Robotics Perception Scientist — VIO & Sensor Fusion

Amazon Inc.; New York (NY); Presencial; USD 172.000 - 223.000; Jornada completa

Descripción de la vacante

Amazon Inc. is seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots.

You will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time. This deeply hands-on role involves working with sensors, hardware, and real-world data, prototyping and evaluating on embedded platforms, and collaborating with hardware and navigation teams to

Formación

• 3+ years of building models for business application experience.
• Patents or publications at top-tier peer-reviewed conferences or journals.
• Experience programming in Java, C++, Python or related language.
• Experience in 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)

Responsabilidades

• 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.

Conocimientos

Java

C++

Python

VIO

Sensor fusion

Embedded systems

Herramientas

ROS/ROS2

Jetson platforms

Embedded hardware

Descripción del empleo

Amazon Inc. is seeking an Applied Scientist to develop and optimize Visual Inertial Odometry (VIO) and sensor fusion systems for intelligent robots.

You will design, implement, and deploy state estimation and tracking algorithms that enable robots to understand their position and motion in real time. This deeply hands-on role involves working with sensors, hardware, and real-world data, prototyping and evaluating on embedded platforms, and collaborating with hardware and navigation teams to