab/Gerrit, PXE, SLURM, Stack/Kubernetes/Docker – huge plus.

Ways to stand out

• AI‑related tools, LLM, and NLP experience.
• Experience working with NVIDIA GPU hardware.
• Solid understanding of virtualization in Linux (KVM, Docker orchestrated with Kubernetes).
• Background in parallel programming, ideally CUDA/OpenCL.

With competitive salaries and a generous benefits package, we are one of the most desirable employers in technology. If you’re a creative, 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 a proud 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