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Senior Perception Engineer

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Senior Perception Engineer in USA

  • San Francisco, CA

Responsibilities

  • Design, train, and deploy machine learning models for perception in autonomous systems.
  • Develop object detection, classification, segmentation, tracking, scene understanding, 3D perception, and geometric reasoning algorithms.
  • Build multi-sensor and multi-modal fusion systems using cameras, LiDAR, radar, IMU, and other sensors.
  • Develop temporal models for reasoning about objects, motion, trajectories, and environmental changes.
  • Create data, training, evaluation, and experimentation pipelines for perception development.
  • Define evaluation metrics connecting offline model performance to real-world system behavior.
  • Optimize perception systems for latency, compute, memory, and power constraints on robotic platforms.
  • Diagnose 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 machine learning 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) and equity eligibility.
  • Sick time, unlimited flexible time off, and paid holidays.
  • Paid parental leave.
  • Pre-tax commuter benefit plan.
  • Team lunch in the SoMa office every Tuesday and Thursday.
  • Based in the San Francisco office and requires onsite work five days per week.

Salary: $208k - $245k/yr

ATOMS

Atoms is Travis Kalanick's industrial robotics company, brought out of eight years of stealth in 2026 as the rebrand of City Storage Systems, the parent of CloudKitchens. It builds task-specific robots and automation infrastructure across three areas: Atoms Food (infrastructure for better food), ...

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