You will be part of the team working on leading edge technologies for numerical computing and data science We are looking for people who want to play a role in shaping the future of Python for Data Science Python has become No 1 programming language for Data Science. What it is still lacking is the performance and efficiency of native languages. You will be playing a role in changing that by helping data science to scale beyond laptop to server CPUs and other devices.

We are looking for software developer to join Machine Learning Performance team of Software and Advanced Technology Group, which is responsible for leadership AI software on Intel platforms. You will be working in open and agile environment by leveraging the power of open source projects as well as the power of large organizations cross-team work. We are seeking for a compiler developer to work on LLVM-based JIT compilation technologies for Python. Any prior experience with high performance computing data analytics databases as well as knowledge of parallel architectures and system software will be a great addition to a skillset that we need. You will be working in a product team by performing design, implementation, testing, code review, and creating documentation for JIT compiler and relevant libraries, You will interface with other teams on compiler related issues You will also work with open source community and customers.

Qualifications

Minimum Qualifications

• Bachelor's with 4+ years or Masters with 3 or more years or PhD. In Computer Science or Computer Engineering or Electrical Engineering or related technical discipline with experience in compiler development.

• 2+ years of experience with the following technical skills:

• Hands on experience with C++

• Experience with performance optimization of numerical applications

• Experience with Python

• Experience with compiler development

Preferred Qualifications:

• LLVM based compiler development experience

• Experience working in Python projects in HPC and/or Data Science

• Knowledge of numpy, scipy, numba internals

• Contributions to open source projects

• Familiarity with data parallel hardware architectures

Inside this Business Group

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.

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.