Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products Fire Tablets Fire TV Health Wellness Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing its next generation SOCs for the machine learning enabled consumer products. We are looking for exceptional engineers to join the SOC development team and help develop the next generation of chips based on a revolutionary architecture. Work hard. Have Fun. Make History.
Key job responsibilities What will you do Analyze deep learning workloads and map them to Amazons Neural Edge Engine Propose and implement new hardware architectures or improvements to our existing ones that enable future ML workloads to run efficiently on our accelerator Collaborate closely with compiler engineers model developers hardware architects and product teams to build the best ML centric hardware and software solutions for our devices Deliver hardware architecture microarchitecture and other design collateral for our next generation ML accelerators Build tools for modeling and performance evaluation to enable power performance cost options and trade offs Work with full stack silicon designers to realize the architecture on silicon.
- 3 years of building machine learning models for business application experience - PhD or Masters degree and 6 years of applied research experience - Experience programming in Java C Python or related language - Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc. - Experience with large scale distributed systems such as Hadoop Spark etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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