
Job Information
Amazon Software Development Engineer, Amazon Robotics Autonomous Mobility in North Reading, Massachusetts
Description
The Amazon Robotics Autonomous Mobility software team develops the software that powers Proteus, Amazon’s first fully autonomous warehouse robot. We are growing and are looking for a Software Development Engineer to join our Platform, Data and Tools 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 ML training and deployment pipelines.
Key job responsibilities
Specific areas of focus may include (but are not limited too):
• Optimizing runtime performance of core algorithms by exploiting underlying hardware acceleration capabilities
• Integrating new sensors and hardware components into the software stack
• Developing and customizing our Nvidia Jetpack based platform and OS.
• Building data pipelines and tools to enable our ML-development flywheel
• Developing software to enable remote diagnostics, recovery and control of autonomous robots
• Building visualization tools for analyzing and debugging robot behavior
• Designing and developing software interfaces to enable hardware testing and manufacturing processes.
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 autonomous navigation software 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?
Basic Qualifications
3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Bachelor's degree in computer science or equivalent
Experience developing software for real-time and embedded systems
Preferred Qualifications
Experience developing software for real-time and embedded systems
Experience with Linux kernel and OS setup and configuration
Device driver development
Experience with ROS
Experience with ML frameworks such has AWS Sagemaker, Pytorch, and MLFlow.
Experience with NVIDIA JetPack SDK and related technologies
Experience with Yocto
GPU development experience
Experience building and maintaining developer-facing tools
Experience with AWS services and technologies
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, 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.
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