Distinguished Engineer, Scaled Out Inferencing
Tasks
- Architect distributed inference pipelines
- Automate deployment and scaling
- Build systems and orchestration layers for model serving
- Collaborate on hardware-software co-optimization
- Contribute to open-source inference projects
- Coordinate with customers infrastructure providers and partners
- Define technical roadmap for model serving systems
- Design high throughput low latency distributed inference
- Implement kernel and driver level performance tuning
- Lead full lifecycle model deployment and versioning
- Optimize GPU resource management and hardware acceleration
Perks/Benefits
- N/A
Skills/Tech-stack
AI infrastructure | CUDA | Cloud Native | Cloud Native Architecture | Container Orchestration | Distributed Systems | GPU Architecture | Hardware acceleration | High Throughput | High-Throughput Systems | Kernel programming | Kubernetes | Linux | Low Latency | Low-Latency Systems | Model Serving | Multi-tenant | Multi-tenant architecture | Ray | SGLang | Tenant architecture | TensorRT-LLM | VLLM
Education
Roles
Regions
Countries
States
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