Senior Solutions Engineer, AI Infrastructure
Tasks
- Create technical assets demos runbooks and field guidance
- Debug customer issues across Linux storage networking Kubernetes schedulers GPUs and applications
- Design architectures for large scale AI HPC analytics and data workloads
- Evaluate infrastructure for GPUs storage networking orchestration and data movement
- Lead technical discovery with customers
- Partner with product and engineering to capture customer requirements and roadmap inputs
- Partner with sales on technical strategy competitive positioning and deal execution
- Plan and execute Proofs of Concept
- Support transition from architecture design to production deployment
- Translate technical requirements into solution designs and deployment guidance
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Slurm | Apache Spark | BeeGFS | Ceph | Checkpointing | Data Pipelines | Distributed Systems | Distributed file systems | File systems | GPFS | GPUDirect | GPUs | High Performance | High-Performance Computing | InfiniBand RoCE | InfiniBand RoCE RDMA | Infiniband | Kubernetes | Linux | Linux Kernel | Load Balancing | Lustre | Model Serving | NCCL | NVIDIA CUDA | NVIDIA DCGM | NVIDIA Mellanox | Networking | Object storage | Performance Computing | Proof of Concept | RDMA | Ray | RoCE | Storage Systems | Weka
Education
N/A
Roles
Architect | Engineer | Solutions Architect | Solutions Engineer
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