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

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Amazon
Full Time position
Listed on 2026-08-20
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, DevOps, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 183000 - 248000 USD Yearly USD 183000.00 248000.00 YEAR
Job Description & How to Apply Below

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!

About the team

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Utility Computing (UC)

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.

Inclusive

Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and Amaze Con (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications:
  • 5+ years of software development experience
  • Knowledge of HW/SW interfaces and computer architecture
  • Proficiency in programming in C/C++, scripting in Bash/Python
  • Proficiency in data structures and algorithms
Preferred Qualifications:
  • Master's degree or Ph.D. degree in Electrical Engineering or related field
  • Experience in RTL coding and debug, as well as performance, power, area analysis and trade-offs
  • Experience with modern ASIC/FPGA design and verification tools
  • Experience with SOC bring-up and post-silicon validation

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:
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