NVIDIA

Enterprise SWQA

SeniorSoftwareDevelopmentEngineerinTest-SDET

$140–270k Santa Clara, California, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Development Engineer in Test - SDET at NVIDIA. Skills: Automation, Test Infrastructure, AI Tools, Cloud Architecture. Develop test plan. orchestrate testing for Compute software releases”

What You'll Achieve.

significantly enhance our testing capabilities; streamlining operations for more efficient and accurate results; elevating the overall quality of our codebase; reliability of our testing processes; timely manner; Focus on an efficient customer experience; attain optimal performance

Industry & Context.

Enterprise SWQA
Problems you'll solve

solving complex issues; defect detection; bug fixing

What They're Looking For.

Must Have

5+ years testing SW development cycle, Solid understanding of embedded systems, Linux, Python, C, C++, AI tools for automation, test plan development, orchestration & automation systems, data centers, cloud architecture, QA methodology, Cluster and cluster management, developing test strategies, high quality test plans, test execution, building test setups, fine tuning in HW and SW, hardware and software components that enable cloud computing services

Nice to Have

cloud infrastructure, packaging software in Linux (rpms, debs), Linux distribution (Centos, Ubuntu, SLES, RedHat, Fedora), AI-powered tools for efficiency and quality, test case/plan/script generation, defect detection, CBTP, bug fixing, day to day assistance, Configuration and deployment management (Ansible), Containers (Docker), Virtualization infrastructure software (Xen, KVM), C/C++ toolchain in Linux, cross-compilation (C, C++, automake/autoconf, cmake, meson), parallel programming, CUDA C/C++, OpenACC

What You'll Do.

orchestrate testing for Compute software releases

Develop robust test infrastructure

incorporating advanced AI tools

Improve code coverage

elevating overall quality

develop roadmaps prioritizing software development schedule

Collaborate across teams

identify new features

lead developers in definition

automation implementation

productization of those features

Build and operate infrastructure for automation framework development

lead and develop automation support

participate in automation of manual test cases

Focus on efficient customer experience

ease to attain optimal performance

Test software functionality

Test internal code/structure

Work in dynamic agile software development team

How You'll Work.

Team & Collaboration

Collaborate across teams to identify new features; lead developers in definition, automation implementation, and productization; working closely with automation infrastructure; Work in a dynamic agile software development team

Process & Methodology

develop roadmaps prioritizing software development schedule

Full Job Description

We are looking for Senior Software Development Engineer in Test to join our Compute CUDA Quality Assurance team for NVIDIA's Enterprise SWQA release schedules. Are you passionate about 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 automation team, you will 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

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