Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 7 Algorithms @ 4 Parallel Programming @ 4 PyTorch @ 4 CUDA @ 4 GPU @ 4Details
NVIDIA is seeking outstanding Performance Analysis Architects with a background in performance and energy modeling, architecture simulation, and profiling to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.
Responsibilities
- Develop innovative architectures to extend the state of the art in deep learning performance and efficiency
- Prototype key deep learning algorithms and applications
- Analyze performance, cost and energy trade-offs by developing analytical models, simulators and test suites
- Characterize power and performance on silicon parts and translate the learnings to architecture features and simulators
- Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
- Actively collaborate with software, product and research teams to guide the direction of deep learning hardware and software
Requirements
- A Master's Degree (or equivalent experience) and 6+ years of meaningful relevant experience or PhD and 3+ years of experience in Computer Science, Electrical Engineering, Computer Engineering, or related field
- Strong foundation in Deep Learning model architectures and performance tradeoffs
- Experience with performance and energy modeling, power architecture, architecture simulation, profiling, analysis, and visualizations
- Strong programming skills in Python, C, C++
- Experience with the architecture of, or workload analysis on, deep learning accelerators
Ways to Stand Out
- Background with GPU Computing and parallel programming models such as CUDA
- Experience with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX)
About NVIDIA
NVIDIA's GPUs run AI algorithms, simulating human intelligence, and act as the brains of computers, robots, and self-driving cars that can perceive and understand the world. Known as "the AI computing company," NVIDIA offers highly competitive salaries and a comprehensive benefits package.
Are you a creative, motivated deep learning architect with a passion for performance and always up for a challenge? If so, join the Deep Learning Architecture team, helping build real-time, cost-effective computing platforms driving success in this exciting and rapidly growing field.