Job Description
The role involves developing and implementing machine learning models for behavior prediction to enhance the decision-making capabilities of autonomous vehicles, focusing on processing large-scale sensor data and integrating these systems into the autonomous driving stack.
Key Responsibilities
- Develop key modules of the behavior prediction system to enhance autonomous vehicle decision-making.
- Create and maintain software infrastructure for processing large-scale image and LiDAR data.
- Design and implement optimized pipelines for data pre-processing, model training, and inference.
- Train and evaluate behavior prediction models such as LSTM and Transformer architectures.
- Develop scalable tools for continuous model improvement and rapid iteration.
- Integrate behavior prediction systems into the autonomous driving stack and conduct system testing.
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
- Ability to develop key modules of the behavior prediction system focusing on accurately predicting the movements and actions of surrounding objects
- Ability to 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
- Ability to design and write highly optimized pipelines for data pre-processing, model training, data post-processing, and inference, ensuring efficiency and scalability
- Experience in training advanced behavior prediction models, including LSTM, Transformer, and other relevant machine learning models
- Ability to evaluate model performance rigorously, identify and fix performance bottlenecks to achieve state-of-the-art results
- Experience in creating scalable training and evaluation tools and infrastructure to support continuous improvement and rapid iteration of behavior prediction models
- Ability to work closely with other engineers to integrate behavior prediction systems into the broader autonomous driving stack
- Experience conducting comprehensive system tests to ensure reliability and safety
Benefits & Perks
Salary Range: 170,000-250,000 USD
Work schedule: Onsite 5 days a week
Work environment perks: Collaborative, diverse, inclusive culture emphasizing respect, agility, and growth
Additional benefits: Opportunities to contribute to innovative autonomous vehicle technology, involvement in a rapidly expanding industry, and a focus on sustainability and safety in autonomous logistics
Ready to Apply?
Join Gatik and make an impact in renewable energy
Stay Updated on Sustainability Jobs
Get the latest renewable energy jobs and career tips delivered to your inbox.
Job Alerts
Get notified about new sustainability jobs
More at Gatik
More jobs at Gatik
Senior Staff Software Engineer Localization Visual Odometry
Gatik
Mountain View
Full Time
Dec 25
$170k-260k
Senior Staff Software Engineer, Localization
Gatik
Mountain View
Full Time
Dec 29
$180k-250k
Operations G A Recruiter Contract to Hire
Gatik
Mountain View
Full Time
Jan 2
More jobs in Mountain View, California
Senior Software Engineer, Machine Learning, Calibration
Nuro
Mountain View
Full Time
Dec 17
$194k-291k
Staff Software Engineer - Data Curation
Aurora
Mountain View
Full Time
Nov 25
$189k-303k
Senior Staff Software Engineer, Behavior Verification
Nuro
Mountain View
Full Time
Dec 22
$176k-320k