Key skills
DockerKubernetesLinuxPythonUnixBashAI
About this role
Role Overview
- Work closely with hardware, development teams to profile and analyze GPU performance at the system and kernel level.
- Evaluate and compare GPU performance across different platforms, architectures, and software stacks (e.g., CUDA, ROCm).
- Perform acceptance testing for new GPU clusters, ensuring hardware and software meet performance, stability, and compatibility requirements for AI workloads.
- Perform experiments across diverse GPU system configurations to assess the impact of varying interconnect strategies and system-level optimizations on performance and scalability.
Requirements
- Proficient in Unix/Linux, plus Python and Bash for automation.
- Good understanding of the GPU stack: CUDA, NCCL, drivers, and relevant libraries
- Proven ability to troubleshoot complex system issues including hardware, software, and networking problems.
- Familiarity with containerized environments (e.g., Docker, Kubernetes).
Tech Stack
- Docker
- Kubernetes
- Linux
- Python
- Unix
Benefits
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and work-life balance
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams