Senior Software Development Engineer In Test, Confidential Computing - SDET

at Nvidia

📍 Santa Clara, United States

USD 168,000-270,200 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 4 Agile Ansible @ 4 CUDA Docker @ 4 GPU Linux @ 4 Parallel Programming Python @ 4 QA @ 4 Security @ 1

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 testing capabilities and streamline operations for more efficient and accurate results.
Improve code coverage, elevating the overall quality of the codebase and reliability of testing processes; develop roadmaps prioritizing 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; 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 usability and ease to attain optimal performance.
Test both software functionality and internal code/structure; run regression tests for existing CUDA/Driver features.
Work in a dynamic agile software development team with very high production quality standards.

BS or MS in Engineering (or equivalent experience) with 8+ 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 to enhance performance, develop robust frameworks, and increase test coverage.
Strong technical skills with deep understanding of orchestration & automation systems, data centers, and cloud architecture.
Solid understanding in QA methodology and 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.

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.