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Autonomy Droid Perception SWE

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Autonomy Droid Perception SWE in USA

  • Zipline
  • Full time
  • Email
  • South San Francisco, CA

Responsibilities

  • Implement, train, and evaluate real-time 3D perception models using multiple cameras and timesteps.
  • Deploy perception models onboard resource-constrained computers and optimize their compute and memory usage.
  • Build visualization, introspection, evaluation, and data-flywheel tooling for understanding model performance and finding long-tail samples.
  • Work with motion planning to define compact subsystem interfaces and track metrics for overall system improvement.
  • Ship new production features or models approximately every six weeks.
  • At the Senior level, lead architectural decisions, experimentation, and ownership of a model head or backbone.
  • At the Staff level, roadmap onboard models and manage cross-functional interfaces.
  • Track research developments and apply new approaches to real-time, compute-constrained 3D perception.

Requirements

  • At least 5 years of experience for Senior candidates or 8 years for Staff candidates building and deploying deep-learning-based perception systems.
  • Experience with 3D geometry, semantic segmentation, or learned multi-view stereo.
  • Strong knowledge of classical computer vision, including camera calibration, epipolar geometry, structure-from-motion, and SGBM stereo.
  • Expertise in robotics fundamentals, including reference frames, matrix math, SE(3) manifolds, and probabilistic sensor fusion.
  • Hands-on experience training, iterating on, and optimizing CNN and transformer architectures on target hardware such as NVIDIA Jetson-class systems.
  • An engineering focus on production outcomes, prioritization, and scalable architecture.
  • Senior candidates should have experience across the ML lifecycle, including training, data annotation, evaluation, and hard mining.
  • Staff candidates should have experience influencing system-wide design across data pipelines, training infrastructure, and compute requirements.
  • Experience applying machine learning to hardware applications is preferred.

Benefits

  • The compensation package may include equity compensation, overtime pay, discretionary annual or performance bonuses, and sales incentives.
  • Benefits may include medical, dental, and vision insurance.
  • Paid time off is provided.

Salary: $200k - $280k/yr

Zipline

Zipline is redefining logistics with its instant delivery system that addresses urgent access challenges for a diverse range of customers, including governments and businesses. By leveraging advanced technology like robotics and autonomy, Zipline ensures equitable access to essential goods, wheth...

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