NVIDIA
AI
SeniorDeveloperTechnologyEngineer-WindowsAIPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Developer Technology Engineer - Windows AI Platform at NVIDIA. Skills: AI, accelerated computing, GPU deployment, profiling, optimization, C/C++, Python, Windows operating system, LLM, GenAI, CUDA, NVIDIA's Nsight GPU profiling and debugging suite. Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform. Apply powerful profiling and debugging tools for analyzing most demandi”
What You'll Achieve.
help them adopt groundbreaking advancements in AI and accelerated computing on NVIDIA RTX; make a significant contribution to the next era of enterprise and consumer AI; solving local end-to-end AI GPU deployment challenges; detect insufficient GPU utilization resulting in suboptimal runtime performance; give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance; Improve Windows LLM & GenAI user experience on NVIDIA RTX; influence next generation GPU features
Industry & Context.
solving local end-to-end AI GPU deployment challenges; detect insufficient GPU utilization resulting in suboptimal runtime performance; problem-solving skills
Some travel is required for conferences and for on-site visits with external partners
What They're Looking For.
Must Have
5+ years of professional experience in local GPU deployment, profiling and optimization, Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field, proficiency in C/C++, Python, software design, programming techniques, Familiarity with and development experience on the Windows operating system, Experience working with open-source LLM and GenAI software, Experience with CUDA and NVIDIA's Nsight GPU profiling and debugging suite, problem-solving skills, ability to work both independently and collaboratively in a fast-paced environment, Excellent interpersonal and communication skills, passion for keeping track with the latest advancements in AI technology
Nice to Have
Experience with GPU-accelerated AI inference driven by NVIDIA APIs, specifically cuDNN, CUTLASS, TensorRT, Confirmed expert knowledge in Vulkan and / or DX12, Detailed knowledge of the latest generation GPU architectures, Experience with AI deployment on NPUs and ARM architectures
What You'll Do.
Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform
Apply powerful profiling and debugging tools for analyzing most demanding GPU-accelerated end-to-end AI applications to detect insufficient GPU utilization resulting in suboptimal runtime performance
Conduct hands-on trainings
develop sample code and host presentations to give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance on NVIDIA ARM-based SoCs
Improve Windows LLM & GenAI user experience on NVIDIA RTX by working on feature and performance enhancements of OSS software
including but not limited to projects like GGML
Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs
Providing technical leadership and mentorship to junior engineers
How You'll Work.
Team & Collaboration
Work closely with internal engineering and product teams and external app developers; Collaborate with GPU driver and architecture teams as well as NVIDIA research; Providing technical leadership and mentorship to junior engineers, encouraging an inclusive and high-performing team environment; ability to work both independently and collaboratively
Communication Scope
Excellent interpersonal and communication skills; host presentations
Full Job Description
At NVIDIA, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. As a Developer Technology Engineer, you will be at the forefront of innovation, working with leading industry partners and exciting OSS projects to help them adopt groundbreaking advancements in AI and accelerated computing on NVIDIA RTX. This role offers an outstanding opportunity to collaborate with world-class talent and make a significant contribution to the next era of enterprise and consumer AI. **What you 'll be doing:** * Work closely with internal engineering and product teams and external app developers on solving local end-to-end AI GPU deployment challenges on the NVIDIA RTX AI platform. * Apply powerful profiling and debugging tools for analyzing most demanding GPU-accelerated end-to-end AI applications to detect insufficient GPU utilization resulting in suboptimal runtime performance. * Conduct hands-on trainings, develop sample code and host presentations to give good guidance on efficient end-to-end AI deployment targeting optimal runtime performance on NVIDIA ARM-based SoCs. * Improve Windows LLM & GenAI user experience on NVIDIA RTX by working on feature and performance enhancements of OSS software, including but not limited to projects like GGML, Llama.cpp, Ollama, ONNX Runtime. * Collaborate with GPU driver and architecture teams as well as NVIDIA research to influence next generation GPU features by providing real-world workflows and giving feedback on partner and customer needs. * Providing technical leadership and mentorship to junior engineers, encou
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