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Xiaomi · 北京

# 端到端算法工程师实习生

北京 

Listed on Xiaomi ’s official careers site. Posted April 8, 2026. Check that it is still open and apply there.
[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/internship/position/7626230668045191460/detail)

[OpenNash Jobs](https://jobs.opennash.com/) / [Xiaomi ](https://jobs.opennash.com/companies/xiaomi/) / 端到端算法工程师实习生

## Job description
- Develop quantization, sparsity, pruning, and distillation techniques to enhance the production-level autonomous driving models.
- Optimize, convert, and deploy autonomous driving models (e.g., ONNX models) that operate efficiently on diverse hardware (GPU, CPU, in-house AI ASIC).
- Design and implement custom kernels using C++ and CUDA to accelerate model operations and pre/post-processing pipelines.
- Perform a systematic benchmarking, scaling, and validation of inference performance across various hardware platforms (GPU, CPU, in-house AI ASIC).
- Collaborate with hardware, compiler, and AI infra engineers to achieve efficient and accurate AI model inference.

## Qualifications
- Familiar with techniques like quantization, sparsity, pruning, and distillation for edge and real-time inference.
- Strong proficiency in Python and C++, and deep learning frameworks such as PyTorch.
- Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization.
- Strong understanding of computer systems and architecture, with experience deploying AI models on GPUs and NPUs.
- Experience with model optimization tools like ModelOpt/ONNXSim/TensorRT, as well as deploying models on edge devices or mobile platforms.
- Strong problem-solving skills with the ability to debug and optimize high-performance inference workloads.
- Experience collaborating with hardware/compiler/AI infra engineers to connect model-level and system-level optimization.

## At a glance
- Posted by the employer: Apr 8, 2026
- First seen by OpenNash: Aug 1, 2026
- Last checked: Oct 19, 2026
- Listed for: 194 days
- Location: 北京[Apply on Xiaomi ’s careers site →](https://xiaomi.jobs.f.mioffice.cn/internship/position/7626230668045191460/detail)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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