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.
Requirements: 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.
This position is open to all candidates.