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What you'll be doing:
Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures
Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs
Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs
Balance individual effort with teamwork throughout debugging, prototyping, and productization
Discuss and refine software designs and implementation strategies with peers
Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community
What we need to see:
Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience
6+years experiencedeveloping production-quality compilers, tools, or similar software
Proven understanding of compiler internals including experience targeting auto-parallelization and GPU targets
Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations
Ways to stand out from the crowd:
Direct experience with Fortran or GPU programming models is a huge plus
Experience writing code using Modern C++
Experience with GPU-based parallel computing
Familiarity with C++, Fortran, OpenACC, OpenMP, or CUDA compilation
You have a real passion for compiler development
You will also be eligible for equity and .
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