

AI System Research and Development Engineer - Optimization
Location
Bellevue, WA
Level
Full-Time
Department
Software Development
Type
Salary
Job Description
Posted on:
2025-03-28
Responsibilities
- Analyze and optimize GPU kernel performance for LLM training and inference.
- Develop strategies to enhance efficiency and scalability of deep learning systems.
- Profile and benchmark systems to identify performance bottlenecks.
- Implement optimizations to reduce latency and improve resource utilization.
- Stay updated with advancements in GPU kernel optimization and deep learning.
- Contribute to the development of agentic frameworks for LLM-driven workflows.
- Publish innovations and optimizations in technical blogs and conferences.
Job Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or related field; Master’s or PhD preferred.
- 5 years of experience in GPU kernel optimization or deep learning system optimization.
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
- Strong understanding of GPU architectures and CUDA experience.
- Experience with profiling tools and performance analysis methodologies.
- Solid problem-solving skills for debugging performance issues.
- Excellent communication skills for cross-functional teamwork.