Overview
On Site
USD 151,300.00 per year
Full Time
Skills
Computer Vision
Generative Artificial Intelligence (AI)
Design Architecture
Embedded Systems
Consumer Goods
Hardware Development
Data Compression
Design Review
API
Documentation
Collaboration
Computer Hardware
Science
Deep Learning
Design Patterns
Mentorship
Neural Network
GPU
Digital Signal Processing
Software Development
Version Control
Testing
Computer Science
Training
PyTorch
SAP BASIS
Customer Service
Management
Business Operations
LOS
Onboarding
Recruiting
Amazon Web Services
Payments
Forms
Finance
Job Details
Come join us to accelerate deep learning networks on Az1/Az2 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 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 deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices.
In this role you will be work along side partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also partner up with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware.
Key job responsibilities
- Architect and develop software stack for deep learning accelerator
- Develop Compiler passes for graph ingestions, optimizations and partitioning.
- Develop backend code generation capabilities across heterogeneous platforms
- Profile, analyze and optimize system level performance, develop new tooling where necessary
- Participate in design reviews, API development, and documentation
- Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator.
- Mentor and provide guidance to junior engineers
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with neural network inference offload to GPU, DSP or custom accelerators
PREFERRED QUALIFICATIONS
- 5+ 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 compiler for application specific accelerators or custom instruction set
- Knowledge of compute offload using compiler frameworks such as TVM, PyTorch, XLA, MLIR
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 Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.
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 deep learning technologies embedded into consumer products used every day, by people you know. The position provides an unique opportunity to contribute and make an impact from hardware design stage followed by pre and post silicon development as well as productizing it on consumer devices.
In this role you will be work along side partner science teams to develop the compiler infrastructure and lower deep learning workloads to heterogeneous device backends. You will also partner up with peer science teams to innovate on model quantization and compression techniques for efficient execution on hardware.
Key job responsibilities
- Architect and develop software stack for deep learning accelerator
- Develop Compiler passes for graph ingestions, optimizations and partitioning.
- Develop backend code generation capabilities across heterogeneous platforms
- Profile, analyze and optimize system level performance, develop new tooling where necessary
- Participate in design reviews, API development, and documentation
- Successfully collaborate with hardware, software, applied science and product teams to onboard more and more user experiences to be powered by Deep Learning accelerator.
- Mentor and provide guidance to junior engineers
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Experience with neural network inference offload to GPU, DSP or custom accelerators
PREFERRED QUALIFICATIONS
- 5+ 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 compiler for application specific accelerators or custom instruction set
- Knowledge of compute offload using compiler frameworks such as TVM, PyTorch, XLA, MLIR
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 Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.