LiDAR Perception Engineer - Autonomous Driving AI

Tensor Auto

San Jose (CA)

On-site

USD 75,000 - 300,000

Full time

14 days+
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Job summary

Tensor in San Jose, CA seeks talented software engineers to join our perception team. You will research and develop LiDAR detection models for our perception system and help design training pipelines or deploy models on chips.

We value 3+ years as a deep learning engineer, strong Python/NumPy and C++/CUDA skills, experience with PyTorch or TensorFlow, and knowledge of DL training frameworks and data-driven system design. Equitable equity incentives and comprehensive benefits offered.

Qualifications

  • 3+ years of professional experience as a deep learning engineer.
  • Proficiency in Python, NumPy, and C++/CUDA.
  • Experience with PyTorch or TensorFlow.
  • Familiarity with training and evaluation procedures for DL models.
  • Knowledge of developing an advanced training framework.
  • Experience with Git version control.
  • Understanding of data-driven systems.
  • Master's or PhD in CS or related field (or equivalent experience).

Responsibilities

  • Research and develop LiDAR detection model for perception system.
  • Participate in the design and development of whole training pipeline or deploy model on chips.
  • Improve system performance according to road test feedback.
  • Cooperate with annotation team and deployment team to make model release pipeline smoothly

Skills

Python
NumPy
C++/CUDA
Deep learning frameworks
Data-driven systems
Training frameworks
DL system development

Education

Master's or Doctoral degree in CS or related

Tools

Git

Job description

Tensor in San Jose, CA seeks talented software engineers to join our perception team. You will research and develop LiDAR detection models for our perception system and help design training pipelines or deploy models on chips.

We value 3+ years as a deep learning engineer, strong Python/NumPy and C++/CUDA skills, experience with PyTorch or TensorFlow, and knowledge of DL training frameworks and data-driven system design. Equitable equity incentives and comprehensive benefits offered.

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