Sr. Linux Software Engineer
Device Drivers
Confirmed live in the last 24 hours
Recogni

51-200 employees

Realtime object recognition
Locations
San Jose, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Computer Vision
Data Structures & Algorithms
Git
Linux/Unix
Tensorflow
Python
CategoriesNew
AI & Machine Learning
Software Engineering
Requirements
  • 3-5+ years of Systems Software experience; candidates with more years of experience are encouraged to apply and may be considered for higher level roles
  • Experience with developing Linux Device Drivers
  • Experience in Sensor and robotics development: Motor drivers / sensors data reading / writing, camera calibration etc
  • Experience with version control software (Git, GitHub)
  • PCIe drivers, Device Tree, Yocto / BitBake etc
  • Strong scripting and debugging skills using shell scripts, Python
  • Implementing various development, testing, automation tools, and IT infrastructure
  • Familiar with/fluent in the latest versions of any of the following tech stack (ordered by relevance):
  • C/C++
  • PCIe drivers, Device Tree, Yocto / BitBake
  • TensorFlow, Python, Git(Hub/Lab)
  • Good knowledge in the fields of:
  • Loss function and regularizer design, quantization, multi-task learning, knowledge distillation, NN compression
  • CNN/DNN hardware acceleration
  • In-depth understanding of the implication of architectural model design decisions
  • (3D) Object Detection, Segmentation, Depth Estimation
Responsibilities
  • As a member of Recogni's system software team, you will be responsible for implementing the software that runs inside a high-performance and low-power convolutional neural network accelerator ASIC that forms the core of the company's flagship perception module product for autonomous driving applications
Desired Qualifications
  • B.S. in Computer Science, Engineering, Mathematics, or equivalent experience (Any more is a )
  • Experience with OpenCV, PCL or other computer-vision libraries
  • Experience with hardware and software components of perception systems (Radar, LiDAR, and/or Camera)
  • Knowledge of AI/ML concepts and algorithms