Tasks:
- * Automate simulation task submission and result analysis
- * Build and maintain LLM inference pipelines
- * Build simulation training and evaluation platform
- * Develop and optimize autonomous driving simulation platform
- * Develop Python/C++ simulation tools and automation workflows
- * Develop simulation engine features
- * Identify root causes and generate reports
- * Process and analyze simulation data
Perks/Benefits:
Skills/Tech stack required:
[Agent Development] [Application development] [Batch Processing] [C++] [Concurrency scheduling] [CUDA] [Debugging] [Design Patterns] [GPU Inference] [GPU inference optimization] [Inference Optimization] [Linux] [LLM application] [LLM Application Development] [Object-Oriented] [Object-oriented programming] [ONNX] [Performance optimization] [Performance Profiling] [Python] [PyTorch] [RAG] [Software Design] [Software Design Patterns] [TensorRT] [Tool-Calling] [Workflow automation]
Educational requirements:
N/A
Role(s):
[Autonomous Driving Software Engineer] [Engineer] [Simulation Software Engineer] [Software Engineer]