Welcome to Intel, where cutting-edge technology and innovation drive our everyday work. We are currently seeking a highly skilled GPU Modelling Engineer to join our dynamic team. In this role, you will be responsible for developing and improving our GPU models to ensure the highest level of performance and efficiency. As a key member of our engineering team, you will have the opportunity to work with state-of-the-art hardware and software to shape the future of graphics processing. If you have a passion for GPUs and a strong background in computer engineering, we want to hear from you! Join us and be a part of shaping the future of technology.
- Develop and improve GPU models to meet performance and efficiency standards.
- Collaborate with other engineers to design and implement new features and enhancements.
- Conduct research and stay up-to-date with industry developments to drive innovation.
- Troubleshoot and debug any issues with GPU models.
- Optimize GPU models for different hardware and software configurations.
- Work with state-of-the-art hardware and software to continuously improve GPU performance.
- Collaborate with cross-functional teams to ensure seamless integration of GPU models into products.
- Proactively identify and address potential performance bottlenecks.
- Participate in code reviews and provide feedback to improve overall code quality.
- Document and communicate GPU model specifications and updates to relevant stakeholders.
- Stay updated on emerging trends and technologies in the field of GPUs and computer engineering.
- Adhere to project timelines and deliver high-quality results within designated deadlines.
- Ensure compliance with company and industry standards for GPU development.
- Mentor and provide technical guidance to junior team members.
- Continuously strive to improve and enhance the overall performance and efficiency of GPU models.
Bachelor's Degree In Computer Science, Electrical Engineering, Or A Related Field.
Minimum Of 3 Years Experience In Gpu Design, Simulation, And Verification.
Proficiency In Programming Languages Such As C++, Verilog, And Systemverilog.
Strong Understanding Of Computer Architecture And Parallel Processing.
Experience In Using Industry-Standard Tools And Methodologies For Gpu Modelling, Such As Vcs, Synopsys, And Cadence.
Software
Machine Learning
Performance optimization
Memory management
GPU architecture
Simulation Modeling
System integration
Debugging Techniques
Hardware Design
Parallel Computing
Cuda Programming
Graphics Rendering
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 Modelling Engineer is between $90,000 to $140,000 per year. However, this can vary depending on factors such as experience, location, and the specific company you work for. Some companies may offer higher salaries or additional perks and benefits. Overall, the salary for a GPU Modelling Engineer is considered to be above average.
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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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