NVIDIA · 10 hours ago
Senior Developer Technology Engineer - Windows AI Platform
US, CA, Santa Clara
Full-time
Hybrid
Senior Level, Lead/Staff
$184K/yr - $356K/yr
8+ years expNVIDIA is a leading technology company focused on AI and computing innovations. As a Developer Technology Engineer, you will work on GPU deployment challenges and collaborate with industry partners to enhance AI applications on the NVIDIA RTX platform.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
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, encouraging an inclusive and high-performing team environment
Qualification
Required
A proven track record of 8+ 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
Strong 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
Some travel is required for conferences and for on-site visits with external partners
Strong problem-solving skills and the ability to work both independently and collaboratively in a fast-paced environment
Excellent interpersonal and communication skills and a passion for keeping track with the latest advancements in AI technology
Preferred
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
Benefits
Equity
Comprehensive benefits package
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
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