Senior/Staff Software Engineer

4 weeks ago

Foster City, California, United States Zoox Full time
Job Description

The Active Prediction Integration team at Zoox is responsible for developing a unified prediction and planning architecture by integrating machine learning-based and first-principles-based models. This is a highly cross-functional team that collaborates with planning, prediction, and behavior machine learning engineers to critically influence robot behaviors.

You will 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 machine learning models in safety-critical production environments. If you enjoy learning new AI technologies and embracing the challenges of evolving prediction and planner architectures, we would like to hear from you.

Responsibilities
  1. Work closely with the Prediction and Planner team to integrate advanced machine learning models and develop first-principles-based safeguards to ensure trustworthy prediction and decision-making.
  2. Inform and guide the development of new machine learning models and be willing to dive deep and address issues in the model and data pipelines.
  3. Design interfaces between prediction and planning, creating abstraction layers that facilitate modular integration of various machine learned components within the planning architecture.
  4. Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our codebase.
  5. Facilitate collaborations between the prediction data/modeling teams and the planning and control teams 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.
Compensation

There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $221,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.

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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