Are you a highly skilled and driven individual with a passion for pushing the boundaries of deep learning performance? Do you thrive in a fast-paced, dynamic environment where innovation and collaboration are key? If so, then we have an exciting opportunity for you as a Deep Learning Performance Architect at NVIDIA!As a Deep Learning Performance Architect, you will be responsible for designing and optimizing cutting-edge deep learning algorithms and architectures to achieve maximum performance on NVIDIA GPUs. Your contributions will directly impact the development of state-of-the-art AI technologies and help drive the future of deep learning. We are seeking individuals with a strong background in computer science, mathematics, and experience in deep learning frameworks and GPU programming. So if you're ready to take on this challenging and rewarding role, we encourage you to apply today and join our team of talented and driven individuals at NVIDIA.
- Lead the design and optimization of deep learning algorithms and architectures using NVIDIA GPUs.
- Collaborate with cross-functional teams to develop innovative solutions for improving deep learning performance.
- Utilize your expertise in computer science, mathematics, and deep learning frameworks to drive advancements in AI technology.
- Research and implement cutting-edge techniques to maximize performance and efficiency on NVIDIA hardware.
- Stay up-to-date with the latest developments in deep learning and identify opportunities for improvement.
- Communicate and present performance results to internal and external stakeholders.
- Work closely with software engineers to integrate optimized algorithms into production code.
- Provide technical guidance and mentorship to junior team members.
- Continuously evaluate and improve upon existing deep learning frameworks and tools.
- Proactively identify and troubleshoot performance bottlenecks and propose solutions.
- Collaborate with hardware teams to influence future GPU designs and features.
- Participate in industry conferences and events to represent NVIDIA and share knowledge with the deep learning community.
Advanced Knowledge Of Deep Learning Techniques: A Deep Learning Performance Architect At Nvidia Must Possess A Deep Understanding Of State-Of-The-Art Deep Learning Algorithms And Techniques, Such As Convolutional Neural Networks (Cnns), Recurrent Neural Networks (Rnns), And Generative Adversarial Networks (Gans).
Strong Programming Skills: Proficiency In Programming Languages Such As C++, Python, And Cuda Is Essential For A Deep Learning Performance Architect At Nvidia. This Includes Experience With Gpu Programming And Parallel Computing.
Experience With Nvidia Hardware: Familiarity With Nvidia's Hardware, Including Gpus, Tensor Cores, And Cuda Cores, Is A Must For This Role. An Ideal Candidate Should Also Have Experience Optimizing Deep Learning Algorithms For Nvidia's Hardware.
Performance Optimization Expertise: A Deep Learning Performance Architect Should Have A Strong Background In Performance Optimization Techniques For Deep Learning Models. This Includes Knowledge Of Memory Management, Parallel Processing, And Data Loading.
Strong Analytical And Problem-Solving Skills: As A Deep Learning Performance Architect, One Must Be Able To Analyze And Troubleshoot Complex Performance Issues In Deep Learning Models. This Requires Strong Analytical And Problem-Solving Skills, As Well As The Ability To Think Critically And Creatively.
Data Analysis
Machine Learning
Algorithm design
Performance optimization
Model training
System architecture
GPU programming
Neural Networks
Parallel Computing
Model Deployment
High-Performance Computing
Communication
Conflict Resolution
Leadership
Time management
creativity
Critical thinking
Attention to detail
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a Deep Learning Performance Architect is $120,000 to $220,000 per year. However, this can vary depending on factors such as location, industry, and experience level. Some Deep Learning Performance Architects may earn higher salaries depending on their specific skills and responsibilities.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.
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