Senior HPC Performance Engineer

NVIDIA; Horgenzell; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

A leading tech company is seeking a Performance Engineer to work on communication libraries that drive HPC and AI applications. You will be analyzing performance on large multi-GPU clusters, troubleshooting issues, and collaborating across teams. Ideal candidates will have a Master's or PhD in Computer Science, 3+ years of parallel programming experience, and proficiency in C/C++ and Python. This role promises a competitive salary and encourages innovation in a diverse workplace.

Leistungen

Highly competitive salary

Extensive benefits package

Diversity and inclusion initiatives

Qualifikationen

• M.S. or PhD in a relevant field with HPC experience.
• 3+ years of experience in parallel programming.
• Strong understanding of computer architecture and operating systems.

Aufgaben

• Conduct performance characterization on multi-GPU and multi-node clusters.
• Analyze interaction of libraries with hardware and software components.
• Triage and resolve performance issues for customers.

Kenntnisse

Parallel programming

Communication runtime experience (MPI, NCCL, UCX, NVSHMEM)

Performance benchmarking

HW-SW interactions

C/C++ programming

Scripting (Python)

Containers and cloud tools (Kubernetes, Docker)

Ausbildung

M.S. or PhD in Computer Science or related field

Tools

Kubernetes

Docker

SLURM

Ansible

Jobbeschreibung

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

• Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.
• Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack
• Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available
• Triage and root-cause performance issues reported by our customers
• Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information
• Collaborate with a very dynamic team across multiple time zones

What we need to see:

• M.S. (or equivalent experience) or PHD in Computer Science, or related field with relevant performance engineering and HPC experience
• 3+ yrs of experience with parallel programming and at least one communication runtime (MPI, NCCL, UCX, NVSHMEM)
• Experience conducting performance benchmarking and triage on large scale HPC clusters
• Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)
• Implement micro-benchmarks in C/C++, read and modify the code base when required
• Ability to debug performance issues across the entire HW/SW stack. Proficient in a scripting language, preferably Python
• Familiar with containers, cloud provisioning and scheduling tools (Kubernetes, SLURM, Ansible, Docker)
• Adaptability and passion to learn new areas and tools. Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

• Practical experience with Infiniband/Ethernet networks in areas like RDMA, topologies, congestion control
• Experience debugging network issues in large scale deployments
• Familiarity with CUDA programming and/or GPUs
• Experience with Deep Learning Frameworks such PyTorch, TensorFlow

NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. For Poland: The base salary range is 213,750 PLN - 370,500 PLN for Level 3, and 281,250 PLN - 487,500 PLN for Level 4.