Job Details:
Job Description:
Join Intel-and build a better tomorrow. Intel is in the midst of an exciting transformation, with a vision to create and extend computing technology to connect and enrich the lives of every person on Earth. So join us-and help us create the next generation of technologies that will shape the future for decades to come.
The Parallel Computing Lab (PCL) in Intel Labs is seeking a motivated full-time research scientist in the area of AI software research. PCL investigates emerging compute- and data-intensive applications in areas such as artificial intelligence, traditional high-performance computing, big data computing, computational biology, physical simulation, and large-scale optimization problems. We work in close collaboration with leading academic and industry co-travelers to understand the hardware and software architectural implications for Intel's parallel processing platforms.
In this position, you will be responsible for implementing, researching, and prototyping new algorithms, software and systems for compilation strategies around machine learning and high-performance computing on highly distributed and heterogeneous systems. Besides deep understanding on modern compiler technologies (LLVM/MLIR), experience and interest in traditional high-performance computing systems with an in-depth algorithmic understanding of emerging compute-intensive ML/AI/HPC applications - is highly desired.
You will develop state-of-the-art software and hardware systems with the goal of integrating these systems in the open-source ecosystem and Intel's future product lines. You will take initiative and work with other Intel Labs' researchers and across Intel business units to conduct research into promising technologies typically 3-5 years prior to product development. This requires an understanding of computer architecture, system software, performance analysis, and parallel programming.
The successful candidate should exhibit the following behavioral traits:
- Excellent problem-solving skills
- Excellent written and spoken communication skills
- Independent researcher who can function autonomously
We're constantly working on making a more connected and intelligent future, and we need your help. Change tomorrow. Start today.
Qualifications:
You must possess the below minimum qualifications 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. Experience would be obtained through a combination of prior education level classes, and current level school classes, projects, research, and relevant previous job and/or internship experience.
Minimum Qualifications:
The candidate must have a Master's Degree or Ph.D. degree in Computer Science, Electrical Engineering, Computer Engineering, Physics, or other related areas. The candidate must have completed coursework in programming language design, compilers or code generation.
1+ years of experience in below areas:
- Solid software development skills in C++.
- Foundational knowledge of hardware architecture
- Experience on open-source compiler infrastructures or published papers on compilation technologies.
Preferred Qualifications:
- Good understanding of instruction set architecture, memory hierarchy, profiling and identifying performance bottlenecks.
- Experience with LLVM/MLIR optimization infrastructure, code transformation and generation.
- Existing upstream contributions into LLVM projects, preferably MLIR.
- Demonstrated experience in parallel workloads (e.g., machine learning, scientific computing, data analytics)
- Tier-1 publications