May Mobility

Engineer

• Work closely with across functional teams to co-define software and system requirements, analyze trade-offs, and shape the future generation of compute platforms.
• Collaboratively integrate perception algorithms and machine learning models with vehicle hardware and software, ensuring seamless operation within autonomous driving systems.
• Collaborate with ML infrastructure teams to develop and optimize distributed training infrastructure, automate deployment pipelines, and enhance system reliability and performance.
• Conduct rigorous testing and validation of perception algorithms in both simulated and real-world environments to ensure robustness, reliability, and safety.
• Develop and optimize perception stack software using CUDA and GPU programming to accelerate computationally intensive tasks and maximize efficiency.
• Lead the efforts of optimize machine learning models for runtime efficiency, scalability, and performance across GPU, TPU, and CPU architectures, ensuring adaptability to various vehicle platforms.
• Stay at the forefront of machine learning, GPU programming, and autonomous driving technologies, integrating the latest advancements into the development process.
• Actively participate in feature design, code reviews, debugging, and issue resolution, driving improvements in perception software performance.

Autonomy Engineer – Perception Optimization