Engineer, Senior-Machine Learning Tools
INR 2000K-3500K (estimate) Senior-level Full Time
Tasks
- Debug and analyze model performance and system issues
- Deploy large language models and vision models on device
- Develop Qualcomm AI Runtime QAIRT SDK
- Implement C and C++ software stacks
- Integrate generative AI models with edge runtime
- Optimize AI inference performance on Qualcomm SoCs
- Optimize algorithms for CPU GPU NPU accelerators
- Quantize models for efficient inference
Perks/Benefits
- N/A
Skills/Tech-stack
C# | C++ | CUDA | Cross-Attention | Design Patterns | Edge AI | Java | KV cache | Kernel development | Language Models | Large Language Models | Large Vision Models | Linux | ONNX | ONNX Runtime | Object-Oriented | Object-oriented programming | OpenCL | Processor architecture | PyTorch | Python | Quantization | SIMD | SIMD Processor Architecture | Self-Attention | TensorFlow Lite | Vision Models | Windows
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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