Enable America Jobs

Description

Come join us to accelerate deep learning networks on Az1/Az2 Neural Edge processors and beyond. We deliver solutions to offload Speech and Computer Vision 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 software engineer to be part of an exciting technology creation team at Amazon. You will have an enormous opportunity to make a large impact on the design, architecture, and implementation of cutting edge deep learning technologies embedded into consumer products used every day, by people you know.

Key job responsibilities

In this role, you will:

• Be responsible for architecture and development of compiler stack for deep learning accelerator

• Profile, analyze and optimize system level performance, develop new tooling where necessary

• Participate in design reviews, API development, and documentation

• Successfully collaborate with hardware, applied science and other software teams

About the team

We are a vertically integrated team responsible for compiler, runtime and device software. We are also in a unique position to experience full lifecycle going from Pre Silicon bring up, shipping products to our customer and influence the next generation of hardware accelerators.

We are open to hiring candidates to work out of one of the following locations:

Sunnyvale, CA, USA

Basic Qualifications

• 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

• Experience programming with at least one software programming language

Preferred Qualifications

• 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

• Experience building compilers for application specific accelerators or custom instruction set

• Experience with neural network inference offload to GPU, DSP or custom accelerators

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $115,000/year in our lowest geographic market up to $223,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.