Systems/GPU Research Engineer
Core
Develop new kernels, algorithms, and high-performance tensor libraries to improve inference for AI models.
Role type
Systems/GPU Research Engineer
Builds
High-performance AI inference systems and resource management tools
Domain
AI Infrastructure / GPU Computing
Deliverable
production ML models
Required skills
C++/CUDA, GPGPU, Linux, neural network performance optimization, system architecture design, research synthesis
Preferred skills
Published research at top AI conferences, expertise in market-based resource management
Technologies
C++, CUDA, Python, Linux
Responsibilities
Develop or extend parallel generic GPU libraries and kernels; Design and deploy market-based resource management systems; Investigate and summarize options for new system architectures; Prototype and evaluate novel state-of-the-art methods/models; Investigate and learn new frameworks and tools
Seniority
Mid-Senior, hands-on IC
