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Lead Self-Driving ML Optimization Engineer

Full-time
Transform the landscape of autonomous driving at Waabi as a Lead ML Optimization Engineer. Shape AI-driven systems and strengthen training capabilities for breakthrough results.
Join Waabi as we push the boundaries of self-driving technology. As a Lead ML Optimization Engineer, you will work with a talented team to establish standards for distributed training frameworks and tackle performance challenges in our AI systems. Candidates should have extensive experience in machine learning, coding proficiency, and a passion for innovation in autonomous technologies.
Key Responsibilities:
• Collaborate with engineers to enhance self-driving capabilities
• Build robust distributed training frameworks for research
• Analyze model runtime and memory for optimizations
• Assess and apply new technologies in training and inference
• Create effective CUDA kernels for system efficiency
Requirements:
• MS/PhD or Bachelor’s degree with 6+ years of experience
• Proficient in programming languages like Python, C++, or Rust
• Solid experience with frameworks such as PyTorch
• Familiarity with development pipeline stages
• Skilled with profiling and performance tools
Bring your expertise to Waabi and lead the charge in developing self-driving solutions.
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