Senior/Staff Software Engineer - Prediction Integration
Foster City, CA
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Zoox
Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing.
The Active Prediction Integration team is responsible for the development of a unified prediction and planning architecture, by integrating ML-based and first-principles-based models. It is a highly cross-functional team that collaborates with planning, prediction and behavior ML, and perception engineers to critically influence robot behaviors. You’ll be part of a passionate team dedicated to enabling Zoox’s rider-first experience by making the autonomous robot safer, smarter and more comfortable.
Together with the team, you will advance the state of the art in prediction and decision-making. We are looking for engineers with experience in developing and integrating advanced ML models in safety-critical production environments. If you enjoy learning new AI technologies and embrace the challenges of evolving prediction and planner architectures, we would like to hear from you.
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Together with the team, you will advance the state of the art in prediction and decision-making. We are looking for engineers with experience in developing and integrating advanced ML models in safety-critical production environments. If you enjoy learning new AI technologies and embrace the challenges of evolving prediction and planner architectures, we would like to hear from you.
Responsibilities
- You will work closely with Prediction and Planner to integrate advanced ML models and develop first-principles based safeguards, to ensure trustworthy prediction and decision making.
- You will inform and guide the development of new ML models and should be willing to dive deep and address issues in the model and data pipelines.
- You will design interfaces between prediction and planning, creating abstraction layers that facilitate modular integration of various machine learned components within the planning architecture.
- You will create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base.
- You will facilitate the collaborations between the prediction data/modeling teams and the planning and control teams in order to deliver architectural changes to the system.
Qualifications
- Master's or PhD degree in computer science or related field and 5+ years of relevant experience
- Fluency in modern C++ standards, programming and software design principles
- Strong knowledge of algorithmic design, implementation and optimization
- Prior experience or expertise in machine learning, either in model architecture or production data pipelines
- Demonstrated ability to communicate and collaborate cross-functionally
Bonus Qualifications
- Demonstrated ability to create real-time motion planning algorithms
- Experience with sequential decision making, including, but not limited to, imitation learning, reinforcement learning, joint trajectory prediction and planning, etc.
- Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, TensorRT) and basic knowledge of CUDA programming or willingness to learn
Zoox also offers a comprehensive package of benefits including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
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Categories:
Engineering Jobs
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Tags: Architecture Computer Science CUDA Data pipelines Deep Learning Machine Learning ML models PhD Pipelines PyTorch Reinforcement Learning TensorFlow TensorRT
Perks/benefits: Career development Equity / stock options Health care Insurance Salary bonus Signing bonus
Region:
North America
Country:
United States
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