Software Development Student , Machine Learning Israel (MLIL) — Firmware
- Tel Aviv
- Company career page
- Verified live · yesterday
Mentioned in this posting
- Machine Learning
Description
Annapurna Labs builds the custom silicon that powers Amazon's machine learning accelerators. Our Machine Learning Israel (MLIL) Firmware team in Tel Aviv develops the low-level firmware that brings these Annapurna Labs builds the custom silicon that powers Amazon's machine learning accelerators. Our Machine Learning Israel (MLIL) Firmware team in Tel Aviv develops the low-level firmware that brings these ML servers to life — from board management and boot flows to device management and health monitoring across the platform. We are looking for a Software Development Student to join us part-time alongside your studies. You will work on real firmware that ships on production ML servers, writing and testing code, debugging on real hardware, and learning how large-scale accelerator platforms are built from the ground up. You will be working closely with silicon, hardware, and cloud teams to bring new accelerator platforms from first power-on to production. You will be paired with experienced engineers who will mentor you, review your code, and help you grow. This is a hands-on role for a student who is curious about how hardware and software meet, enjoys solving problems at a low level, and wants to make a real impact on systems used at massive scale. Key job responsibilities - Develop, test, and debug firmware components for ML accelerator servers - Write clean, well-tested code and participate in code reviews - Investigate and root-cause issues on real hardware in the lab - Build tools and automation that improve the team's development and validation flow - Collaborate with firmware, hardware, and platform engineers across the group - Currently enrolled in a Bachelor's or higher degree in Computer Science, Computer/Electrical Engineering, or a related field - At least 3 full semesters remaining until graduation - Available to work part-time (at least 2-3 days per week) alongside studies