Intern Assistant Engineer AI Inference Performance
2 months ago
Our team has an immediate 12-month internship opening for an Assistant Engineer.
Responsibilities:- Assist in developing and maintaining performance monitoring tools.
- Support profiling and analyzing inference workloads to identify performance bottlenecks.
- Contribute to applying optimization techniques such as quantization, kernel fusion, and pruning to enhance inference performance under the guidance of senior engineers.
- Help optimize AI workloads across multiple hardware platforms (e.g., GPUs, edge devices).
- Collaborate with senior engineers, research teams, and AI infrastructure teams to integrate optimizations into AI inference pipelines.
- Learn to utilize profiling tools such as TensorBoard, PyTorch Profiler, and NVIDIA Nsight to identify key performance insights.
What you’ll bring to the team:
- Currently pursuing or recently graduated with a Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI/ML, or a related field.
- Familiarity with programming languages like Python or C++.
- Basic knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) and AI inference.
- Strong background in profiling and performance analysis tools.
- Strong analytical and problem-solving skills with an eagerness to learn.
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