Develop software features for Intel's communication libraries, optimize software for performance, and collaborate with scientists on the Aurora supercomputer.
Job Details:Job Description: Qualifications:
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.
Join our Communication Runtimes team as a Senior Cloud Software Development Engineer to develop cutting-edge software features and optimizations for Intel's communication libraries including Intel SHMEM (Shared Memory Access), Intel MPI (Message Passing Interface), MPICH (Message Passing Interface Chameleon), and Intel oneCCL (Collective Communications Library). This role has a primary focus on development for oneCCL, and there are opportunities to contribute to these other communication libraries.
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, with potential to contribute to Intel SHMEM, Intel MPI and MPICH libraries.
- 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 & 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 & 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
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
What We Offer
- Opportunity to work on world-class supercomputing and HPC technologies
- Direct impact on scientific research and machine learning advancement
- Collaboration with leading researchers and engineers in high-performance computing
- Access to cutting-edge Intel hardware and advanced development tools
- Professional development in emerging HPC and communication technologies
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, Texas, AustinBusiness group:The Software Team drives customer value by enabling differentiated experiences through leadership AI technologies and foundational software stacks, products, and services. The group is responsible for developing the holistic strategy for client and data center software in collaboration with OSVs, ISVs, developers, partners and OEMs. The group delivers specialized NPU IP to enable the AI PC and GPU IP to support all of Intel's market segments. The group also has HW and SW engineering experts responsible for delivering IP, SOCs, runtimes, and platforms to support the CPU and GPU/accelerator roadmap, inclusive of integrated and discrete graphics.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 TrustN/ABenefits
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 require an on-site presence. * 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.Top Skills
C
C++
Gpu
High-Performance Computing
Intel Mpi
Intel Oneccl
Intel Shmem
Linux
Mpich
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