NVIDIA 组招 ic3/4 MLE(Deep learning software engineer)

要求：美国full time 相关工作经验3年（或PhD new grad)
最低学历要求master
急招，希望1月底之前入职。


参考以下job description
https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Software-Engineer--Deep-Learning---Autonomous-Vehicles_JR1988503?source=jobboardlinkedin
不需要提交申请
如果认为自己条件合适，简历请直接发送至 jiandanaismail@gmail.com,
麻烦标题注明：NV内推 - your name
最好能在email中简单介绍一下自己的基本条件
如果合适会快速安排面试



补充内容 (2024-12-25 14:50 +08:00):
注意看job description哦，希望熟练onnx, pytorch, c++, model quantization相关技术, 会cuda, jax, TensorRT, torch-tensorrt更好。主要做AV/LLM/VLM model的inference optimization, deployment相关

What you'll be doing:
Train, fine-tune, optimize and customize perception DNNs in low precision (FP16/INT8)
Apply various quantization methods of DNNs
Improve DNN architectures using ML algorithms on NVIDIA GPUs or DLAs
Continuously improve inference speed, accuracy and power consumption of DNNs
What we need to see:
A MS or PhD in Computer Architecture, Computer Science, Electrical Engineering or related field or equivalent experience
2+ years of work experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc.)
Strong Python and C/C++ programming skills
Ways to stand out from the crowd:
Experience with NVIDIA software libraries such as CUDA and TensorRT
Familiarity with sophisticated C++11/C++14 language features and CUDA kernel programming.
Open source project ownership or contribution, balanced GitHub repositories, guiding and/or mentoring experience.

补充内容 (2024-12-25 14:52 +08:00):
希望帮忙加个米，发一条帖子40米好贵

邮件已发 感谢楼主内推！ arcusvd1996lsn@gmail.com

感谢楼主m***@gmail.com

感谢楼主ch***eer@gmail.com

有deploy DNN到传统automotive ECU的经验，但不是专门研究model quantization的，楼主的组里会考虑么？PhD做optimization and control的，也有一些关于computation stability和speed的implementation的经验，但大部分不是为了deploy DNN，大部分是为了deploy一些control, optimization和estimation的算法。
然后楼主补充内容里的工具是非常在意么？比如ONNX

感谢楼主，已发简历cheng***09@gmail.com

感谢楼主，已发邮件sheng***@gmail.com

感谢楼主，已发邮件xu***bme@gmail.com