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Machine Learning Acceleration Jobs (NOW HIRING)

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Machine Learning Acceleration information

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How much do machine learning acceleration jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for machine learning acceleration in the United States is $21.33, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $22.84 per hour, depending on experience, location, and employer.

What is the difference between Machine Learning Acceleration vs Data Scientist?

AspectMachine Learning AccelerationData Scientist
Required CredentialsKnowledge of hardware, programming, and ML frameworksDegree in CS, statistics, or related field; data analysis skills
Work EnvironmentTech companies, research labs, hardware firmsBusiness, tech, finance, healthcare sectors
Industry UsageOptimizing ML model training and inferenceAnalyzing data, building models, deriving insights

Machine Learning Acceleration focuses on enhancing the speed and efficiency of ML model training and deployment through hardware and software optimization. Data Scientists analyze data, develop models, and interpret results. While both roles involve machine learning, acceleration specialists optimize performance, whereas Data Scientists focus on data analysis and model development.

Infographic showing various Machine Learning Acceleration job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 47% As Needed, 37% Full Time, 6% Part Time, 1% Contract, and 8% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $44,363 per year, or $21.3 per hour.
ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team - Annapurna Labs

Amazon

Cupertino, CA • On-site

Full-time

Re-posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries.
Custom SoCs (System on Chip) live at the heart of AWS Machine Learning servers. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including AWS Inferentia, our custom designed machine learning inference datacenter server

Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies. We're looking for an ASIC Design Eengineer to help us trail-blaze new technologies and architectures, while ensuring high design quality and making the right trade-offs.
Key job responsibilities
As an ASIC Design Engineer, you will:
Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets
Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements
Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints
Execute lint and clock domain crossing quality checks to ensure design integrity
Collaborate closely with cross-functional teams, including architects, fellow designers, verification specialists, pre- and post-silicon validation teams, and synthesis, timing, and back-end experts
The ideal candidate will have a strong background in ASIC design, proficiency in SystemVerilog, and excellent analytical and problem-solving skills. Experience with high-performance and power-efficient designs is highly desirable.
You will thrive in this role if you:
- Have a "Learn and Be Curious" mindset
- Have familiarity with key components such as interconnects, DMAs, Memory sub-systems, accelerator engines, debug and system level architectures
- Have a strong drive to innovate, explore new solutions, and contribute to the company's intellectual property through patents


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US