Senior Applied Scientist - SLAM and Perception, Robotics

Senior Applied Scientist - SLAM and Perception, Amazon Robotics

Job :  |  Services LLC

Final date to receive applications:
Jul 10, 2026

The Amazon Robotics Autonomous Mobility software team develops the autonomy software that powers Proteus, Amazon’s first fully autonomous warehouse robot. We are looking for a Senior Applied Scientist to join our perception and localization team. You will be part of an exceptional group of engineers building the platform and architecture for our onboard mapping, perception, motion planning, and control software. In addition, you will collaborate with engineers and scientists across the team to develop and enhance our real‑time multi‑robot simulation capabilities.

• Research, design, and implement scientific approaches for sensor calibration, including cameras and LIDARs.
• Research, design, and implement scientific approaches for SLAM (simultaneous localization and mapping).
• Support and improve large‑scale deployment of a SLAM system shared across an autonomous robot fleet.
• Evaluate and integrate new sensing modalities into an existing autonomy software stack.
• Optimize runtime performance of autonomy algorithms by exploiting underlying hardware acceleration capabilities.
• Build frameworks for large‑scale replay and analysis of events in pre‑recorded sensor data.
• Deliver high‑quality production‑level code (C++ or Python) and support systems in production.
• Collaborate with other functional teams within a robotics organization.
• Collaborate with hardware engineering team members on developing systems from prototype to production level.
• Work with stakeholders across hardware and operations teams to iterate on system design and implementation.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. The benefits that generally apply to regular, full‑time employees include:

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

We are a multi‑disciplinary team of collaborative Applied Scientists and Software Engineers with expertise in Computer Vision, SLAM, motion planning, and controls. Our mission is to deliver a robust software solution that utilizes state‑of‑the‑art sensor technologies and algorithms to enable safe and efficient operation of autonomous mobile robots throughout the Amazon fulfillment and transportation network. We take this mission seriously and work hard to achieve it, but we have a lot of fun along the way.

After all, what’s more fun than building robots?

• 3+ years of building machine learning models for business application experience
• PhD or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning
• Proven experience in robotic perception, SLAM, or computer vision
• M.S. or PhD in Engineering, Sciences, Mathematics, or similar fields
• Excellent C++ or Python programming skills including debugging, performance analysis, and test design

• Experience with modeling tools such as R, scikit‑learn, Spark MLLib, MxNet, Tensor Flow, Num Py, Sci Py, etc.
• Experience with large‑scale distributed systems such as Hadoop, Spark, etc.
• PhD and 7+ years of relevant industry or academic research experience in developing algorithms for robotic perception
• Expertise in C++, Python or any object oriented programming language
• Expertise in SLAM, 3D reconstruction, sensor calibration, or related fields
• Experience using sensors such as cameras, LIDAR, radar, sonar, GPS, IMU, etc.
• Track record delivering complex algorithms on robotic devices
• GPU programming experience (CUDA/OpenCL)
• Publications in robotics and computer vision conferences and journals

Base salary range: $167,100 – $226,100 USD annually (Denver, CO; North Reading, MA)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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