Responsibilities

The Perception Autonomy Engineer will work closely with cross-functional teams to co-define software and system requirements, analyze trade-offs, and shape the future generation of compute platforms. They will collaboratively integrate perception algorithms and machine learning models with vehicle hardware and software, ensuring seamless operation within autonomous driving systems. Additionally, the engineer will collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance, while conducting rigorous testing and validation of perception algorithms in simulated and real-world environments to ensure robustness, reliability, and safety. Furthermore, they will develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency, and optimize machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures.