Requirements:

• BS/MS or equivalent experience in Computer Science or a related engineering field.
• 5+ years of programming experience.
• Solid understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers.
• Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism.
• Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments.
• Strong mathematical fundamentals, including linear algebra and numerical methods.
• Understand performance considerations, tradeoffs, and impact.
• Expert interpersonal skills, a logical approach to problem-solving, good time management, and task prioritization skills. Excellent written and verbal communication skills, along with the ability to work in a dynamic development team.

Nice to haves:

• You have a deep understanding of machine architectures and micro-architectures.
• Experience with debugging and porting as well as assembly language programming is a significant advantage.

What you'll be doing:

• Analyze the effect of different compilers and compiler optimizations on HPC application performance.
• Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms.
• Communicate limits of compiler capabilities with application engineering to guide the best path forward towards improving performance.
• Port HPC applications to different platforms and programming models.
• Evaluate the impact of NVHPC package components, device driver, and system configuration on application performance.

Perks and benefits:

• Highly competitive salaries
• Comprehensive benefits package