Sr. Hardware Engineer - ML Acceleration, Annapurna Labs
Listed on 2025-12-17
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Engineering
Systems Engineer, Hardware Engineer
Sr. Hardware Engineer – ML Acceleration, Annapurna Labs
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.
Annapurna Labs, an organization within AWS UC, designs silicon and software that accelerate 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 tackle technical challenges never seen before and deliver results that help customers change the world.
We are seeking a Hardware Design Engineer with a 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 opportunity to own the design and execution of new building‑block components and server products, creating customized platforms that fit within AWS data‑center 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 lead new server deployments to deliver a world‑class customer experience. This fast‑paced, intellectually challenging position will put you in touch with thought leaders across multiple technology areas. You’ll set high standards for yourself and others and continuously seek ways to improve performance, quality, and cost.
Key Job ResponsibilitiesYou will work closely with internal design teams throughout AWS and with design partner teams worldwide to produce world‑class server and rack products. You will own the integration of multiple bespoke components developed by internal Annapurna Labs teams and the integration of the rack into AWS’s infrastructure.
Basic Qualifications- Bachelor’s degree in Electrical Engineering or a related field
- Experience developing functional specifications, design verification plans, and functional test procedures
- 5+ years’ relevant experience with complex accelerator, storage or network server designs
- 3+ years of development experience in hardware/firmware and a proven ability to debug PCIe, memory or storage subsystems
- Experience working with interdisciplinary teams to execute product design from concept to production spanning internal hardware, firmware and software teams as well as external design partners
- Master’s degree or Ph.D. in Electrical Engineering or a related field
- Experience in RTL coding and debug, as well as performance, power, area analysis and tradeoffs
- 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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $257,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job‑related knowledge, skills, and experience. Amazon is a total compensation company.
Depending on the position offered, equity, sign‑on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits. For more information, please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
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