SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration
Why This Role Stands Out
You'll drive cutting-edge machine learning chip development through hardware/software co-design, offering significant opportunities for technical growth within AWS's innovative environment. This hybrid role is perfect for experienced software developers with a background in embedded systems or chip design who are eager to contribute to foundational cloud technologies. Apply to join a team shaping the future of machine learning acceleration.
Quick Overview
Job Description
Custom machine learning chips are at the heart of our Trainium machine learning instances, and we invite you to build them with us!
As an 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 new silicon functionality.
You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC.
If you have a solid background in embedded software, system development or chip design, come join us!
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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 https://amazon.jobs/en/benefits.
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually
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