High-Performance Computing Professional
hace 17 horas
We are seeking a skilled software engineer to collaborate with our cross-functional team and drive efficiency in computing platform analysis, characterization, analytical modeling, and projection. A strong understanding of CPU and GPU architectures is essential, as well as experience with performance optimization for gaming and computer video applications.
Key traits for this position include:
- Strong data analysis, debugging, and problem-solving skills
- Proactive attitude
- Tolerance to ambiguity
- Attention to detail and ability to analyze data for accuracy/trends
- Motivated self-learner/self-starter and ability to quickly adapt to changes
- Demonstrated capability to work within a team environment facing fast-changing requirements and complicated stakeholders
- Excellent communication skills
The ideal candidate will have a bachelor's or higher degree in Computer Science, Computer Engineering, Electrical/Electronic Engineering, or a related field, along with 2+ years of relevant experience or equivalent training.
A good understanding of computer architecture, Operating Systems, Drivers, and BIOS fundamentals is required. The candidate should be willing to configure a computing platform to a functional state based on provided requirements and rapidly develop functional software solutions for different processes using programming or scripting languages aligned to existing operating frameworks and guidelines.
Preferred qualifications include prior experience with Intel or x86 products in a post-silicon engineering environment, knowledge in Performance Measurement fundamentals and data acquisition, and understanding of commonly used benchmarks and real user workloads/tests.
This role will be part of the Design Engineering Group (DEG) at Intel, responsible for developing best-in-class SOCs, Cores, and IPs that power the company's products. As a critical provider of all Intel products, DEG leadership has a responsibility to ensure the delivery of these products in a cost-efficient and effective manner.
This role will be eligible for our hybrid work model, allowing employees to split their time between working on-site at their assigned Intel site and off-site.
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