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Senior Software Development Engineer In Test, Confidential Computing- Canada-Nvidia Graphics Pv[...]

Nvidia Graphics Pvt Ltd

Canada

On-site

CAD 236,000 - 372,000

Full time

Today
Be an early applicant

Job summary

A leading technology company is seeking a Senior Software Development Engineer in Test to join the Confidential Computing team. You'll develop automated test plans, enhance testing capabilities with AI tools, and work in a dynamic environment focused on high-quality standards. The role requires a robust understanding of embedded systems, Linux, and programming languages like Python and C++. Competitive salary range from $168,000 to $264,500 USD with benefits included.

Benefits

Equity options
Comprehensive benefits
Diverse work environment

Qualifications

  • 7 years of testing software development cycle experience.
  • Proven experience with AI tools for automation and test plan development.
  • Solid understanding of cluster management.

Responsibilities

  • Develop test plans and orchestrate testing for compute software releases.
  • Build a robust test infrastructure with advanced AI tools.
  • Collaborate across teams to lead automation implementation.

Skills

Embedded systems
Linux
Python
C
C++
QA methodology
Automation
AI tools
Collaboration
Orchestration systems

Education

BS or MS in Engineering or equivalent experience

Tools

Docker
Ansible
Xen
KVM
Hyper-V
Job description
Senior Software Development Engineer in Test, Confidential Computing

We are looking for a Senior Software Development Engineer in Test (SDET) to join our Confidential Computing team for NVIDIA's Enterprise SWQA team. Are you passionate about new feature development, automation development, test and validation infrastructure? Do you excel using AI tools to aid in solving complex issues? We'd love to have your skills on the team!

As an engineer on this Confidential Computing QA team, you will develop feature specifications, test plans, and automate testbench independent test specification and execution workflows for worldwide chip validation teams. You will build and operate large‑scale systems running hundreds of tests per day across distributed heterogeneous servers with NVIDIA GPUs to verify multiple designs and configurations in the automation farm or in the cloud. Your work will continuously innovate and develop scalable, reliable, high‑performance systems and tools to enable the next generation of chips.

What you’ll be doing
  • Develop test plans and orchestrate testing for compute software releases on all new compute architecture platforms, including Tesla GPUs, NVIDIA turnkey systems, and OEM systems.
  • Build a robust test infrastructure incorporating advanced AI tools to enhance testing capabilities and streamline operations.
  • Improve code coverage, elevate overall quality of the codebase, and develop roadmaps prioritizing the software development schedule for the full life cycle of tool development, test, and deployment.
  • Collaborate across teams to identify new features and lead developers in definition, automation implementation, and productization of those features in a timely manner.
  • Build and operate key pieces of a complete infrastructure for automation framework development, and lead automation support and participation in automation of manual test cases.
  • Focus on an efficient customer experience by improving usability and performance.
  • Test both software functionality and internal code/structure and run regression tests for existing CUDA/Driver features.
  • Work in a dynamic agile software development team with very high production quality standards.
What we need to see
  • BS or MS in Engineering (or equivalent experience) with 7 years of testing software development cycle experience.
  • Solid understanding of embedded systems, Linux, Python, C, and C++.
  • Experience with hypervisors is a plus, along with focus on cloud infrastructure, platform security, or highly regulated deployment environments.
  • Proven experience with AI tools for automation and test plan development directly applied to daily tasks.
  • Strong technical skills with deep understanding of orchestration & automation systems, data centers and cloud architecture.
  • Solid understanding of QA methodology and attention to detail.
  • Knowledge in cluster and cluster management.
  • Experience developing test strategies, high‑quality test plans, and test execution.
  • Proficiency in building test setups and fine‑tuning hardware and software.
Ways to stand out from the crowd
  • Expertise in developing embedded system features, combined with solid knowledge of both software and hardware stacks.
  • Apply AI‑powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, and daily assistance.
  • Experience with configuration and deployment management (Ansible), containers (Docker), and virtualization infrastructure software (Xen, KVM, Hyper‑V).
  • Good understanding of C/C++ toolchain in Linux including cross‑compilation (automake/autoconf, cmake, meson).
  • Background with parallel programming, ideally CUDA C/C++ and OpenACC.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you’re creative and autonomous, we want to hear from you!

Your base salary will be determined based on location, experience, and pay of employees in similar positions. The base salary range is $168,000 USD – $264,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted until November 11 2025. NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We value diversity in our current and future employees and shall 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

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