Software Dev Engineer Embedded Development

Amazon is hiring a Software Dev Engineer Embedded Development in Madrid, Spain. Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting mentions GenAI, CI/CD and Microservices among its tools and skills.
Level classes it as a junior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and develop scalable cloud-native software and microservices while leveraging AI-powered development tools.

GenAICI/CDMicroservices

computer-vision

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE-I, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Please note these are not remote positions.

Key job responsibilities
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.

Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.

Participate in code reviews and contribute to technical documentation.

Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.

Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.

Write clean, maintainable code following best practices and design patterns.

Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.

Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

A day in the life
As a Specialised Software Development Engineer, you'll immerse yourself in challenging projects that push the boundaries of technology.
Your day might involve learning from and collaborating with ML scientists to implement new model architectures, optimizing training pipelines for better efficiency, analyzing model performance metrics, and participating in design reviews for new ML features.
You'll work closely with product managers to understand requirements and with senior engineers to ensure your solutions meet Amazon's high standards for reliability and scalability.

About the team
The Video Streaming Quality (VQ) team at Ring focuses on improving the end-to-end video and audio streaming experience across millions of smart home devices. Our work spans from optimizing quality & observability, encoding optimization and research of next gen codecs as well as advanced streaming architecture. Our tech stack includes ML/AI frameworks for real-time inference on device and cloud, video codecs (H.264, H.265, AV1), WebRTC streaming, FFmpeg-based transcoding pipelines, and AWS cloud infrastructure. New hires would have the opportunity to work on impactful AI/ML research and engineering projects within a growing, collaborative team that is part of Amazon's expanding Madrid Tech Hub.

Basic qualifications

- Experience with video and image processing and compression algorithms and standards, computer vision and/or machine learning
- Experience working with or having knowledge of cloud computing and existing cloud technologies
- Experience with programming languages such as Python, Java, C++
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields
- Are enrolled in or have completed a Bachelor's degree or above in a relevant field
- Experience with data structure implementation, basic algorithm development, and/or object-oriented design principles
- - Expected graduation by November 2026 2026, OR graduated within the last 24 months

Preferred qualifications

- Experience from previous technical internship(s) or demonstrated project experience
- Experience with video encoding and streaming media standards
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience in English-language communication skills, both written and verbal
- Experience implementing innovative learning and development solutions in a fast-paced global environment
- Knowledge of software development lifecycle, including design, development, test, build, deployment processes and timelines
- Experience with on-device embedded/resource-constrained hardware
- Experience with one or more of the following: AI tools for development productivity, Cloud platforms (preferably AWS), Database systems (SQL and NoSQL), Contributing to open-source projects, Version control systems, Debugging and troubleshooting complex systems

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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

Software Dev Engineer Embedded Development at Amazon rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● 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.

Key facts

Software Dev Engineer Embedded Development is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in ES, M, Madrid.
The job was posted on September 11, 2026.
Seniority: junior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Computer visionGenAICI/CDMicroservices

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used GenAI in your day-to-day work.
What are the limits of CI/CD that you've run into, and how did you work around them?
What's a project where you used Microservices hands-on?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: Computer vision, GenAI, CI/CD, and Microservices. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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