Senior HPC Performance Engineer

name; Schweiz; Vor Ort; CHF 140.000 - 230.000; Vollzeit

Benefits dieser Stelle

Competitive salaries

Generous benefits package

Equal opportunity employer

Zusammenfassung

NVIDIA is seeking a seasoned HPC analyst in the NVHPC group to analyze and run HPC applications on HPC servers, uncovering performance characteristics and optimization opportunities.

You will work on benchmarks and full distributed-memory workloads across CPUs, GPUs, and many-core systems, delivering guidance to compiler and applications teams. Strong math, parallel programming, and communication skills are essential.

Qualifikationen

• BS/MS or equivalent experience in Computer Science or related engineering field.
• 8+ years of programming experience.
• Solid understanding of Fortran/C/C++, parallel architectures; experience with OpenACC, OpenMP, MPI, CUDA.
• Strong skills in performance analysis and tuning; broad tools/runtime environments.
• Strong mathematical fundamentals (linear algebra, numerical methods).
• Excellent written and verbal communication skills.
• Ability to work in a dynamic, product-oriented team.
• Experience leading or managing projects is a plus.

Aufgaben

• Analyze HPC applications to understand performance characteristics.
• Identify optimization opportunities for compiler and applications teams.
• Assist customers in GPU-accelerated HPC applications.
• Advise and drive development based on analysis.

Kenntnisse

Fortran/C/C++

Parallel programming

OpenACC

OpenMP

MPI

CUDA

Performance analysis

Math fundamentals

Communication skills

Project leadership

Ausbildung

BS/MS or equivalent in Computer Science or related engineering field

Tools

Debugging tools

Porting

Assembly language programming

Jobbeschreibung

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.