Applied Scientist - Perception (SLAM/VIO), Fauna

Amazon.com Services LLC
New York, US
On-site

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • deploying robust real-time perception systems
  • integrating perception outputs into autonomy stack
Typical background
phd or master's degree in robotics or related field

Transferable backgrounds

Skills & requirements

Required

visual inertial odometrysensor fusionembedded systems

Preferred

legged robot experiencereal-time systems programming

Stack & domain

PythonJavaC++Machine learningSensor fusionState estimationEmbedded deploymentRobotic hardwareDeep learningGeometric techniquesCalibrationEvaluationBenchmarkingReal sensor dataReal-time systems programmingPerformance profilingRos/ros2Nvidia jetsonQualcomm rb5Stereo vision systemsCamera-imu calibrationTime synchronizationSensor characterizationRoboticsComputer visionPerception

About the role

DESCRIPTION

We are seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for our intelligent robots. In this role, you will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time, even in challenging and dynamic environments.

You will own the full pipeline from algorithm development through embedded deployment, ensuring that perception systems run efficiently on resource-constrained robotic hardware. You will also leverage modern machine learning…

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