Senior Software Engineer - ML Performance

Role responsibilities

Architect and implement scalable software solutions to optimize AI performance and latency for automated driving systems. Collaborate across teams to integrate algorithms and develop tools for evaluating on-vehicle compute resources.

Requirements

Requires a degree in Computer Engineering or a related field with 4+ years of experience, or an advanced degree. Expertise in GPU/DSP architecture, C++, Python, and AI deployment on embedded platforms is essential.

Key skills

GPU/DSP Architecture, Heterogeneous Embedded Computing, Python, PyTorch, ONNX, Numpy, Pandas, Modern C++, Parallel Programming, AI Deployment, Model Compression, Quantization, Pruning, Kernel Fusion, Distillation, SIMD

Keywords

Machine Learning, Robotics, Computer Vision, Embedded Systems, C++, Python, PyTorch, ONNX, GPU, DSP, SIMD, Model Quantization, Model Pruning, Inference Latency, Autonomous Driving, L3 Automation, Continuous Integration, Automated Testing, Code Review, Heterogeneous Computing, Data Structures, Parallel Programming, AI Performance, Embedded Platform, Software Architecture