ML Performance Optimization Engineer

About this role

Optimize autonomous driving AI models for efficient vehicle deployment by enhancing GPU/NPU performance and improving system reliability. Collaborate with AI and software teams to validate models, conduct profiling, and automate performance analysis for self-driving systems.

What you'll do

• Optimize deep learning models using GPU/NPU acceleration techniques
• Validate model performance and conduct system profiling
• Analyze and optimize CPU, GPU, and neural network accelerator performance
• Develop and automate performance analysis tools and evaluation metrics
• Support AI model deployment and runtime optimization in vehicle environments
• Collaborate with AI and software teams on performance improvements

What they're looking for

• Deep learning and machine learning systems
• Low-level performance optimization (CPU, GPU, NPU)
• C/C++, Python, and shell scripting
• Linux, QNX, or RTOS development
• System profiling and performance analysis
• CUDA, MKL, SIMD, or NEON optimization
• Computer vision and image processing
• Autonomous driving systems knowledge