Super Sparks-校招-大模型应用研究员/工程师
Tasks
- Build AI driven control and interaction features
- Create AI algorithm components and service orchestration
- Deploy LLM VLM VLA to edge devices
- Design edge cloud collaborative inference architecture
- Develop AI agent framework for in vehicle scenarios
- Develop RAG prompt engineering and function calling applications
- Develop VLA based end to end control loops
- Implement low power quantization pruning distillation
- Implement multi turn interaction and tool calling
- Optimize AI inference engine for operating systems and middleware
- Optimize LLM inference performance
- Optimize communication protocol and data processing pipeline
- Perform fault prediction driving behavior and energy analysis
- Track and validate multimodal and embodied intelligence trends
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | ARM-A | Action models | DSP | Deep learning | Edge AI | Embedded Linux | Embodied intelligence | Function Calling | Knowledge Distillation | Language Models | Large Language Models | Machine Learning | Multimodal Models | NPU | ONNX | Prompt engineering | Pruning | PyTorch | QNX | Quantization | RAG | RTOS | TensorFlow | Vision Language Models | Vision-Language-Action Models | Vision-language | Vision-language-action
Education
Regions
Countries
States
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