HPC Performance Architect

Intel Corporation; Folsom (CA); Hybrid; USD 123,000 - 185,000; Full time

Benefits offered by this job

Hybrid work model

Stock options

Bonuses

Job summary

Intel is seeking an HPC Performance Architect to join the Data Center AI Solutions group and drive performance across HPC workloads, simulations, and accelerators. You will work on hardware acceleration, tool-assisted optimization, and large-scale profiling to improve software across client, data center, and AI workloads.

This role requires deep expertise in C/C++/Fortran, parallel programming, and performance simulators, with experience porting apps to Intel GPUs via oneAPI.

Qualifications

• Masters or PhD in Electrical/Computer Engineering or related field with 3+ years of industry experience
• 3+ years of programming in C/C++/Fortran
• 3+ years developing or using performance simulators
• 3+ years of parallel programming with OpenMP and MPI or similar APIs

Responsibilities

• Research and develop techniques for hardware acceleration and software optimization of HPC applications
• Identify performance bottlenecks using simulation and measurement
• Port applications to accelerators like Intel GPUs using oneAPI
• Characterize systems, analyze performance, and debug at scale
• Collaborate with cross-functional teams to enable applications and Intel software products
• Engage with US government research partners to define tech directions and readiness

Skills

C/C++/Fortran

Performance simulators

OpenMP/MPI

GPU programming

Education

Master's Degree in Electrical Engineering or Computer Engineering

PhD in Electrical Engineering or Computer Engineering

Tools

VTune

MPI profilers

oneAPI

Job description

We are a global leader, creating world-changing technology that enables progress and enriches lives. Intel is at the intersection of several technology inflections - artificial intelligence, 5G network transformation, and the rise of the intelligent edge- that together will shape the future of technology.

The Data Center AI Solutions (DAIS) group is a critical part of Intel's AI investments as it builds AI products and capabilities in our client, network, data center, software, and foundry offerings. DAIS's AI responsibility spans data center workloads from generative AI and deep learning to analytics, HPC, and graphics - all of which are super important in the future of computing. These products help end-customers gain insight into and discover solutions to their most important problems.

As an HPC Performance Architect, you will be part of a system applications engineering team working on leading-edge HPC technologies.

In this role, you will be responsible for, but not limited to, the following:

• Research and development of techniques for hardware acceleration and software optimization of HPC applications.
• Use simulation and measurement techniques to identify performance bottlenecks in software, processors and system interconnect.
• Port applications to accelerators like Intel GPUs using oneAPI.
• Extensive system characterizations, performance analysis, and debugging of applications at scale.
• Collaborate with cross-functional teams to enable applications and thereby contribute to Intel's software products.
• Occasionally work with our US government research partners to define technology directions and application readiness of the prototyped technology.

Qualifications

Minimum Qualifications:

• You must possess the minimum requirements noted below and minimum qualifications to be initially considered for this position. Additional preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

• Masters Degree in Electrical Engineering, Computer Engineering or related field and 3+ years of relevant industry experience or PhD in Degree in Electrical Engineering, Computer Engineering or related field or related field and relevant industry experience.
• 3+ years of programming experience in high level languages such as C/C++/Fortran.
• 3+ years of experience developing or using performance simulators.
• 3+ years of experience in parallel programming using OpenMP and MPI or similar parallel programming APIs .

Additional Preferred Qualifications:

• Experience in HPC, LLMs (GPT, BLOOM176, LLAMA) for performance optimizations.
• 3+ years of experience programming for GPUs.
• 3+ years of programming experience in scripting languages such as Perl, Python or bash.
• 3+ years of experience using of performance profiling tools such as VTune and MPI profilers.

Inside this Business Group

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of Intel’s transformation from a PC company to a company that runs the cloud and billions of smart, connected computing devices. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions that fuel cloud, communications, enterprise, and government data centers around the world.

Other Locations: US, OR, Hillsboro; US, CA, Folsom

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.

Benefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.

Annual Salary Range for jobs which could be performed in US, California: $123,419.00-$185,123.00

*Salary range dependent on a number of factors including location and experience

Working Model

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

In certain circumstances the work model may change to accommodate business needs.