Team Lead / Optimization Engineer
TURING株式会社
- AWS
- GCP
- Linux
- Kubernetes
- PyTorch
- OSS
- SoC
- LiDAR
- CUDA
- SLAM
- onnx
- Jetson
- GNSS
- IMU
- Automated driving
- RADAR
- TensorRT
- Quantization
- Slurm
- Lambda Cloud
- pruning
- parallel programming
- Camera sensing
- onnxruntime
- NVIDIA Nsight
- Sensafyusion
- End to end
-
¥7,000,000 - 15,000,000
-
Tokyo
-
11 to 100
Company Info
Churing is aiming to achieve complete automatic operation with its development of the Deep Learning Support System, which is the development and operation of large-scale GPU clusters for the development of the model of the complete automatic operation of the production AI team.Job Summary
In the position, you will be responsible for implementing the realization of recommendations based on end-to-end automated driving models, and implementing the realization of SoC implementation and optimization, PyTorch learning models to onnx, and implementation of vehicle loading systems.Duties
You will be responsible for implementing SoC implementation and optimization, high-speedization of the entire end-to-end model, implementation of PyTorch learning models to onnx, analysis and optimization of the current model bottleneck, and implementation of vehicle loading systems. You will also utilize hardware and software engineering techniques and knowledge of cloud and container, machine learning model development, and knowledge of hardware and software engineering.Login to see all information about offers.
By registering with LabBase Plus you...
- can view all offer information,
- receive notifications of new offers,
- possibly be scouted by corporations
Registration takes roughly 2 minutes