AI Software Engineer
Seattle (WA), United States
USD 151K-332K (estimate) Mid-level Full Time
Tasks
- Apply GPU level optimization using CUDA kernel fusion and memory throughput improvements
- Build scalable highly available infrastructure services for AI workloads
- Develop and optimize AI runtimes for LLM ASR and MT
- Implement inference optimizations for performance and efficiency
- Improve latency throughput and efficiency across serving pipelines
- Integrate and optimize new AI models for production inference
- Optimize model serving for edge devices and cloud deployments
Perks/Benefits
- Community involvement support
- Health mental and emotional wellness support
- Hybrid work
- In-person work
- Remote work
- Work-life balance support
Skills/Tech-stack
AWS | Azure | C++ | CUDA | Continuous batching | Docker | GCP | GPUMemory | Graph optimization | KV cache | Kernel Fusion | Kubernetes | MLflow | ONNX Runtime | PyTorch | Python | SGLang | TensorFlow | TensorRT-LLM | TorchCompile | Transformer Models | VLLM
Education
N/A
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