Job Details:
Job Description:
Supports software development and engineering of new artificial intelligence, machine learning, and deep learning products and technologies for the enterprise through research, leading to new or improved software products. Researches technological trends and advancements, recommending strategic product enhancements to ensure product relevancy and support revenue growth. Collaborates with industry and academies, participates in industry standard definition, collaborates with product managers and technical groups to address important customer issues, and finds innovative solutions to difficult problems for midterm or longterm time frames. May research to define boundaries, create proof of concepts, or prototype new ideas.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.
3+ 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