Software Development Engineer - Generative AI, AGIF | Inference Engine
Software Development Engineer - Generative AI, AGIF | Inference Engine
Posted on :
31-07-2025
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1 Vacancy
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Job Description
Are you interested in advancing Amazons Generative AI capabilities Come work with a talented team of engineers and scientists in a highly collaborative and friendly team. We are building state-of-the-art Generative AI technology that will benefit all Amazon businesses and customers.
Key job responsibilities
As a Software Development Engineer you will be responsible for designing developing testing and deploying high performance model inference capabilities including but not limited to multi-modality SOTA model architectures latency throughput and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy and define the teams roadmap. You will drive system architecture spearhead best practices and mentor junior engineers.
A day in the life
You will consult with scientists to get inspiration of emerging techniques and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems and constantly create solutions to minimize the ops load.
About the team
Our mission is to build best-in-class fast accurate and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.
- 3 years of non-internship professional software development experience
- Must have one of the following two: 1) Prior experience with software performance optimization Or 2) Knowledge of Deep Learning and Transformer architectures
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with Large Language Model Inference
- Experience with GPU programming (TensorRT-LLM)
- Experience with Python PyTorch and C programming and performance optimization
- Experience with Trainium and Inferentia Development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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.
Key job responsibilities
As a Software Development Engineer you will be responsible for designing developing testing and deploying high performance model inference capabilities including but not limited to multi-modality SOTA model architectures latency throughput and cost. You will collaborate closely with a team of engineers and scientists to influence our overall strategy and define the teams roadmap. You will drive system architecture spearhead best practices and mentor junior engineers.
A day in the life
You will consult with scientists to get inspiration of emerging techniques and blend those into our roadmap; You will design and experiment with new algorithms from public and internal papers benchmark the latency and accuracy of your implementations; Most importantly you will implement production grade solutions and see them through the deployments swiftly; You may need to collaborate with other science and engineering teams to get things done properly; You will hold highest bar in operational excellence and support production systems and constantly create solutions to minimize the ops load.
About the team
Our mission is to build best-in-class fast accurate and cost-efficient frontier model inference solutions and infrastructure that will enable Amazon businesses to deliver more value to their customers.
- 3 years of non-internship professional software development experience
- Must have one of the following two: 1) Prior experience with software performance optimization Or 2) Knowledge of Deep Learning and Transformer architectures
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree in computer science or equivalent
- Experience with Large Language Model Inference
- Experience with GPU programming (TensorRT-LLM)
- Experience with Python PyTorch and C programming and performance optimization
- Experience with Trainium and Inferentia Development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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 youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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.
Employment Type
Full-Time
Department / Functional Area
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