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Full-time
bachelor degree, postgraduate degree
Competitive Salaries, Generous Benefits Package
Posted 26d ago
~40 hrs/week
Responsibilities
Analyze state-of-the-art deep learning networks and LLMs to identify performance opportunities for NVIDIA's inference products. Develop analytical models to innovate processor and system architectures for improved performance and efficiency.
Requirements
Requires a degree in CS, EE, Math, or a related field with at least 3 years of work experience. Candidates must be familiar with AI models, deep learning software frameworks, and hardware architectures for DL applications.
Full job description
NVIDIA is developing processor and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning system performance architect to join our AI performance modelling, analysis and optimization efforts. In this position, you will have a chance to work on DL performance modelling, analysis, and optimization on state-of-the-art hardware architectures for various LLM workloads. You will make your contributions to our dynamic technology focused company.
What you'll be doing:
Analyze state of the art DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products
Develop analytical models for the state of the art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.
Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uni-processor and multiprocessor configurations.
Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.
What we need to see:
BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience.
3+ years work experience.
Experience with popular AI models (e.g., LLM and AIGC models)
Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow/TensorRT)
Knowledge and experience on hardware architectures for deep learning applications
With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you! NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
#deeplearning
Related keywords
Deep LearningLLMAIGCPerformance ArchitectureHardware ArchitecturePyTorchJAXTensorFlowTensorRTInferenceProcessor DesignSystem ArchitectureAI InfrastructureAccelerated ComputingAnalytical Models
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.
Which companies are hiring for Engineering roles in Beijing, China?
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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