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

Amazon Web Services (AWS); Cupertino (CA); On-site; USD 157,000 - 213,000; Full time

Job summary

Annapurna Labs (U.S.) Inc. in Cupertino, CA is seeking an SDE for the pre-silicon team to drive hardware/software co-development of our machine learning chips. You will collaborate with architecture, design and emulation teams to define silicon functionality and verify end-to-end systems.

The role requires a solid background in embedded software or chip design, and you will write bare-metal software to validate the SoC subsystems, ensuring performance and correctness across levels.

Qualifications

• Bachelor's degree in Electrical Engineering or a related field.
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills.
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing.

Responsibilities

• Drive pre-silicon hardware/software co-development for our ML chips.
• Collaborate with architecture, design and emulation teams to build silicon functionality.
• Write bare-metal software to verify end-to-end SoC functionality and subsystem performance.
• Apply embedded software/system development or chip design background to validation work.

Skills

Bug identification

System debugging

SoC verification

Embedded software

Education

Bachelor's degree in Electrical Engineering or related field

Master's degree in Electrical or Communications Engineering or related field

Tools

Python

Job description

Description

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.

Description

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!

About The Team

Why AWS

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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 AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

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Mentorship and Career Growth

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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

• Bachelor's degree in Electrical Engineering or a related field
• Experience identifying bugs in architecture, algorithms, functionality, and performance with strong overall debugging skills
• Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing

Preferred Qualifications

• Master's degree in Electrical or Communications Engineering or a related field
• Experience with formal verification techniques including abstraction and end-to-end checking
• Experience with ARM and various DSP ISAs
• Experience with current and upcoming RF standards in cellular (4G/5G NR), WiMAX, 802.11ad, microwave backhaul, or related broadband wireless standards
• Experience with industry standard tools and scripting languages (Python or Perl) for automation

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 Company’s 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 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, CA, Cupertino - 157,300.00 - 212,800.00 USD annually

USA, TX, AUSTIN - 136,000.00 - 184,000.00 USD annually

USA, TX, Austin - 136,000.00 - 184,000.00 USD annually

USA, TX, Bee Cave - 136,000.00 - 184,000.00 USD annually

Company

Annapurna Labs (U.S.) Inc.

Job ID: A3152739