Hiring DL roles of NVIDIA
[Maimai Link]:
https://maimai.cn/jobs/job_detail?ejid=EnhjVzHX1dfPMi2CsCkpjA&fr=maimai-job-share
[Location]: Beijing or Shanghai
岗位有三个方向：
[岗位1]
[What you’ll be doing:]
Develop highly optimized deep learning kernels for inference
Do performance optimization, analysis, and tuning
Work with cross-collaborative teams across automotive, image understanding, and speech understanding to develop innovative solutions
Occasionally travel to conferences and customers for technical consultation and training
[What we need to see:]
Masters or PhD or equivalent experience in relevant discipline (CE, CS&E, CS, AI)
SW Agile skills helpful
Excellent C/C++ programming and software design skills
Python experience a plus
Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and GPU
GPU programming experience (CUDA or OpenCL) desired
5+ years of relevant work experience
[岗位2-]
[What you'll be doing:]
1-Developing production-quality software that ships as part of NVIDIA's AI software stack.
2-Analyzing the performance of important workloads, tuning our current software, and proposing improvements for future software.
3-Working with cross-collaborative teams of deep learning software engineers and GPU architects to develop innovative solutions
4-Adapting to the constantly evolving AI industry by being agile and excited to contribute across the codebase, including API design, software architecture, testing, and GPU kernel development.
[What we need to see:]
1-MS or PhD in relevant discipline (CS, EE, Math) or equivalent experience
2-Strong background in computer architecture
3-Strong C/C++ programming and software design skill
4-GPU programming experience (CUDA) desired
5-LLVM/MLIR development experience a plus
6-Good communication and organizational skills
[岗位3-]
[What you’ll be doing:]
1-Prototype state of the art deep learning and data analytics algorithms and applications. Analyze trade-offs in performance, cost and power.
2-Develop analytical models for the state of the art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.
3-Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uni-processor and multiprocessor configurations.
4-Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.
[What we need to see:]
1-Masters, or PhDs of computer science, electronics engineering, and relevant or equivalent majors are welcome
2-3+ years work experience
3-Your deep knowledge of computer architecture, performance modelling and performance analysis techniques will be a nice fit to this position.
4-Strong software skills with C++(or similar), Python, databases, and data visualization tools. Familiarity with CUDA is a plus.
5-Understand the basics of DNN, have kept up with state of art in some area of DNN research, and familiar with deep learning frameworks: Caffe, TensorFlow, Torch etc., and acceleration libraries.