Jobs · echojobs
amazon software development engineer ml
Nimbus Data Systems · Boston · Indexed today
About the role
Develop and deploy LLMs in production on AI acceleration hardware.
– 3+ years of non-internship professional software development experience- Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Knowledge of machine learning model architecture and inference- 3+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software a
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Responsibilities
- ▸Develop and deploy LLMs in production on GPUs
- ▸Design and develop large-scale, multi-tiered software
- ▸Develop and design new and existing systems
Must-have skills
- ▸3+ years software development
- ▸2+ years system design/architecture
- ▸llm production deployment
- ▸machine learning model architecture
FAQ
Is the amazon software development engineer ml role at Nimbus Data Systems remote?+
This amazon software development engineer ml position is listed as onsite (Boston).
What is the salary for the amazon software development engineer ml role at Nimbus Data Systems?+
The listing states Estimated 100k-235k USD.
What seniority level is this amazon software development engineer ml role?+
This is a mid level position.
What skills does the amazon software development engineer ml role require?+
Key requirements include 3+ years software development, 2+ years system design/architecture, llm production deployment, machine learning model architecture.
How do I apply for the amazon software development engineer ml role at Nimbus Data Systems?+
Use the "Apply on echojobs" button to open the original posting on echojobs, where you can submit your application directly to Nimbus Data Systems.