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# Sr. SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration

- **Company:** Amazon.com, Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $183,000.0 - $247,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Bash Shell, C++ (Programming Language), Computer Programming, Databases, Microarchitecture, Data Structures, Device Drivers, Embedded Software, Firmware, Python (Programming Language), Machine Learning, PCI Express, Productivity Software, Systems Development Life Cycle, Cloud Services, Software Engineering, Scripting, Bare Metal
- **Published:** July 14, 2026
- **Apply:** https://dejobs.org/x/x/514D4C082F194D82B25ECB1449940005/job/

## About the Role

* 5+ YoE in software development
 * Knowledge of HW/SW interfaces and computer architecture
 * Proficiency in programming in C/C++, scripting in Bash/Python
 * Proficiency in data structures and algorithms, * Knowledge in low level software such as firmware and device drivers
 * Knowledge in SoC architecture
 * Knowledge in IO(PCIE, AXI) , Memory(HBM, DDR), CPU architecture and Interconnects.

## Description

AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!

As a senior SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips.

You will work with architecture, design and emulation teams to build and test our next generation AI chips.

You will write bare-metal software and ML workloads to verify the end-to-end functionality and performance of the SoC.

If you have a solid background in embedded software, system development or chip design, come join us!


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