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

Amazon; Austin (TX); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon in Austin, TX seeks an SDE for MLA hardware/software co-design on pre-silicon ML chips. You will drive HW/SW co-development, work with architecture and emulation teams to implement silicon functionality, and write bare-metal software to verify end-to-end SoC performance.

The role requires strong embedded software or system development background and experience with at least one programming language. You will join a team delivering high-performance ML acceleration in a cutting-edge cloud

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of design or architecture experience on new or existing systems.
• Experience programming with at least one software programming language.

Responsibilities

• Drive pre-silicon hardware/software co-design for our ML chips.
• Collaborate with architecture, design and emulation teams to build silicon functionality.
• Write bare-metal software to verify end-to-end functionality of the SoC and subsystems.

Skills

Software development

System design

Programming language

Education

Bachelor's degree in CS

Job description

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

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 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 .

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 (RSU). 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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https://www.amazon.jobs/en/faqs#faqs-for-us-government-employees

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