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Gatik

Robot type
Autonomous Vehicle
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
May 16, 2024
Salary
$170,000–$250,000 a year
Full-time

Senior Behavior Prediction Engineer

Job description

We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik’s well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.

Visit us at Gatik for more company…

Job responsibilities

  • Develop key modules of the behavior prediction system, focusing on accurately predicting the movements and actions of surrounding objects to enhance the decision-making capabilities of our autonomous vehicles.
  • Create and maintain robust software infrastructure that enables the use of large-scale image and LiDAR data for learning algorithms, ensuring seamless integration and high performance.
  • Design and write highly optimized pipelines for data pre-processing, model training, data post-processing, and inference, ensuring efficiency and scalability.
  • Train advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models.
  • Create scalable training and evaluation tools and infrastructure to support continuous improvement and rapid iteration of behavior prediction models.
  • Work closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack and conduct comprehensive system tests to ensure reliability and safety.

Job requirements

  • Ph.D. with 3+ years of industry experience or Master’s degree with 5+ years of relevant industry experience
  • Strong experience with machine learning, particularly in the context of behavior prediction for autonomous driving.
  • Familiarity with machine learning models such as LSTM, Transformer, and other relevant architectures.
  • Proficiency in programming languages such as Python and C++.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Familiarity with large-scale data processing and cloud computing platforms.
  • Excellent problem-solving skills and ability to work collaboratively in a team environment.
  • Previous experience in autonomous driving or robotics is a plus.

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