About AWS Utility Computing (UC):
About AWS
About AWS Neuron:
You will join a dynamic team building and applying AI agents to simplify and accelerate customer adoption of Trainium and Inferentia. As an SDE II you will work with external and internal customers to identify the main obstacles and the opportunities to accelerate their adoption of the Neuron technology.In this role as an Applied Scientist, you'll be instrumental in designing, developing, and deploying AI-driven solutions to port and optimize models to run on our Amazon's AI accelerators. You will architect and implement business-critical tooling, and advance the state of the art. You will need to be technically capable, credible, and curious in your own right as a trusted AWS Neuron engineer, innovating on behalf of our customers. Your responsibilities will involve tackling crucial challenges alongside a talented engineering team, contributing to leading-edge design and research in agentic and deep-learning systems software.
A background in machine learning and AI accelerators will be beneficial for this role.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- 3+ years of building models for business application experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions
- Experience in professional software development
- Publication record in ML model construction or optimization
- Experience testing ML model components for equivalence or performance
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