Amazon Lab126 is an inventive research and development company that designs and engineer’s high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create?
Roles & Responsibilities
We are looking for a passionate, talented and inventive Applied Scientist in wireless to join our team. As part of the larger technology team working on new consumer technology, your work will have a large impact to hardware, internal software development, ecosystem, and ultimately the lives of Amazon customers. You must love building technologies & algorithms to deliver high quality wireless sensing & communication, and possess end-to-end expertise in signal processing and protocols. You must have a feel for what a good consumer experience should sound like.
Key job responsibilities
In your role, you will
· Statistical modeling and machine learning advancements to data analytics for customer-facing solutions in complex industrial settings. Work in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. Take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products
. Engage with an experienced cross-disciplinary staff to conceive and design innovative consumer products
· Work closely with an internal inter-disciplinary team, and outside partners to drive key aspects of product definition, execution and test by making architecture-cost trade-offs decisions.
· Develop and manage the roadmap, long-term vision and portfolio of new technology initiatives for the team
· Create evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal & external teams to improve the solution with new features.
· Improve, MAC, and link-layer scheduling algorithms
· Be responsive, flexible and able to succeed within an open collaborative peer environment and provide technical and scientific guidance to your peers.
· Communicate effectively with senior management as well as with colleagues from science, engineering, and business background
· Integrate vendor hardware and software stacks
· Mentor team members for their career development and growth
