AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud‑scale machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron.
This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like LLama3, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers, and many more.
The Distributed CoreTech training team works side by side with chip architects, compiler engineers and runtime engineers to create, build and tune distributed training solutions with Trn1.
Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.
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Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Our team values work‑life balance and encourages flexible working hours to maintain a healthy flow between personal and professional life.
We support new members and foster knowledge sharing and mentorship across a broad mix of experience levels and tenures, helping each team member develop into a well‑rounded professional.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.