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Senior Perception Engineer

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Senior Perception Engineer in USA new

  • CloudKitchens
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Design, train, and deploy machine learning models for perception in autonomous systems.
  • Develop algorithms for object detection, classification, segmentation, tracking, scene understanding, and 3D geometric reasoning.
  • Build multi-sensor and multi-modal fusion systems using cameras, LiDAR, radar, IMU, and other sensors.
  • Develop temporal models for objects, motion, trajectories, and environmental changes.
  • Create data, training, evaluation, and experimentation pipelines for perception development.
  • Define metrics connecting offline model performance to real-world system behavior.
  • Optimize perception models for latency, compute, memory, and power constraints on robotic platforms.
  • Investigate failures in deployed systems and improve models, data, and architecture.
  • Collaborate with AI Research, Robotics, ML Infrastructure, Software, Hardware, and Systems Engineering teams.

Requirements

  • 3–5 years of relevant experience working with perception systems and computer vision and machine learning models.
  • Strong software engineering skills in Python and/or C++.
  • Experience developing perception systems for autonomous vehicles, robotics, drones, industrial automation, or other embodied systems.
  • Experience with camera, LiDAR, radar, IMU, or other robotic sensor modalities.
  • Experience with multi-modal or multi-sensor architectures.
  • Knowledge of 3D geometry, coordinate transformations, calibration, localization, or state estimation.
  • Experience deploying ML models into real-time or safety-critical systems.
  • Experience optimizing models for latency, compute, memory, or power constraints.
  • Experience with large-scale perception datasets and training infrastructure.
  • Experience diagnosing long-tail failures and improving production perception systems through data-driven iteration.
  • Experience taking research ideas from experimentation through deployment on physical systems.
  • Publications or significant research contributions in computer vision, machine learning, robotics, or related fields are preferred but not required.

Benefits

  • Medical, dental, vision, disability, and life insurance.
  • Flexible Spending Account and Health Savings Account options.
  • 401(k), equity eligibility, sick time, unlimited flexible time off, and paid holidays.
  • Paid parental leave and pre-tax commuter benefits.
  • Team lunch in the SoMa office every Tuesday and Thursday.
  • This is a San Francisco-based role requiring onsite work five days per week.
  • The position is full-time and exempt, with applications accepted on an ongoing basis.

Salary: $208k - $245k/yr

CloudKitchens

CloudKitchens builds delivery-first commercial kitchen facilities and restaurant software for food and beverage operators. It leases turnkey kitchen space and provides tools for order management, delivery logistics, and multi-brand operations, enabling restaurants and entrepreneurs to expand with...

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