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BASIC QUALIFICATIONS - Bachelor’s Degree in Computer Science or Electrical Engineering. Firmware and Security Software Engineer, AWS Annapurna Labs, AWS Annapurna Labs Join the Amazon family and take part in the development of next generation products that will define the future of the cloud domain.
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Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related field. Previous software engineer (internship/professional) experience with Pytorch/Jax/Tensorflow, Distributed libraries and Frameworks, end-to-end model training, and sharding.
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C#, Java, Python, Golang, PowerShell, Ruby- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or similar technical field. Contribute to engineering efforts from design to implementation, solving complex technical challenges around developer and engineering productivity and velocity especially as it relates to rapid test iteration.
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Knowledge and understanding of security engineering, system and network security, authentication, and security protocols. AnnapurnaLabs, an Amazon company, is looking for talented engineers to help us develop the semiconductor platform which is based on revolutionary architecture.
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Currently enrolled in, or completed a Bachelor’s degree program or higher in Computer Science, Computer Engineering, Electrical Engineering or related fields. and a passion for systems software engineering such as kernel or embedded development, then this is a unique opportunity to join us in building the platform which is the basis for all new EC2 VPC features in the years to come.
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Currently enrolled in an Associates, Bachelors, Masters, or PhD in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields are considered with an expected graduation date between December 1, 2024 and September 30, 2025.
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As an SDE ML Apps Engineer, you will work alongside Research Engineers and Applied Scientists to build backend science components, including deep learning models that power our platform. 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.
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