High-performance Computing Engineer
Role details
Job location
Tech stack
Job description
We are seeking an experienced HPC Engineer to join a dedicated high-performance computing optimization team. This team sits at the intersection of R&D, hardware engineering, and distributed systems, focusing on maximizing computational throughput and efficiency rather than traditional system administration. You'll work with cutting-edge HPC technology to optimize parallel computing environments, GPU clusters, and interconnect systems, meeting the demanding requirements of AI and machine learning workloads.
You will focus on optimizing the performance of large-scale GPU clusters, targeting latency reduction, computational efficiency, and enhanced parallel processing capabilities. Working with InfiniBand networks and high-performance computing infrastructure, you'll collaborate with cross-functional teams to deliver scalable HPC solutions for client needs.
The role requires balancing operational optimization and troubleshooting (50%) with HPC architecture design and performance tuning projects (50%). You'll maintain and optimize distributed computing systems, managing over 30,000 GPUs across 10+ InfiniBand networks, while ensuring the optimal performance of global HPC infrastructure and driving continuous computational improvements.
Requirements
Do you have experience in Python?, Do you have a Master's degree?, * 5+ years of experience in HPC environments and parallel computing systems.
- Strong proficiency in Linux Kernel optimization for HPC workloads.
- Strong proficiency in C++ or C development for high-performance applications.
- Experience with Golang and/or Python for HPC tooling and automation.
- Experience with InfiniBand networking and high-speed interconnects.
- Experience with distributed computing architectures and cluster management.
