Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Leading supplier of end-to-end high speed Ethernet and InfiniBand intelligent interconnect solutions and services.
Founded: 1993
Headcount (approx.): 42,295
Core focus: GPUs, AI computing platforms, systems, and software
Notable software: CUDA, Omniverse
High-performance computing, AI infrastructure, graphics rendering, networking for data centers, and industrial/autonomous systems.
1993
Semiconductors / AI compute / Software platforms
$2 billion
Investment in CoreWeave to expand AI compute capacity.
$5 billion
Purchase of an equity stake in Intel as part of a collaboration.
$500 million - $1 billion (reported)
Reported investment in Poolside as part of a larger funding round.
We are looking for a Senior Software Test Development Engineer in NVIDIA’s Deep Learning SWQA team. The position is in NVIDIA Deep Learning Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s Deep Learning software and GPU Infrastructure for autonomous driving, healthcare, speech recognition, natural language processing, and a wide variety of other AI scenarios. This team collaborates with multiple AI product teams to develop new products; derive and improve complex test plans; and improve our workflow processes for a diverse range of GPU computing platforms. You should grow with being in the critical path supporting developers working for billion-dollar business lines as well as intimately understanding the values of responsiveness, thoroughness and teamwork. You should constantly foster and implement efficiency improvements across your domain. Join the team which is building software which will be used by the entire world! - Work closely with global cross-functional teams to understand the test requirements and take ownership of product quality. - Plan/design/execute/report/automate test plan/test case/test reports. - Manage bug lifecycle and co-work with inter-groups to drive for solutions. - Automate test cases and assist in the architecture, crafting and implementing of test frameworks. - In-house repro and verify customer issues/fixes. - BS or higher degree in CS/EE/CE or equivalent experience. - 5+ years of software quality assurance or test automation background with knowledge of test infrastructure and strong analysis skills. - Proven success in leveraging AI tools to significantly improve efficiency, streamline workflows or enhance process automation. - Scripting language (Python, Perl, Bash) knowledge and UNIX/Linux experience. - Good C/C++ software development or test development experience. - Good user/development experiences of virtualization like VM & Docker container - Excellent English written and oral communication skills. - Able to juggle conflicting/changing priorities and maintain a positive attitude while experiencing challenging and dynamic schedules. - Understanding and working knowledge with any Deep Learning Framework especially in end to end customer scenarios. - Working knowledge of NVIDIA GPU Computing (CUDA) and CUDA libraries for Deep Learning. - Experience in VectorCAST, Bullseye, Gcov, or Coverity tools. - Automation experience. JR1997728