Топовая возможность в мировом лидере беспилотного вождения: четкая роль техлида и сложнейшие технические задачи по оптимизации производительности ML.
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Hirify AI/Оригинал
TL;DR
Senior Software Engineer (ML Performance): Delivering a high-performance compute platform for autonomous driving software with an accent on ML model performance optimization and maintainable, high-quality solutions. Focus on designing technical roadmaps, optimizing compute performance at the compiler and infrastructure levels, and leading small engineering teams.
Location: Hybrid work schedule in Hsinchu City or Taipei City, Taiwan
Salary: $3,800,000—$4,370,000 TWD
Company
Waymo is an autonomous driving technology company building the World's Most Experienced Driver to improve mobility and safety.
What you will do
Act as Technical Lead for a small team of ~5 engineers focusing on individual ML model performance optimization.
Set the technical vision, direction, and multi-quarter roadmap for ML performance optimization.
Drive and coordinate large, open-ended technical projects spanning multiple application and infrastructure teams.
Analyze ML model performance and prototype solutions at the application, compiler, or infrastructure level (firmware, runtime, framework).
Influence infrastructure teams to prioritize and land performance-critical optimizations using solid methodologies.
Provide technical mentorship and guidance to team members to ensure technical excellence and code health.
Requirements
MS degree in Computer Science, Electrical Engineering, or equivalent practical experience.
5+ years of experience writing complex C++ and Python code.
7+ years of experience in optimizing compute performance for ML applications.
Experience in compute architectures, performance analysis, and optimization methodologies.
Must be based in or able to work from Hsinchu City or Taipei City, Taiwan.
Ability to communicate effectively with cross-functional teams and manage timezone differences.
Nice to have
Experience in ML modeling and ML compiler implementation.
Experience with performance tools, simulators, and HW/SW codesign.
Proficiency in building collaborations across application and infrastructure teams.
Experience with pruning, quantization, and other model performance optimization techniques.
Culture & Benefits
Hybrid work schedule.
Discretionary annual bonus program.
Equity incentive plan.
Generous company benefits program.
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