Senior AI Algorithm Engineer in oneDNN

The Software and AI (SAI) organization is seeking a highly skilled Software Development Engineer to contribute to the development and optimization of oneDNN, a complex, cross‑platform, open‑source performance library for deep learning applications (). oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry‑leading frameworks such as OpenVINO, Tensor Flow, PyTorch, ONNX Runtime, and many others. This is a unique opportunity to work at the intersection of AI algorithms, low‑level performance engineering, and cutting‑edge Intel hardware, enabling state‑of‑the‑art neural network performance across CPUs, integrated graphics, and discrete GPUs.

• Design, develop, and optimize new features and algorithms for oneDNN targeting Intel processors, Intel Processor Graphics, and Intel discrete GPUs.
• Perform performance analysis and optimization to achieve best‑in‑class deep‑learning inference and training throughput on current and next‑generation Intel platforms.
• Develop hardware‑specific parallel algorithms, including multithreading, vectorization, and memory‑layout optimizations.
• Contribute to assembly‑level programming and low‑level performance tuning for Intel microarchitectures.
• Collaborate with cross‑functional teams across software engineering, architecture, and AI performance to ensure strong integration with Intel’s broader AI ecosystem.
• Engage with the open‑source community, participate in code reviews, and maintain high‑quality coding and documentation standards.

• Work on a global, high‑impact open‑source AI project used across leading deep‑learning frameworks.
• Influence AI performance across Intel’s full hardware roadmap, from CPUs to GPUs.
• Collaborate with top experts in deep learning, HPC, compilers, and systems optimization.
• Contribute to technology adopted by millions of developers worldwide.
• Engage with a highly visible open‑source product and the latest Intel hardware generations.
• Enjoy a safe, flexible, and supportive work environment—remote or onsite—focused on employee well‑being.
• Benefit from flexible working hours.
• Access a comprehensive benefits package: stock program, annual and quarterly bonuses, pension plan, medical and life insurance for you and your family, peer‑to‑peer recognition, meal card, Multisport card, holiday card, employee discounts, events, and more.

• BSc, MSc or PhD in Mathematics, Physics, Computer Science or in a related field.
• 5+ years of experience in the following areas: C++ algorithms and data structures, or mathematical background.
• 5+ years of experience in low‑level performance optimizations, preferably on GPUs.

• 3+ years of high‑performance computing (HPC) applications development.
• 1+ year of machine learning and deep learning algorithms.
• 1+ year of agile software development environment.
• 1+ year of Intel development tools.
• Software libraries design and architecture.
• Background in linear algebra solvers, matrix‑vector operations, or fast Fourier transforms.
• Software development on Linux GPU optimizations (OpenCL, CUDA, SYCL/DPC++, C for Metal or similar).
• Parallel programming (OpenMP, TBB, or MPI).

• Job Type: Experienced Hire
• Shift: Shift 1 (United States of America)
• Primary
  
  Location:
  
  US, Oregon, Hillsboro
• Additional Locations: US, California, Santa Clara
• Business group:
  Silicon and Platform Engineering Group (SPE):
  Deliver breakthrough silicon and platform solutions that deliver industry‑leading products today while also defining the next generation of computing experiences.

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.

Annual Salary Range: $‑ 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.

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.