GPU Optimization Engineer
Posted 2 months ago Expired
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Upload Your ResumeAbout This Role
This role will optimize GPU-accelerated workloads for high-performance AI systems, focusing on performance, efficiency, and scalability. The engineer will collaborate with systems and ML teams to enhance training and inference performance across large-scale compute environments.
Responsibilities
- Optimize GPU-accelerated workloads for performance, efficiency, and scalability
- Use C++, GPU programming frameworks, and modern ML libraries
- Work closely with systems and ML teams to improve training and inference performance across large-scale compute environments
- Profile, debug, and tune low-level performance bottlenecks to maximize throughput and reduce latency
- Help push the limits of what’s possible in high-performance AI systems
Requirements
- Experience optimizing GPU-accelerated workloads
- Proficiency in C++
- Experience with GPU programming frameworks
- Familiarity with modern ML libraries
Skills
* Required skills
Benefits
About Goliath Partners
Goliath Partners has exclusively partnered with a fast-growing, venture-backed AI company operating at serious scale.