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

Annapurna Labs

San Diego (CA)

Vor Ort

USD 154.000 - 215.000

Vollzeit

vor 30 Stunden
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Zusammenfassung

Annapurna Labs (U.S.) Inc. in San Diego seeks a Software Development Engineer focused on pre-silicon co-development for our machine learning chips.

You will collaborate with architecture, design and emulation teams to craft new silicon functionalities and verify end-to-end system performance. You will write bare-metal software to validate the SoC and its subsystems, leveraging an embedded software/system development background or chip design experience to contribute to AWS/Annapurna Labs

Qualifikationen

  • 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.
  • Master's degree in Electrical or Communications Engineering or a related field is preferred.
  • Experience with ARM and various DSP ISAs and RF/wireless standards is a plus.

Aufgaben

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

Kenntnisse

Embedded software
System development
Chip design
Debugging
Python scripting

Ausbildung

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

Tools

ARM
DSP ISAs
Formal verification approaches

Jobbeschreibung

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

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, its 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

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
  • 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 - 176,600.00 - 247,300.00 USD annually

USA, CA, San Diego - 153,600.00 - 215,000.00 USD annually

USA, TX, Austin - 153,600.00 - 215,000.00 USD annually

Company

Annapurna Labs (U.S.) Inc.

Job ID: A3152739

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