SDE II - Scanless Tech, AR Scanless Technology

Job :  |  Services LLC

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply state of the art advances in robotics and software to solve real‑world problems that will transform our customers’ experiences in ways we can’t even imagine yet.

We invent new improvements every day. We are Amazon Robotics and we will give you the tools and guidance that you need to invent with us in ways that are rewarding, fulfilling and fun.

Amazon Robotics seeks an SDE II to spearhead development of machine learning and computer vision based software technologies. This role provides ample opportunity to influence, innovate and shape the next generation of robotics tech. You will have opportunities to partner with other software and hardware teams in Amazon Robotics and across Amazon. Joining this team enables you to be on the forefront of new product development and technology that improves our systems and the experience for our customers around the globe.

• Develop computer vision applications that run at the edge and in the cloud. You will leverage state-of-the-art CV techniques at the edge and AWS ML technologies.
• Partner with other engaged, friendly, fundamentals-first thinking oriented engineers to translate customer use cases and implement core engineering capabilities for Amazon's enormous fulfillment network.
• Operate across multiple layers of the stack to design and build fault-tolerant production software that optimizes our fleet of fulfillment infrastructure and robots.
• Participate in software architecture and design reviews.
• Develop tools to test and evaluate complex systems, including those deployed in production at customer sites, and dig into critical pieces of distributed systems like logging, tracing, metrics.
• Hire and mentor other engineers on the team.

Amazon Robotics is developing state-of-the-art technologies that will forever change the way products and packages are identified, all by using Computer Vision and Machine Learning. We envision a time when manual item identification (typically barcode scanning) is a vestige of the past. As a technical guide for the development of new components and cross‑functional programs requiring the work of multiple engineers and scientists, you will partner with Applied Scientists to prototype and develop Machine Learning applications that deliver on this vision.

Amazon offers a full range of benefits for you and eligible family members, including domestic partners. 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.

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

• 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
• 1+ years of software development engineer or related occupational experience
• 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
• 1+ years of Object Oriented Design experience
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• Experience programming with at least one software programming language

• 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
• Knowledge of machine learning model architecture and inference
• Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP)…