Come and join a dynamic and challenging team within the Intel Data Platform Group (DPG) focused on engineering developing and supporting world class platforms and component building blocks aligned to DPG's roadmap and strategies.
Join us in our mission to enable breakthrough innovation for cloud computing in Intel's Data Platform Engineering and Architecture group (DPEA).

Your responsibilities will include, but are not limited to:

Characterize Power measurements and/performance bottlenecks on Intel Xeon products across Cloud Service Provider workloads (High Performance Computing (HPC), Machine learning/Deep learning).
Find optimization opportunities in the next Generation CPU Architecture.
Deep dive into both hardware and software of Customer workloads to understand full system architecture wrt power and performance.
Design, develop and implement proxy workloads to emulate customer scenarios.

Behavioral Traits:
Good Written/verbal communication skills.

Qualifications

You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a positive factor in identifying top candidates. Requirements listed may be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Minimum Requirements:
 

The candidate must have a PhD degree with 2+ years of industry experience or Master's degree with 6+ years of industry experience or Bachelor's degree with 8+ years of industry experience in Computer Science, Computer Engineering or related field.

Minimum Qualifications:
4+ years of experience with:
Software/Script Development and/or Debug.
Computer/Systems architecture and/or x86 CPU architecture.
Software workload performance tuning and/or analysis.
 

Preferred qualifications:
Experience with machine learning, deep learning model and software optimization on CPU or GPU.
Experience with performance benchmarking tools like Linux perf, iostat, and/or Intel Vtune.
4+ years of experience in C/C++ and/or Python.
Experience with Computer Hardware Setup, Enterprise/Cloud Environments, Caching Software, Memory SW, SSDs, NVMe, and Software Defined Storage.

The Data Platforms Engineering and Architecture (DPEA) Group invents, designs & builds the world's most critical computing platforms which fuel Intel's most important business and solve the world's most fundamental problems. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologiesspanning software, processors, storage, I/O, and networking solutionsthat fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations

US, Arizona, Phoenix;US, California, San Jose;US, California, Santa Clara;US, Washington, Multiple Cities

Intel strongly encourages employees to be vaccinated against COVID-19. Intel aligns to federal, state, and local laws and as a contractor to the U.S. Government is subject to government mandates that may be issued. Intel policies for COVID-19 including guidance about testing and vaccination are subject to change over time.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.