英伟达Senior Deep Learning Compiler Engineer - CUDA
任职要求
• Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI) • 4 + years of relevant work experience • Excellent C/C++ programming and software engineering skills, ACM background is a plus • Good fundamental knowledges on computer architecture • Strong ability in abstracting problems and the methodology in resolving problems • Strong compiler backgrounds including MLIR/TVM/Triton/LLVM is desired • Good knowledge of GPU architecture a…
工作职责
• Design and implement the DSL and the core compiler of tile-aware GPU programming model for emerging GPU architectures • Continuously innovate and iterate on the core architecture of the compiler to consistently optimize performance • Investigation of next-generation GPU architectures and provide solutions in the DSL and compiler stack • Performance analysis on emerging AI/LLM workloads and integrate with AI/ML frameworks
We are looking for a 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! What you’ll be doing: • 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. • Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.
We are looking for a Software Test development engineer in NVIDIA’s AI SWQA team. The position is in NVIDIA AI Software Quality Assurance team that defines, develops and performs tests to validate robustness and measure the performance of NVIDIA‘s AI 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! What you’ll be doing: • 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, implementing/enabling test for CI/CD. • In-house repro and verify customer issues/fixes.
We are looking for a 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! What you’ll be doing: • 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. • Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.
We are looking for a 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! What you’ll be doing: • 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. • Utilize AI-powered tools to improve efficiency and quality, including test case/plan/script generation, defect detection, CBTP, bug fixing and day to day assistance.