Software Development Student , Machine Learning Israel (MLIL) — Integration Validation

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 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

BASIC QUALIFICATIONS

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

PREFERRED QUALIFICATIONS

Programming experience in C / C++
Experience with Linux, embedded systems, firmware, or low-level programming
Exposure to hardware debugging, communication protocols (I2C, PCIe, SPI), or device drivers
- Demonstrated early adopter of AI-assisted development tools- uses LLMs or code-generation agents as part of daily workflow

Strong problem-solving skills and eagerness to learn in a hardware-focused environment
Team player, highly motivated, passionate about SW development, and a fast self-learner

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