Staff Software Engineer, GPU Inference
Tasks
- Build performance and correctness infrastructure
- Debug across system layers
- Drive reliability in production
- Ensure numerical correctness
- Establish GPU operational readiness
- Improve inference performance
- Optimize model serving behavior
- Productionize GPU inference stack
Perks/Benefits
- N/A
Skills/Tech-stack
Asynchronous execution | Benchmarking | C++ | CI/CD | CUDA | Cache Management | Collective communication | Concurrency | Continuous batching | Determinism | Distributed Systems | Distributed systems debugging | Docker | Expert parallelism | Failure recovery | GPU Performance | GPU Synchronization | GPU performance profiling | HIP | KV cache | KV-cache management | Kernel Launches | Kubernetes | Linux | Memory Management | Multithreading | Numerical validation | Observability | Performance Profiling | Pipeline parallelism | Prefix caching | Profiling | PyTorch | Python | Quantization | RDMA | ROCm | Scheduling | Systems debugging | Tensor Parallelism | VLLM
Education
Roles
Regions
Countries
States
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