DevOps Engineer, GPUaaS
Singapore, Singapore
SGD 140K-200K (estimate) Senior-level Full Time Found 10d ago
Tasks
- Automate infrastructure management
- Collaborate with software and admin teams
- Conduct GPU cluster benchmarking
- Design and support large-scale GPU clusters
- Identify bottlenecks and improve processes
- Implement CI/CD pipelines
- Implement security for multi-tenant GPU environment
- Learn high-performance distributed computing for AI and HPC
- Manage GPU resource provisioning
- Monitor system performance
- Optimize system parameters for AI workloads
- Participate in platform operational support shifts
- Provide technical support for GPU systems
- Set up GPU resource monitoring and logging
- Troubleshoot compute system issues
Perks/Benefits
Skills/Tech-stack
AI frameworks | Ansible | Automation | Bash | CI/CD | CUDA | Cloud Architecture | Containers | DPU | Data Center Deployment | Data center | DevOps practices | Distributed Systems | Docker | GPU Acceleration | GPU drivers | HPC workload management | High Performance | High-Performance Computing | Infiniband | Jenkins | Kubernetes | Linux | MPI | Monitoring Tools | NCCL | NVIDIA GPUs | Networking | Networking Technologies | Performance Computing | PyTorch | Python | RDMA | RoCE | Slurm | TensorFlow | Terraform | Workload management
Education
Bachelor's Degree in Computer Science | Engineering | Information Technology | Systems Engineering
Roles
Language: en |
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