Software Development Engineer, AWS Neuron Frameworks
Cupertino, California
AWS Neuron is the complete software stack for the Inferentia and Trainium cloud-scale machine learning accelerators. As a part of the Neuron Frameworks team you'll deliver on PyTorch and JAX for AWS Neuron, working with the open source ecosystem.
You will develop and improve ML frameworks to deliver an outstanding user experience for PyTorch and JAX ML model developers. You will work closely with teams across AWS Neuron including compiler, training and inference optimization to optimize frameworks for AWS's accelerator architectures, and engage closely with the PyTorch and JAX and other ML Framework communities to take advantage of their latest capabilities and improve performance and usability.
A successful candidate will have experience developing Machine Learning infrastructure and/or ML Frameworks on XLA devices and corresponding framework components such as Torch-XLA, Torch Dynamo, Inductor, Open-XLA project integrations using PJRT or StableHLO, alongwith familarity of OpenXLA compilers. The ideal candidate should have a demonstrated ability to work with open source communities to influence future community direction, a solid software development experience and a motivation to achieve results. Knowledge of optimization of transformers is highly valued.
Key job responsibilities
As you develop and enhance features for ML Frameworks you'll build high-impact solutions with and for users at Amazon and across the ML industry. You will and work with the JAX and PyTorch open source communities to adopt and develop new technologies, and contribute innovations.
You'll collaborate with other engineers within Neuron and cross-functionally to help drive projects to successful business outcomes using your technical skills.
You will work in a fast-paced development environment, where you're always working on the most important challenges and customer needs.
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
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 $129,300/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.
You will develop and improve ML frameworks to deliver an outstanding user experience for PyTorch and JAX ML model developers. You will work closely with teams across AWS Neuron including compiler, training and inference optimization to optimize frameworks for AWS's accelerator architectures, and engage closely with the PyTorch and JAX and other ML Framework communities to take advantage of their latest capabilities and improve performance and usability.
A successful candidate will have experience developing Machine Learning infrastructure and/or ML Frameworks on XLA devices and corresponding framework components such as Torch-XLA, Torch Dynamo, Inductor, Open-XLA project integrations using PJRT or StableHLO, alongwith familarity of OpenXLA compilers. The ideal candidate should have a demonstrated ability to work with open source communities to influence future community direction, a solid software development experience and a motivation to achieve results. Knowledge of optimization of transformers is highly valued.
Key job responsibilities
As you develop and enhance features for ML Frameworks you'll build high-impact solutions with and for users at Amazon and across the ML industry. You will and work with the JAX and PyTorch open source communities to adopt and develop new technologies, and contribute innovations.
You'll collaborate with other engineers within Neuron and cross-functionally to help drive projects to successful business outcomes using your technical skills.
You will work in a fast-paced development environment, where you're always working on the most important challenges and customer needs.
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
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 $129,300/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.
Created: 2024-09-11
Reference: 2710481
Country: United States
State: California
City: Cupertino
About Amazon
Founded in: 1994
Number of Employees: 1600000
Website: https://www.amazon.com/
Career site: https://www.amazon.jobs/en/
Instagram: https://www.instagram.com/amazon/
LinkedIn: https://www.linkedin.com/company/amazon/
Facebook: https://www.facebook.com/Amazon
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