Senior AI Algorithm Engineer in oneDNN

Intel Corporation
Santa Clara, CA, United States
about 2 months ago
Apply on dejobs.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$195,200.0 - $275,580.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Artificial Neural Networks C++ (Programming Language) Software Documentation Code Review Nvidia CUDA Linux Programming Tools Microprocessors Machine Learning OpenMP
+13 more
Open Source Technology OpenCL Performance Tuning Tensorflow Software Engineering Graphics Processing Unit (GPU) High Performance Computing Pytorch Deep Learning Parallel Computation Information Technology ONNX (Open Neural Network Exchange) Format Software Library

Job description

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 ( https://github.com/uxlfoundation/oneDNN ).

oneDNN is a critical and highly visible component of Intel’s AI strategy, powering industry-leading frameworks such as OpenVINO, TensorFlow, 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.

Responsibilities

  • 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., 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.

Requirements

Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates., * 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
  • Low-level Performance Optimizations, preferably on GPUs, * 3 years+ High-performance computing (HPC) applications development
  • 1 year+ Machine learning and deep learning algorithms
  • 1 year+ Agile software development environment
  • 1 year+ 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)

Benefits & conditions

Why Join Us

  • 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., 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 (https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003) .

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USD

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on dejobs.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:37 min

Simplifying parallel programming with the CUDA ecosystem

Paul Graham Paul Graham · LIVE

1:42 min

Navigating emerging hardware standardization in vendor programming ecosystems

Paul Graham Paul Graham · LIVE

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

4:20 min

Utilizing AI and hardware acceleration for application code optimization

Stephan Gillich Stephan Gillich · World Congress 2024

2:33 min

Architecting CUDA and the AI software stack

Michael Kagan Michael Kagan +1 · World Congress 2026 Europe

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

Videos

See all

Related articles

See all