Staff AI Engineer
Tasks
- Customize inference frameworks for production needs
- Design and build inference serving systems
- Drive technical design for inference engineering practices
- Implement and tune inference optimizations
- Monitor latency SLOs and respond to incidents
- Own end to end model deployment and serving
- Translate model architecture changes into inference implementations
- Write and profile CUDA kernels and custom ops
Perks/Benefits
Skills/Tech-stack
C++ | CUDA | CUDA kernel | CUDA kernel development | Cache Management | Continuous batching | FP8 | INT4) | INT8 | KV cache | KV-cache management | Kernel development | Memory Optimization | MoE Models | Multimodal Models | NVIDIA Nsight | ONNX Runtime | Prefill Decode | Prefill decode disaggregation | Profiling | Python | Quantization | SGLang | Speculative decoding | TensorRT-LLM | Transformer Models | VLLM
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer | Software Engineer
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