Senior HPC Performance Engineer

NVIDIA; France; Sur place; EUR 90 000 - 150 000; Plein temps

Résumé du poste

NVIDIA is seeking a senior HPC performance analyst to analyze and run HPC applications on NVIDIA HPC servers and systems, gaining insight into performance characteristics across distributed-memory, heterogeneous compute environments.

You will work with applications ranging from small synthetic benchmarks to full-scale distributed jobs, identifying optimization opportunities for compiler and applications engineering teams.

Qualifications

• BS/MS or equivalent in Computer Science or related engineering field.
• 8+ years of programming experience.
• Strong understanding of Fortran/C/C++, especially for parallel architectures.
• Experience with OpenACC, OpenMP, MPI, and CUDA.
• Strong skills in performance analysis and tuning, and broad understanding of parallel tools/runtime environments.
• Strong mathematical fundamentals including linear algebra and numerical methods.
• Excellent written and verbal communication skills.

Responsabilités

• Assist customers with GPU-accelerated HPC applications.
• Analyze HPC applications to understand performance characteristics.
• Provide advice to drive compiler and applications engineering development teams.
• Lead and manage projects is a plus.

Connaissances

Performance analysis

Parallel programming

Communication

Time management

Problem solving

Formation

BS/MS or equivalent in Computer Science

Outils

OpenACC

OpenMP

MPI

CUDA

Description du poste

As a member of our team in NVIDIA's NVHPC compilers & tools group, you will analyze and run High Performance Computing (HPC) applications on HPC servers and systems to gain insight into the performance characteristics of these applications. The applications you'll work with range from small synthetic benchmarks that use a single core to full applications that utilize all of the resources on distributed-memory systems with heterogeneous compute nodes including CPUs, GPUs and many-core processors. In this role you will analyze these applications and identify optimization opportunities for compiler development teams and application engineering teams.

What You’ll Be Doing

• Assist customers GPU accelerate HPC applications.
• Analyze High Performance Computing(HPC) applications to better understand their performance characteristics.
• Provide advise and drive compiler and applications engineering development teams based on the analysis of these HPC applications.

What We Need To See

• 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.

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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