Software Dev Mgr, ML Compiler, Edge AI Platform

Come join us to accelerate deep learning networks on Az1/Az2/Az3 Neural Edge processors and beyond. We deliver solutions to offload Speech Computer Vision and Generative AI workloads on a range of devices from Blink Smart Home camera to Echo Show line of products.
We are looking for a talented and passionate engineering leader to manage an exciting technology creation team at Amazon. You will have an enormous opportunity to lead a team that makes a large impact on the design architecture and implementation of deep learning technologies embedded into consumer products used every day by people you know. The position provides a unique opportunity to guide your teams contributions and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices while supporting both current and future compiler and ML accelerator architectures.
In this role you will lead a team working alongside partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also drive partnerships with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware ensuring scalability across current and future generations of ML accelerator architectures.


Key job responsibilities
Lead and manage a team of software engineers developing compiler infrastructure for deep learning accelerators
Drive technical vision and strategy for the deep learning compiler stack
. Manage project planning execution and delivery of compiler solutions
Build and maintain strong partnerships with hardware software applied science and product teams
. Develop and mentor team members manage performance and drive career growth
Drive hiring and team building initiatives
Architect and oversee development of software stack for deep learning accelerator
Lead design reviews API development and documentation efforts
Ensure successful delivery of deep learning workloads on heterogeneous device backends


- 3 years of engineering team management experience
- 7 years of working directly within engineering teams experience
- 3 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience partnering with product or program management teams
- Experience with neural network inference offload to GPU DSP or custom accelerators

- Experience in communicating with users other technical teams and senior leadership to collect requirements describe software product features technical designs and product strategy
- Experience in recruiting hiring mentoring/coaching and managing teams of Software Engineers to improve their skills and make them more effective product software engineers
- 7 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience with Machine and Deep Learning toolkits such as MXNet TensorFlow Caffe and PyTorch
- Experience building and leading compiler development teams
- Experience managing teams working on application specific accelerators or custom instruction sets

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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Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166400/year in our lowest geographic market up to $287700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.