Job description

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.

Requirements

Must-haves

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).
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

Nice-to-haves

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

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: workday
Effort: long