Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
- Pay
- $213,000 – $287,500 per year
- Location
- Cupertino, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Education
- Bachelor's degree
- Listed
- 20 days ago
Skills & highlights for this role
- PCIe Gen4
- SerDes signal integrity
- transmission line theory
- high-speed PCB design
- oscilloscope and VNA lab validation
Also useful
- server hardware design
- x86 or ARM server architecture
- scripting test automation
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Parental leave
About the role
Annapurna Labs (our organization within Amazon) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.
We are seeking a Hardware Design Engineer with role in the definition, design and validation of AWS next generation ML Chips, Cards and server integration.
As a senior member of our hardware team, you will have the outstanding and meaningful opportunity to participate in the design and execution of all PCIe and Serdes topics, with the goal of creating and customized platforms that fit within AWS datacenter's world leading technology. As a member of the Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers.
You'll provide leadership in the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas.
You'll have high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.
Basic Qualifications
- Bachelor's degree in Electrical Engineering or a related field - Deep knowledge with PCIe interface Gen4 or above, both Electrical and Functional at the chip level and at the PCB level. - Deep understanding of Transmission line theory and Electromagnetics and its application in SerDes, Single-ended signal and parallel bus interfaces. * Work with ODMs, IP Silicon vendors, component suppliers and internal design teams on cross-boundary triaging, debugging, and resolving issues. - Hands-on lab equipment skills (VNA, Realtime scope, Sampling scope and its accessories) for electrical validation and characterization. - Scripting skills to automate tests, logs parsing and data collection. - Strong technical communication skills (verbal and written) to interface with cross-functional technical leads within and/or outside of the organization.
Preferred Qualifications
- Experience with Server HW designs, Design validation, Production tests and signal integrity of high speed interfaces. - Knowledge of the product development cycle from concept to mass production. - Strong analytical capabilities - The ability to work independently and drive tasks from start to completion - Ability to work cross functionally with SW team to define and implement diagnostics for hardware validation at component, interface, and system level - Experience with server (x86 / ARM) design or architecture 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 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. USA, CA, Cupertino - 213,000.00 - 287,500.00 USD annually USA, TX, Austin - 185,200.00 - 250,000.00 USD annually
From Annapurna Labs (U.S.) Inc.'s careers page, first listed on Rolev.ai on October 20, 2026. Rolev.ai is not the employer.
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Common questions
What is the salary for the Sr. Hardware Engineer - ML Acceleration, Annapurna Labs role at Annapurna Labs (U.S.) Inc.?
The Sr. Hardware Engineer - ML Acceleration, Annapurna Labs posting at Annapurna Labs (U.S.) Inc. states compensation of $213,000 – $287,500 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Annapurna Labs (U.S.) Inc.'s official career site.
Where is the Sr. Hardware Engineer - ML Acceleration, Annapurna Labs job at Annapurna Labs (U.S.) Inc. located?
This Sr. Hardware Engineer - ML Acceleration, Annapurna Labs position at Annapurna Labs (U.S.) Inc. is located in Cupertino, CA (On-site). Always check Annapurna Labs (U.S.) Inc.'s application page for specific state eligibility or relocation policies.
What qualifications are required for Sr. Hardware Engineer - ML Acceleration, Annapurna Labs at Annapurna Labs (U.S.) Inc.?
For the Sr. Hardware Engineer - ML Acceleration, Annapurna Labs role, Annapurna Labs (U.S.) Inc. highlights a bachelor's degree; experience with PCIe Gen4, SerDes signal integrity, transmission line theory, high-speed PCB design, oscilloscope and VNA lab validation. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Sr. Hardware Engineer - ML Acceleration, Annapurna Labs position at Annapurna Labs (U.S.) Inc.?
This listing links directly to Annapurna Labs (U.S.) Inc.'s application page. You can apply directly on Annapurna Labs (U.S.) Inc.'s site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.