Software Engineer Hardware Abstraction Layer, AWS Machine Learning Accelerators

Custom silicon chips live at the heart of AWS machine learning servers (Trainium and Inferentia) and enable machine learning (ML) for AWSs customers. Were looking for engineers to scale the system software team developing the hardware abstraction layer (HAL) that manages these cutting-edge ML system-on-chips (SoCs). The HAL forms the lowest level of the AWS infrastructure management software stack.

As a software engineer developing the SoC HAL you will:

- Work with hardware designers to build HALs for newly developed SoC IPs
- Work with system software teams to solve SoC and system-level architectural issues drive debug architect the HAL itself and innovate on cross-functional solutions
- Continuously test and deploy your software stack to multiple internal customers
- Refactor and maintain existing codebases throughout the device lifecycle
- Innovate on the tooling you provide to customers making it easier for them to use our SoCs

AWSs Annapurna Labs organization designs and deploys some of the largest custom silicon in the world with many subsystems that must all be managed tested and monitored. The SoC HAL is a critical piece of the AWS infrastructure management software stack that ensure the chip is functional performant and secure.

You will thrive in this role if you:
- Are strong in C and familiar with Python
- Enjoy working with hardware-based systems and diving into chip and system architecture
- Know how to build effective abstractions over low-level SoC details
- Have strong opinions about software architecture and are able to apply them effectively
- Are familiar with modular driver architectures (such as the Linux or Windows device-driver stacks)
- Enjoy learning new technologies building software at scale moving fast and working closely with colleagues as part of a small startup-like team within a large organization

Although we build and deploy ML chips no ML background is needed for this role. You (and your software) wont be doing ML. Our HAL lives at the lowest level of the backend AWS infrastructure responsible for managing our ML servers. You and your team will develop HALs for components used by machine learning like PCIe and HBM but wont need to deeply understand ML yourselves.

This role can be based in either Cupertino CA or Austin TX. The team is split between the two sites with no preference for one over the other.

This is a fast-paced role where youll work with thought-leaders in multiple technology areas. Youll have high standards for yourself and everyone you work with and youll be constantly looking for ways to improve your software as well as our products overall performance quality and cost.

Were changing an industry. Were searching for individuals who are ready for this challenge who want to reach beyond what is possible today. Come join us and build the future of machine learning!

A day in the life
A few videos help explain what the Annapurna Labs ML team is working on:
- the team
Annapurna Labs designs custom silicon powering AWSs cloud infrastructure. Custom SoCs live at the heart of Amazon ML servers including Inferentia and Trainium Systems delivering high-performance ML inference and training at cloud scale.

- Experience programming languages such as C/C Python Java or Perl
- 2 years writing functional or performance models of hardware (SoCs ASICs GPUs CPUs IP blocks)
- Familiarity with SoC CPU GPU and/or ASIC architecture and micro-architecture

- 2 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Experience working with DV teams or integrating models into verification flows
- Experience with SystemC or TLM-based modeling
- Experience correlating functional models against RTL simulation or emulation
- Experience developing or calibrating performance models
- Familiarity with Modern C (20 and beyond)
- Experience with PyTest GoogleTest or similar test frameworks
- Experience with multi-threaded simulation

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Cupertino - 165200.00 - 223600.00 USD annually
USA TX Austin - 143700.00 - 194400.00 USD annually