Stateside Spec Engineering jobs in the United States

Intel

Senior AI Software Development Engineer

Hillsboro, OR and 1 more · On-site · Senior

Sites: Hillsboro, OR, Austin, TX

Discipline
Software
Industry
Semiconductor

Spec sheet

Automatically summarized from the employer’s posting. Check the original description below for full requirements.

Senior AI Software Development Engineer at Intel in Hillsboro, OR or Austin, TX, focusing on oneAPI Collective Communications Library (oneCCL) for scalable AI/HPC workloads. Requires 3+ years in C/C++ software, distributed systems, and Linux; strong performance optimization and networking experience.

$133,410–$240,710 / year · Equity · 3+ years · Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related

Required

  • C/C++ software development
  • distributed systems
  • Linux environments
  • performance optimization
  • networking software or communication libraries
  • experience diagnosing and optimizing performance
  • multinode / multi-accelerator workloads

Preferred

  • oneCCL, MPI, NCCL, RCCL, UCX, OpenSHMEM, libfabric
  • GPU/accelerator computing
  • RDMA networking
  • open-source development
  • customer-facing troubleshooting

Benefits

  • medical
  • 401k
  • PTO
  • stock bonuses

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Employer description

Job Details:

Job Description: Join Intel’s Communications Runtime team and help build the communication software stack powering the world’s largest AI and High-Performance Computing (HPC) workloads. As a Senior AI Software Development Engineer, you will architect, develop, and optimize the oneAPI Collective Communications Library (oneCCL), enabling scalable, high-performance communication across Intel CPU and GPU platforms. 

In this role, you will solve complex distributed systems challenges spanning collective communication algorithms, communication runtimes, networking technologies, operating systems, and large-scale AI training infrastructure. You will work across the software stack, collaborating with architects, researchers, and engineers to deliver breakthrough performance for AI model training, scientific computing, and next-generation distributed computing workloads.

This is a highly visible technical role with opportunities to influence Intel’s software roadmap, contribute to open-source communities, and drive innovations that scale across thousands of processors and accelerators.

Key Responsibilities

Design, develop, and optimize collective communication algorithms and runtime capabilities within oneCCL.Improve scalability, latency, bandwidth utilization, resilience, and overall communication performance across distributed systems.Lead performance optimization initiatives for multi-node and multi-accelerator AI and HPC workloads.Investigate and resolve complex system-level performance, reliability, and interoperability issues.Collaborate closely with hardware architects, software engineers, researchers, open-source contributors, and strategic customers.Contribute to and influence open-source communication and networking technologies.Drive engineering decisions through data-driven analysis and performance insights.

Qualifications:Minimum Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with 3+ years of relevant experience.Strong software development experience using C/C++.Experience developing systems software, middleware, runtime software, networking software, or communication libraries.Hands-on experience diagnosing and optimizing performance, scalability, and reliability in complex distributed systems.Experience in distributed systems, operating systems, concurrency, networking, and computer architecture.Experience developing software in Linux environments.
Preferred Qualifications

Experience with collective communication frameworks such as oneCCL, MPI, NCCL, RCCL, UCX, OpenSHMEM, or libfabric.Experience supporting distributed AI training, machine learning infrastructure, or HPC applications.Experience optimizing communication performance across multiple nodes, GPUs, or accelerators.Familiarity with RDMA technologies and high-performance networking environments.Experience developing software for GPU, accelerator, or heterogeneous computing platforms.Open-source software development experience. Customer-facing experience troubleshooting complex technical and performance-related challenges.
Preferred Technical Skills 

Experience with several of the following technologies:

Programming & Development

C/C++ Linux
Communication Libraries & Runtimes

oneCCLMPINCCLUCXLibfabricOpenSHMEM
AI & Accelerated Computing

oneAPISYCLPyTorch DistributedDeepSpeedHorovod
Networking Technologies

RDMAInfiniBandRoCE
Performance Analysis & Debugging

Intel VTune ProfilerGDB
What You’ll Bring

You are a highly motivated software engineer with a passion for distributed systems, performance optimization, and large-scale computing. You thrive in solving complex technical challenges, collaborating

          

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 TrustN/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: $133,410.00-240,710.00 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.

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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.

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