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Applied Scientist - Perception (SLAM/VIO), Fauna

Amazon· Amazon Robotics / Applied Science
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New York, NY$172.4k - $223.4kFull-timePosted yesterday

About the role

We are seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots. Design, implement, and deploy state estimation and tracking algorithms for real-time perception on resource-constrained hardware, combining learned perception with geometric techniques.

Responsibilities

  • Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms like Sprout
  • Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking
  • Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints
  • Apply modern ML-based perception techniques (learned features, depth estimation, neural odometry) to complement and improve classical geometric approaches
  • Build and maintain calibration, evaluation, and benchmarking infrastructure for perception systems
  • Collaborate with hardware, controls, and navigation teams to integrate perception outputs into the robot’s autonomy stack
  • Lead technical projects from research prototyping through production deployment

Qualifications

  • 3+ years of building models for business application experience
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals
  • Experience programming in Java, C++, Python or related language
  • Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
  • Hands-on experience developing and deploying Visual Inertial Odometry or visual-inertial SLAM systems
  • Strong understanding of multi-sensor fusion (cameras, IMUs, odometry) and state estimation (EKF, factor graphs)
  • Experience optimizing perception algorithms for embedded or resource-constrained hardware
  • Demonstrated hands-on experience with real sensor data, calibration, and physical robot platforms
  • Familiarity with modern ML approaches to perception (learned feature extraction, depth prediction, end-to-end odometry)

Skills

Required:Visual Inertial Odometry (VIO)Multi-sensor fusionEmbedded/edge deployment
Nice to have:Machine learning for perception

Benefits

  • Health insurance (medical, dental, vision, prescription)
  • 401(k) matching
  • Paid time off
  • Parental leave
  • Comprehensive benefits package including Life & AD&D insurance and optional supplements
  • Sign-on and RSUs as part of compensation
Last updated Oct 25, 2026. Interested? Apply on the company site.

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