Internship Hpc Engineer Jobs in Portland, OR (NOW HIRING)

Job Details:
Job Description:
Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's oneCCL (Collective Communications Library).
This role offers the opportunity to build expertise with the latest Intel GPUs and CPUs used in data centers, collaborate directly with scientists and engineers on the Aurora supercomputer at Argonne National Labs, and make meaningful contributions that advance scientific computing and machine learning capabilities.
Key Responsibilities

• Communication Library Development
• Design, develop, and maintain advanced features and performance optimizations for oneCCL.
• Optimize software to achieve performance requirements including low latency, high bandwidth, and high reliability
• Implement and enhance communication protocols across multiple layers of the communications stack

Cross-Functional Collaboration and Requirements

• Collaborate with cross-functional teams to define software requirements and technical specifications
• Work directly with scientists and engineers on high-performance computing applications and supercomputer implementations
• Partner with hardware teams to optimize software-hardware integration for maximum performance

Performance Optimization and Analysis

• Develop performance optimizations that improve communication latency and throughput
• Conduct comprehensive performance analysis and benchmarking across different system configurations
• Debug complex problems spanning multiple layers of hardware and software stack

What You'll Work On

• Aurora Supercomputer: Direct collaboration with Argonne National Labs on one of the world's most advanced supercomputers
• Cutting-Edge Hardware: Latest Intel GPUs and CPUs designed for data center and HPC applications
• Impact: Meaningful contributions to scientific computing breakthroughs and machine learning advancement
• Innovation: Development of next-generation communication libraries and optimization techniques

Core Competencies

• Self-driven with high motivation to learn emerging technologies
• Outstanding analytical and problem-solving skills
• Excellent communication skills for technical collaboration
• Understanding of multiple levels of communications stack architecture

Qualifications:
The Minimum qualifications are required to be initially considered for this position. Minimum qualifications listed below would be obtained through a combination of industry relevant job experience, internship experience and / or schoolwork/classes/research. The preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications

• Master's degree in Computer Science, Computer Engineering or in a STEM related field of Study
• 3+ years of software development experience
• 3+ years of Linux environment development experience
• 3+ years of C and C++ programming experience
• Experience with multithreaded programming and parallel computing concepts
• Specialized Experience (At least one required)
  • Distributed computing systems and architectures
  • HPC (High-Performance Computing) communications libraries
  • Collective communications libraries (MPI, oneCCL/NCCL, or SHMEM)
  • GPU software development and optimization
  • Network communications stack development (one or more layers)

Preferred Qualifications

• Ph.D. degree in Computer Science, Computer Engineering or in a STEM related field of Study
• Experience developing performance optimizations that measurably improve communications latency or throughput
• Experience debugging complex problems across different layers of hardware and software stack
• Deep understanding of high-performance computing architectures and optimization techniques
• Experience with Intel GPU and CPU architectures and their optimization characteristics
• Knowledge of supercomputing environments and large-scale distributed systems
• Familiarity with scientific computing and machine learning communication patterns

Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
US, Texas, Austin
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.
Position of Trust
N/A
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $128,880.00-245,160.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
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. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.