Senior HPC Performance Engineer

NVIDIA
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Assembly Language
C++
Compilers
Nvidia CUDA
Computer Programming
Software Debugging
Fortran
OpenMP
Performance Tuning
Software Engineering
Parallel Computation
Information Technology

Requirements

Do you have experience in Fortran?, * BS/MS or equivalent experience in Computer Science or related engineering field.

  • 8+ Years of programming experience.
  • Solid understanding of Fortran/C/C++, as well as programming techniques, especially for parallel architectures; preferably for compilers
  • Experience with OpenACC, OpenMP, MPI, and CUDA.
  • 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, logical approach to problem solving, good time management and task prioritization skills. Excellent written and verbal communication skills.
  • Strong communication skills are required along with the ability to work in a dynamic product oriented team.
  • Experience is leading and/or management projects is a plus.

Ways to stand out from the crowd:

  • 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.

About the company

NVIDIA is widely considered to be one of the technology world's most desirable employers with competitive salaries and a generous benefits package. We have some of the most forward-thinking and hardworking people in the world working for us. Our goal is to craft an environment where we can do our life's best work. If you're creative, autonomous and love a challenge, we want to hear from you! NVIDIA's invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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