Nvidia Deep Learning Compiler Engineer Autonomous Vehicles - New College Grad 

United States, Texas 

972568803

What you'll be doing:

In this role, you will be responsible for analyzing deep learning networks and developing compiler optimization algorithms with AV safety requirements. Collaborate with members of the deep learning software framework teams and the hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts includes performance tuning and analysis, crafting and implementing compiler and optimization techniques for neural networks, safety certification of compiler components, and other general software engineering work.

What we need to see:

• Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience)

• Relevant work or research experience in performance analysis and compiler optimizations.

• Ability to work independently, define project goals and scope, and lead your own development efforts.

• Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.

• Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team.

Ways to stand out from the crowd:

• CPU and/or GPU architecture. CUDA or OpenCL programming experience a plus is a plus

• Experience with the following technologies: XLA, TVM, MLIR, LLVM, deep learning models and algorithms, and deep learning framework design.

• Experiences on AV safety certification

• Background on SW for embedded systems