Embedded Software Engineer, Annapurna Labs

Amazon is hiring an Embedded Software Engineer, Annapurna Labs in Tel Aviv, Israel. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Join the Amazon Web Services family and take part in the development of next generation products that will define the future of the world’s leading cloud.

Annapurna Labs, an Amazon company, is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

The Nitro firmware team, part of Annapurna Labs, is position in the very heart of AWS technology engine.
Looking for an experienced Embedded Software Engineer, to join us in building the next generation of our products.

In this role you will be leading tasks involving peers from multiple disciplines, while enjoying every step of the journey.
You will have the opportunity to work on the heart of the network engine, at the world’s largest cloud provider, in a dynamic, open, fast-paced environment.

For further information we invite you to watch the AWS re:Invent 2025 - Deep Dive into the AWS Nitro System (CMP316) https://www.youtube.com/watch?v=cD1mNQ9YbeA

About the team
*Diverse Experiences
Amazon 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.
*Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
*Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
*Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
*Mentorship and 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.

Basic qualifications

- 2+ years of experience with embedded SW development
- Fluent in C
- Computer Science/Electrical/Computer Engineering graduate holding a BSc.

Preferred qualifications

- Experience with HW/SW interfaces at both the board and chip level
- Understanding of computer architecture
- Knowledge of network driver development and protocols
- Knowledge of SoC development life cycle
- Knowledge of working in Linux environments

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Embedded Software Engineer, Annapurna Labs at Amazon rates 31 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.