Sr. Camera Systems Engineer, AWS Hardware Development
As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Our checkout-free shopping experience is made possible by our Just Walk Out Technology. It automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our technology uses computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA. We need people who want to join a high-reaching program that continues to collaborate and push the state of the art in computer vision, machine learning, distributed systems and hardware design.Key job responsibilitiesWe are looking for excellent engineers that epitomize technical and operational excellence that can drive innovation and apply technologies to solve real world challenges. As an experienced Camera System Engineer within our team, you will collaborate with a skilled and accomplished cross-disciplinary staff and internal and external stakeholders to drive key aspects of technology solution definition, execution and validation.Full cycle product development experience from inception through maturity is important. Working simultaneously on projects in different phases is common; you are able to demonstrate strong design and validation skills in addition to the understanding of mechanics of ongoing operational excellence and product support. You are responsive, flexible, and able to succeed within an open collaborative peer environment.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that's more startup than a big company. We will need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. You will tackle challenging, novel situations every day and, given the size of this initiative, you will have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a ton and make a positive impact on millions of people. A day in the lifeYou will specify several aspects of the system: * Optical: field of view, dynamic range, resolution, video encoding, auto-exposure, image stabilization, auto white balance, and auto-focus. * Mechanical: mounting and environmental fitness * Electrical/interface: power, bandwidth, and encoding * Software: compatibility with AWS Data Stream Processing, video decoding, device health monitoring and remote maintenance * Financial: unit, Non-Recurring-Expenses, connectivity, data streaming and processing, and field replacements and decommissioning at statistically predicted rates * Application: reliability, security, safety and EMC compliance* Camera care and feeding: site requirements, installation, operational metrics, troubleshooting, replacement, and decommissioning.You will write and present recommendations, experiment outcomes to Director level leadership.About the teamThe Just Walk Out hardware team (Argon) develops the hardware and firmware that enable our sensor, vision, and RF solutions that enable the frictionless shopping experience in our cashierless stores. We are a group of many engineering disciplines, all working together closely to ideate, prototype, mature, and launch into high volume production custom hardware products. Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- BS EE or CS, Physics, Image Science, Electrical Engineering or related experience.- 5 years of work experience with camera system development, validation, and deployment.- Experience in imaging optics, camera modules, lens design and illumination design.- Experience with image pipeline in still and video cameras, including selection and specification of video encoding / decoding algorithms.- Clear and concise documentation and communication skills. ...