
GPU AI Compute Architect
Are you a highly skilled and innovative architect with a passion for GPU and AI technology? Do you thrive in a fast-paced and dynamic environment? If so, Intel has an exciting opportunity for you as a GPU AI Compute Architect.As a GPU AI Compute Architect at Intel, you will play a critical role in shaping the future of computing by designing and optimizing GPU architectures for AI workloads. You will collaborate with a team of experts in a cutting-edge environment to deliver exceptional solutions for our customers.To excel in this role, you must have a deep understanding of GPU architecture, as well as a strong background in AI and deep learning. You should possess excellent communication and problem-solving skills, along with a proven track record of successfully delivering complex projects.If you are passionate about pushing the boundaries of technology and making a significant impact in the world of AI and computing, we encourage you to apply for this role and join our talented team at Intel.
- Design and optimize GPU architectures for AI workloads.
- Collaborate with a team of experts in a cutting-edge environment.
- Deliver exceptional solutions for customers.
- Possess a deep understanding of GPU architecture.
- Have a strong background in AI and deep learning.
- Demonstrate excellent communication skills.
- Utilize problem-solving skills to overcome challenges.
- Successfully deliver complex projects.
- Push the boundaries of technology.
- Make a significant impact in the world of AI and computing.
- Stay up-to-date with the latest trends and advancements in GPU and AI technology.
- Work closely with cross-functional teams to ensure alignment and integration of GPU and AI solutions.
- Analyze and evaluate performance data to identify areas for improvement and optimization.
- Conduct research and propose innovative ideas for enhancing GPU and AI capabilities.
- Collaborate with product development teams to define and prioritize features and specifications.
- Provide technical guidance and support to other team members.
- Communicate and present complex technical concepts to non-technical stakeholders.
- Participate in industry conferences and events to showcase Intel's GPU and AI technology.
- Adhere to project timelines and meet deliverable deadlines.
- Continuously strive for improvement and excellence in all aspects of the job.
Bachelor's Or Master's Degree In Computer Science, Electrical Engineering, Or A Related Field.
Minimum Of 5 Years Of Experience In Designing And Implementing Efficient Gpu Architectures For Ai Workloads.
Strong Understanding Of Machine Learning Algorithms And Frameworks, Such As Tensorflow And Pytorch.
Proficiency In Programming Languages Commonly Used In Ai, Such As C++, Python, And Cuda.
In-Depth Knowledge Of Gpu Hardware Design, Including Memory Hierarchy, Cache Coherence, And Interconnect Technologies.
Virtualization
Software
Machine Learning
Deep Learning
Multi-threading
Data Analytics
Performance tuning
Optimization techniques
GPU programming
Neural Networks
Parallel Computing
Hardware Architecture
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Problem Solving
Time management
creativity
Organization
Teamwork
Adaptability
According to JobzMall, the average salary range for a GPU AI Compute Architect in Leixlip, Co. Kildare, Ireland is €85,000-€95,000 per year. This may vary depending on factors such as experience, education, and the specific company or industry the individual is working in.
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Intel Corp. engages in the design, manufacture, and sale of computer products and technologies. It delivers computer, networking, and communications platforms. It operates its business through the following segments: Client Computing Group, Data Center Group, Internet of Things Group, Non-Volatile Memory Solutions Group, Intel Security Group, and Programmable Solutions.

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