Analyzing deep learning networks and developing compiler optimization algorithms
Collaborating with members of the deep learning software framework teams and the GPU architecture teams to accelerate the next generation of deep learning software
Defining public APIs, performance optimizations and analysis, crafting and implementing compiler techniques for AI workloads and future NVIDIA GPUs

Requirements

Bachelor’s, Master’s or Ph.D. in Computer Science, Computer Engineering, related field or equivalent experience
3+ years of relevant work or research experience in performance analysis and compiler optimizations
Experience with compiler technologies (e.g., MLIR, LLVM, XLA, Triton, etc.)
Excellent C/C++ and Python programming and software design skills, including debugging, performance analysis, and test design
Ability to work independently, define project goals and scope, and lead your own development efforts
Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

deep learningcompiler optimizationperformance analysisC++Pythondebuggingtest designcompiler technologiesMLIRLLVM

Soft Skills

independent workproject goal definitionleadershipinterpersonal skillsteam collaboration

Certifications

Bachelor’s degreeMaster’s degreePh.D.