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Join our cutting-edge hardware development team as Micro-Architect and play a key role in defining and implementing the micro-architecture of advanced digital logic components.
What You'll Do:
Define and develop micro-architecture for complex logic blocks - from concept through high-quality RTL implementation
Collaborate closely with architecture, verification, design and software design teams
Write clear and detailed design specifications and drive architectural trade-off analysis
Optimize for performance and area
Contribute to innovation, methodology improvements, and technical leadership within the team

We are looking for talented engineers to help us develop a semiconductor platform based on revolutionary architecture.
Take part in the development of cutting-edge products within a disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, within a dynamic, open, fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.
We are looking for excellent electrical engineering graduates to join our talented Physical Design team, which develops our next generation products for the cloud market.
We will be conducting a unique training program for three months, where where you will be studying the following with our technical experts and team leaders:
* Backend development flow and stages (RTL to GDS).
* A wide variety of relevant tools and knowledge.
* Practical experience with the most advanced technologies in the industry.

Key job responsibilities
Join our three-month training program where you'll work alongside technical experts and team leaders to gain:
*Backend development expertise (RTL to GDS flow).
*Hands-on experience with industry-leading tools and technologies.
*Practical skills in AI-driven innovations and cutting-edge methodologies.
You'll collaborate with cross-functional teams throughout the chip development cycle and become an essential part of our dynamic physical design team, playing a critical role in next-generation cloud computing solutions development.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

As a DFT Engineer at Annapurna Labs (AWS), you'll take ownership of testability architectures and DFT logic, driving their development and verification through the full hardware lifecycle. Your responsibilities may include:
Define and implement DFT architectures for complex SoC designs.
Develop and integrate DFT logic including: MBIST (Memory Built-In Self-Test), JTAG/TAP, and boundary scan.
RTL coding and debug of DFT controllers and infrastructure using Verilog/SystemVerilog.
Drive gate-level simulations to validate DFT functionality and test patterns.
Develop and verify DFT logic using UVM-based testbenches, functional simulation, and coverage-driven verification.
Participate in design reviews, DFT sign-off processes, and tapeout preparation
Cross-functional collaboration with Design, Verification, Physical Design, and Production/Test teams.

As a Q&R Lab Engineer you will help to manage the qualification and testing of some of the most advanced ICs in the world, support the maintenance of the Lab equipment and help the Q&R Engineers ensure that the AWS cloud remain the most reliable cloud in the world.


Key job responsibilities
In this role you will have end-to-end responsibility for the Q&R labs, support Annapurna's Q&R Engineers to setup and conduct reliability tests, preform tests on leading world-class ICs using high-end equipment and support the operation and maintenance of the Q&R lab.

The Chip HAL team is looking for a talented Embedded Software Engineer, to join us in building the next generation of networking products. Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, fast-paced environment.

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 worlds largest cloud provider, in a dynamic, open, fast-paced environment.

The WSSI (Windows Silicon System Integration) team is looking for an experienced Data Science Manager to lead a team developing production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.

This role offers a meaningful leadership opportunity: managing a diverse team that includes researchers, MLOps engineers, and data management experts, while shaping the teams technical direction and influencing product directions in close partnership with product and system engineering teams, all within a culture that values inclusion, collaboration, continuous learning, and individual growth.

The teams primary focus is developing state-of-the-art computer vision solutions that can run efficiently under real-world edge-device constraints, including model size, latency, power, and deployment efficiency. In parallel, the team explores similar optimization opportunities for SLMs, enabling advanced AI models to run more efficiently across Windows products.

In this role, you will help turn applied research into production-quality AI experiences, collaborate closely with product, system engineering, software, and silicon teams, and create impact for millions of customers.


Responsibilities
Lead, grow, and develop a diverse data science team that includes researchers, MLOps engineers, and data management experts, while fostering a culture of technical excellence, collaboration, ownership, and continuous learning.

Define and drive the teams technical roadmap in close partnership with product and system engineering teams.

Guide the development of production-oriented AI solutions from research exploration through production deployment, with a strong focus on quality, scalability, reliability, and measurable customer impact.

Drive model efficiency and deployment readiness for constrained environments, ensuring AI solutions meet real-world requirements for performance, latency, footprint, and resource usage.

Mentor team members, create clarity, set priorities, and help the team deliver high-impact results in a dynamic and evolving environment.