Senior Software Development Engineer in Test, Confidential Computing - SDET

NVIDIA is hiring a Senior Software Development Engineer in Test, Confidential Computing - SDET in Santa Clara, United States. It pays $168k-$270k a year and Level rates it ; you can apply on NVIDIA.

Level's read on this job

Level rates this software engineer role Uses AI ●●○○: an ordinary role that requires AI tools.
Pay on this posting starts in line with the typical software engineer posting on Level.
The posting mentions fine tuning among its tools and skills.
Level classes it as a senior role.
NVIDIA has 2,600+ other open roles on Level.

AI in this role

fine-tuning

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 include 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 connect to verify multiple designs/POR in many configurations those are sitting in automation farm or in cloud. You 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 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 streamlining 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 software development schedule for 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 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 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. 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

#SDETSChiring

Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 168,000 USD – 270,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until November 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.

How we rate this

Senior Software Development Engineer in Test, Confidential Computing - SDET at NVIDIA rates 43 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Software Development Engineer in Test, Confidential Computing - SDET is an open job at NVIDIA.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $168k-$270k a year.
The role is based in US, CA, Santa Clara.
The job was posted on September 9, 2026.
Seniority: senior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuning

Also common in software engineer jobs at this level

Java AWS React TypeScript Kubernetes JavaScript

Pay

This job starts at: $168k
Typical software engineer job: $168k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

Walk me through fine-tuning a model: what data did you use, and how did you check the result?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: Fine-tuning. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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