AI Software Engineer - Student position

NeuReality is seeking excellent students from Computer Engineering, Computer Science, or related fields to join our dynamic AI research and Software teams. This part-time position (2 days a week, or more) provides an exciting opportunity to collaborate on cutting-edge projects and contribute to the development of AI inference pipelines in NeuReality's SDK.


  • Conduct benchmarks to evaluate and enhance the performance of AI models.
  • Collaborate with AI research and Software teams to develop and optimize AI inference pipelines for NeuReality SDK.
  • Implement and integrate solutions using PyTorch and Python.
  • Work with open source deep learning frameworks and contribute to the development of ML systems performance.
  • Leverage knowledge in CUDA and GPUs for reference pipeline development and benchmarking (advantageous).


  • Currently enrolled in a Computer Engineering, Computer Science, or related program.
  • Proficient in PyTorch and Python.
  • Experience with open source deep learning frameworks.
  • Familiarity with CUDA and GPUs.
  • Advantageous: knowledge of C++
  • Advantageous: Understanding of quantization techniques in AI.
  • Advantageous: enrolled in M.Sc or higher education program.
  • Advantageous: Solid understanding of system performance (latency, throughput)
  • Advantageous: Experience with Triton inference server.
  • Advantageous: Experience with tensor IR runtimes: onnxruntime / TensorRT / TVM.
  • Advantageous: Experience with neural networks IR: torchscript/torch.FX / onnx / tvm. relay


  • Hands-on experience in a cutting-edge AI research and development environment.
  • Opportunity to work with industry experts and contribute to real-world projects.
  • Flexibility with a part-time schedule (2 days a week) to accommodate academic commitments.
  • Competitive compensation for student positions.

Join NeuReality and be part of a team that pushes the boundaries of AI technology. Apply now to contribute to the future of AI innovation!

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