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Senior Software Development Engineer In Test, Confidential Computing - SDET- Canada-Nvidia Grap[...]

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 in Canada is seeking a Senior Software Development Engineer in Test to enhance automation processes within the Confidential Computing team. The role requires experience with AI tools for robust framework development and extensive knowledge in embedded systems, Linux, and programming languages. Candidates should possess a BS or MS in engineering with 7 years in software testing. The position offers competitive compensation ranging from $168,000 to $264,500, alongside equity and benefits.

Qualifications

  • 7 years of experience in testing software development cycle.
  • Solid understanding of embedded systems and Linux.
  • Experience with Hypervisors is a plus.

Responsibilities

  • Develop test plan and orchestrate testing for compute software releases.
  • Improve code coverage and reliability of testing processes.
  • Collaborate with teams to define and automate features.

Skills

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

Education

BS or MS in Engineering or equivalent experience

Tools

Docker
Ansible
Hypervisors
Virtualization infrastructure software
Job description
Senior Software Development Engineer in Test, Confidential Computing - SDET

We are looking for Senior Software Development Engineer in Test 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 do many feature development that includes test plan development, automate testbench independent test specification and execution workflows for worldwide chip validation teams running tests on silicon along with automation framework/infrastructure development. You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA’s GPUs connected to verify multiple designs/POR in many configurations that are sitting in an automation farm or in the cloud. You will continuously innovate and develop scalable, reliable, high‑performance systems and tools to enable the next generation of chips.

Job Description
What you’ll be doing:
  • Develop test plan and orchestrate testing for Compute software releases on all new compute architecture platforms including Tesla GPUs, NVIDIA turnkey systems and OEM systems.
  • Develop a robust test infrastructure incorporating advanced AI tools to significantly enhance our testing capabilities and streamline operations for more efficient and accurate results.
  • Improve code coverage, elevating the overall quality of our codebase and reliability of our testing processes 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, as well as lead and develop automation support and participate in automation of manual test cases, working closely with automation infrastructure.
  • Focus on an efficient customer experience by improving both usability and ease to attain optimal 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 testing SW development cycle.
  • Solid understanding of embedded systems, Linux, Python, C and C++.
  • Experience with Hypervisors is a big 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. This expertise is crucial for enhancing performance, developing robust frameworks, and increasing test coverage.
  • Strong technical skills, with deep understanding of orchestration & automation systems, data centers and cloud architecture combined.
  • Solid understanding in QA methodology and pay attention to details.
  • Knowledge in Cluster and cluster management.
  • Experience in developing test strategies, high quality test plans, and test execution.
  • Proficient in building test setups and fine‑tuning in HW and SW.
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, CBTP, bug fixing and day‑to‑day 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 (C, C++, automake/autoconf, cmake, meson).
  • Background with parallel programming, ideally CUDA C/C and OpenACC.

Your base salary will be determined based on your location, experience, and the 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 at least until November 11, 2025.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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

  • Job Function: IT Software : Software Products & Services
  • Specialization: Software Engineer
  • Qualification:
    • CA (Chartered Accountant), ME/ M.Tech./ MS (Engg/ Sciences)
    • BE/ B.Tech (Engineering)
  • Industry: Technology (IT, Telecom, Dot Com etc) (Other Technology Services)
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