HPC Hardware Engineer
SF Compute(5 days ago)
About this role
The company is developing a liquid market platform for GPU offtake, aiming to de-risk large infrastructure investments in AI compute clusters. The role involves supporting and scaling high-performance GPU clusters, automating operations, and shaping engineering culture as a key contributor.
Required Skills
- GPU
- High Performance Computing
- Linux
- Networking
- Automation
- Infrastructure as Code
- Troubleshooting
- Data Center Operations
- Kubernetes
- RDMA
About SF Compute
sfcompute.comSF Compute is a cloud computing company that offers large-scale, low-cost GPU clusters for rent on an hourly basis. With advanced infrastructure, including H100 GPUs connected via 3.2Tb/s InfiniBand, it supports a variety of workloads such as pre-training and inference. The platform is designed for flexibility, allowing users to scale their resources without long-term contracts or data transfer fees, and it provides dedicated support alongside competitive pricing structures. Customers include institutions and startups, making SF Compute a trusted choice for high-performance computing needs.
View more jobs at SF Compute →Apply instantly with AI
Let ApplyBlast auto-apply to jobs like this for you. Save hours on applications and land your dream job faster.
More jobs at SF Compute
Similar Jobs
Senior HPC DevOps Engineer
NVIDIA(2 months ago)
Senior AI-HPC Cluster Engineer - MLOps
NVIDIA(1 month ago)
Senior HPC Architect
NVIDIA(1 month ago)
Senior HPC Cluster Engineer - EDA
NVIDIA(1 month ago)
HPC Solutions Architect
Lavendo(24 days ago)
Engineering Manager, Internal GPU and HPC Computing Clusters
NVIDIA(6 months ago)