Senior Staff AI/ML System Software Engineer
Tasks
- Build compiler infrastructure
- Build scale software deliverables
- Collaborate with ML, systems, and hardware experts
- Deploy machine learning workloads on distributed multitenancy systems
- Design and implement distributed high performance software
- Develop, enhance, and maintain AI deployment software
- Implement MLOps training quantization sparsity preprocessing deployment
- Optimize hardware software co design trade offs
- Productize AI deployment software stack
Perks/Benefits
Skills/Tech-stack
C# | C++ | Computer Architecture | Data Structures | Distributed Systems | High Performance | High-Performance Computing | Inference Server | Kubeflow | Kubernetes | Linux | MLIR | MLOps | Machine Learning | Model Deployment | Model Preprocessing | Model Quantization | Model Sparsity | Model Training | NCCL | ONNX Runtime | OpenMPI | Performance Computing | PyTorch | Python | SIMD | System Software | TensorFlow | TensorFlow Serving | TensorRT | Triton Inference | Triton Inference Server | Vector processors
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
Regions
Countries
States
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