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Full-time
postgraduate degree
Posted 33d ago
~40 hrs/week
Responsibilities
Develop and optimize highly efficient deep learning kernels for inference using GPU acceleration. Collaborate with cross-functional teams to implement innovative solutions for automotive, image, and speech understanding.
Requirements
Requires a Master's or PhD in Computer Science or a related field with at least 2 years of relevant work experience. Proficiency in C/C++ and GPU programming (CUDA/OpenCL) is essential.
Full job description
We are now looking for a Deep Learning Performance Software Engineer!
We are expanding our research and development for Inference. We seek excellent Software Engineers and Senior Software Engineers to join our team. We specialize in developing GPU-accelerated Deep learning software. Researchers around the world are using NVIDIA GPUs to power a revolution in deep learning, enabling breakthroughs in numerous areas. Join the team that builds software to enable new solutions. Collaborate with the deep learning community to implement the latest algorithms for public release in Tensor-RT. Your ability to work in a fast-paced customer-oriented team is required and excellent communication skills are necessary.
What you’ll be doing:
Develop highly optimized deep learning kernels for inference
Do performance optimization, analysis, and tuning
Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions
Occasionally travel to conferences and customers for technical consultation and training
What we need to see:
Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
SW Agile skills helpful
Excellent C/C++ programming and software design skills
Python experience a plus
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
2 years of relevant work experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people on the planet working for us. If you're creative and autonomous, we want to hear from you!
Related keywords
Deep LearningInferenceGPUTensor-RTC++PythonCUDAOpenCLPerformance ModelingProfilingSoftware DesignAgileAI InfrastructureAccelerated ComputingKernel Optimization
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.
Offices: 2701 San Tomas Expressway, Santa Clara, CA 95050, US · No. 8, Ji Hu Rd., Taipei City, Taipei City 114, TW · Nanakramguda, Serilingampally Mandal, Plot # 6A&B, IT Park Layout, RR District, Hyderabad, Telangana 500046, IN · No. 127 Andheri Kurla Road, CNB Square, Mumbai, Village Chakala, Andheri East 400 093, IN · Survey No. 144/145, Samrat Ashok Path, Off Airport Road, Pune, Yerwada 411 006, IN
How many Engineering jobs are open in Beijing, China right now?
There are currently 474 open engineering positions in Beijing, China listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include NVIDIA, Danaher, Applied Materials, Sanofi, Hitachi Energy, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in Beijing, China?
Yes — 39 of the 474 open engineering positions offer remote or hybrid work (15 remote, 24 hybrid).
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