Join us at the forefront of AI innovation. We’re redefining what’s possible with GPU-powered, datacenter-scale infrastructure—and we’re seeking a GPU Cluster Solutions Engineer to join our product development team. In this high-impact role, you will contribute to the design, implementation, and deployment of large-scale compute, storage, and networking rack solutions tailored for the global Cloud Service Provider (CSP) market. You will work at the intersection of hardware and software, ensuring that integrated rack systems meet the rigorous demands of modern hyperscale data centers.
Basic Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- Foundational understanding of x86/Arm server architectures, high-speed networking (e.g., Ethernet), and Linux OS environments.
- Proficiency in Python and shell scripting for developing cluster design, deployment, and test automation software.
- Strong verbal and written communication skills.
- Ability to distill complex technical issues into clear analyses and reports.
- Ability to quickly master new technologies and concepts, including GPU scale-up/scale-out fabrics, modern AI infrastructure, and distributed cluster software stacks.
Preferred Qualifications
- MS/PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field.
- Familiarity with heterogeneous computing and GPU system hardware and software, such as NVIDIA CUDA, AMD ROCm, collective communication libraries (e.g., NCCL), and server/NIC/switch firmware.
- Ability to innovate and publish at top conferences.
