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Closed listing

Amazon

SDE II, Perception and SLAM, Autonomous Mobility

Denver, CO, United States

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Posting language: English
Posted: Jul 22, 2026

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Original job description

Archived listing. The details below describe a past opening.

Description

Application deadline: Nov 4, 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 an enthusiastic Software Development Engineer to join our perception, localization, and machine learning team. You will be part of an exceptional group of collaborative 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 cloud-based robot log replay and simulation capabilities..

Key job responsibilities

Specific areas of focus may include (but are not limited too):

Design and develop perception capabilities for new sensor modalities, 3D obstacle avoidance, and localization to support a new types of mobile robots.
Explore new agentic AI capabilities for task generalization.
Design and implement robotic applications and infrastructure in the cloud.
Collaborate with machine learning and perception experts to implement, measure, and deploy algorithms, such as machine learning models.
Influence the team's strategy and contribute to long-term vision and roadmap for generalizable autonomous mobile robotics.
Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.
Prototype and test concepts or features, both through simulation, emulators, and with live robotic equipment
Profile, tune, and optimize system performance.
Mentor other engineer team members.

A day in the life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. 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

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

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 the 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?

Basic Qualifications

3+ years of non-internship professional software development experience
2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language
Experience with AWS or other cloud services.

Preferred Qualifications

Knowledge of distributed computing environments
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Hands-on experience with robotic systems.
Experience with robotic sensor modalities, obstacle avoidance, and localization systems.
Experience with AWS - any or all of EC2, S3, EBS, ELB, Dynamo DB, EMR, Glue, Athena
Experience developing cloud services with an understanding of design for scalability, performance and reliability
Experience with data modeling, warehousing and building ETL pipelines
Experience with mobile robotics, including the areas of machine learning, data labeling, sensor procession, perception, and localization.
Experience with AI-native development and Agentic AI tools and frameworks.

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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

USA, CO, Denver - 143,700.00 - 194,400.00 USD annually

USA, MA, North Reading - 143,700.00 - 194,400.00 USD annually

About employer

More about this job

Skills

SLAM
Collaborate with engineers
Robotics
Process improvement
Software development
AWS
Distributed computing
Amazon DynamoDB
EMR
Data modelling
Warehouse operations
Data engineering
Machine learning
Recruitment
Mental health

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