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Full-time
bachelor degree, postgraduate degree
Posted 16d ago
~40 hrs/week
Responsibilities
The role involves analyzing the performance of deep learning workloads across various hardware and software architectures. The architect will identify performance bottlenecks and explore new system configurations to improve energy efficiency and overall performance.
Requirements
Candidates should hold a degree in CS, EE, or Math and possess a strong background in computer architecture and GPU-based platforms. Experience with deep learning frameworks and system performance optimization is required, with 3+ years of relevant experience preferred.
Full job description
NVIDIA is developing GPU and system architectures that accelerate deep learning and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort. In this position, you will have the chance to analyze deep learning performance on different hardware and software architecture and make a significant impact in a dynamic technology focused company
What you’ll be doing:
Analyze performance of various deep learning workloads on different architectures
Identify architecture and software performance bottlenecks
Explore new features and system configurations to achieve better performance and energy efficiency
What we need to see:
BSc. MS or PhD in relevant discipline (CS, EE, Math, etc.,)
3+ years of working experience in relevant directions (e.g., hardware system, datacenter hardware, LLM workloads on data center) will be a plus
Be familiar with GPU or accelerator-based deep learning platform and software stack
A strong background in computer architecture
Experience on system architecture design and performance optimization
Familiar with machine learning and deep learning frameworks
Related keywords
Deep LearningGPUSystem ArchitecturePerformance ProjectionsLLMData Center HardwareAccelerator-based PlatformsComputer ArchitectureEnergy EfficiencyMachine Learning FrameworksHardware BottlenecksHigh-Performance Computing
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.
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