Solve difficult problems at the intersection of compilers, runtime libraries, 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

Requirements

Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience
3+ years experience developing production-quality compilers, libraries, 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

Benefits

Applicant Tracking System Keywords

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

Hard Skills & Tools

C++FortranPythonOpenACCOpenMPcompilersruntime librariesparallelismhigh-performance computingauto-parallelization

Soft Skills

problem-solvingteamworkcommunicationcollaborationdebuggingprototypingdesign discussionimplementation strategy

Certifications

Bachelors DegreeMasters DegreePh.D. Degree