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The ML Apps 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.Key job responsibilities
In this role you will be part of the chip design group, working on:
Development and implementation of DFT architecture
Design and verification of DFT logic and components
Generation of high-quality test and debug patterns
Static timing analysis of DFT modes
Silicon bring-up, diagnosis and support for physical failure analysis
A day in the life
Our offices are located in Sarona/Tel Aviv and Matam/Haifa.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred 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
- BSc degree in Computer/Electrical Engineering from leading universities.
- 7+ years of experience in Chip Design/ DFT/ Design Verification
- Verilog, System Verilog
- UVM methodology
- Scripting skills
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