Are you passionate about pushing the limits of GPU applications? Are you a natural problem-solver with a strong technical background? If so, AMD has an exciting opportunity for you as a GPU Applications Stress Engineer! As a member of our dynamic team, you will be responsible for driving the development and testing of cutting-edge GPU applications. We are seeking a highly skilled individual with a deep understanding of GPU architecture and experience in stress testing and performance optimization. Join us and be a part of revolutionizing the world of GPU technology.
- Develop and test cutting-edge GPU applications.
- Utilize a deep understanding of GPU architecture to optimize performance.
- Conduct stress testing of GPU applications to identify and troubleshoot issues.
- Collaborate with team members to drive the development of new GPU technologies.
- Stay up-to-date with industry advancements and continuously improve testing methods.
- Analyze and report on performance data to identify areas for improvement.
- Work closely with software developers to ensure applications are optimized for GPU usage.
- Identify and resolve any technical issues that may arise during testing.
- Develop and maintain comprehensive test plans and documentation.
- Participate in code reviews and provide feedback for improvements.
- Communicate effectively with team members and stakeholders to ensure project goals and deadlines are met.
- Proactively identify and suggest solutions for potential roadblocks or challenges.
- Continuously improve and streamline testing processes to increase efficiency and accuracy.
- Train and mentor junior team members on GPU applications and stress testing techniques.
- Contribute to the overall success of the team and company by actively participating in team meetings and sharing knowledge and expertise.
Extensive Knowledge Of Gpu Architecture: The Ideal Candidate Should Have A Deep Understanding Of The Internal Workings Of Gpus And How They Handle Complex Graphics And Computing Tasks.
Experience With Stress Testing Tools And Methodologies: A Successful Candidate Should Have Experience With Various Stress Testing Tools And Techniques For Gpus, Including Load Balancing, Thermal Stress, And Memory Stress Testing.
Strong Programming Skills: A Gpu Applications Stress Engineer Should Have Strong Programming Skills In Languages Such As C++, Python, And Cuda To Develop Stress Testing Scripts And Tools.
Familiarity With Industry Standards And Protocols: The Ideal Candidate Should Be Familiar With Industry-Standard Graphics And Computing Apis Such As Directx, Opengl, And Opencl, And Protocols Like Pcie And Nvlink.
Ability To Troubleshoot And Debug Complex Issues: A Successful Candidate Should Possess Excellent Problem-Solving Skills And Be Able To Troubleshoot And Debug Complex Issues That Arise During Stress Testing Of Gpus. This Requires A Strong Understanding Of Both Hardware And Software Components Of Gpus.
Software
Data Analysis
Debugging
Machine Learning
Performance testing
Optimization techniques
System architecture
Benchmarking
Multithreading
Graphics programming
Parallel Computing
Gpu Debugging
Communication
Conflict Resolution
Emotional Intelligence
Leadership
Time management
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
According to JobzMall, the average salary range for a GPU Applications Stress Engineer in Austin, TX, USA is between $90,000 and $150,000 per year. However, this can vary depending on factors such as experience, education, and the specific company and role.
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Advanced Micro Devices, Inc. is an American multinational semiconductor company based in Santa Clara, California that develops computer processors and related technologies for business and consumer markets..
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