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Machine Learning Hardware Engineer Jobs (NOW HIRING)

Hardware Engineer

San Bruno, CA · On-site

$147K - $194K/yr

As a Hardware Engineer, you will join femtoAI's hardware team to help design and build our novel ... Interest in or exposure to machine learning accelerators Benefits * 401(k) * Medical insurance

... Learning Engineer to develop and deploy lightweight machine learning models for edge AI ... The role involves collaborating with hardware and software teams, optimizing models for embedded ...

... machine learning, software, hardware, product, and data annotation teams to bring reliable ... As an early member of our engineering team, you'll work across the machine learning lifecycle ...

... machine learning, software, hardware, product, and data annotation teams to bring reliable ... As an early member of our engineering team, you'll work across the machine learning lifecycle ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and ... Optimize algorithms for low-latency inference on edge devices (spacecraft hardware). * Collaborate ...

Hardware Engineer/ Senior Hardware Engineer

Addison, TX · On-site

$107K - $142K/yr

Hardware Engineer/ Sr. Hardware Engineer Location: 3728 Arapaho Rd Addison, TX 75001 Engagement ... machine learning technology. Our flagship product, the AIIR Intelligent HVAC system, delivers ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking ... Benchmark and profile models across diverse workloads and hardware environments Model Integration ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking ... Benchmark and profile models across diverse workloads and hardware environments Model Integration ...

Senior Engineer - Machine Learning

San Diego, CA · On-site

$110K - $152K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: We are seeking ... Benchmark and profile models across diverse workloads and hardware environments Model Integration ...

Showing results 21-40

Machine Learning Hardware Engineer information

See salary details

$51K

$146.2K

$196.5K

How much do machine learning hardware engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for machine learning hardware engineer in the United States is $146,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,500.00 and $163,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Hardware Engineer vs Data Scientist?

AspectMachine Learning Hardware EngineerData Scientist
Required CredentialsBachelor's or Master's in Electrical Engineering, Computer Engineering, or related fields; knowledge of hardware design and ML hardware accelerationBachelor's or Master's in Data Science, Statistics, Computer Science; programming skills in Python, R, and data analysis tools
Work EnvironmentHardware labs, R&D centers, manufacturing facilitiesOffice settings, data analysis labs, cloud platforms
Employer & Industry UsageTech companies, semiconductor firms, AI hardware startupsTech firms, finance, healthcare, research institutions

Machine Learning Hardware Engineers focus on designing and optimizing hardware components for ML applications, while Data Scientists analyze data to develop models. Both roles require technical expertise but differ in their focus on hardware versus data analysis.

What cities are hiring for Machine Learning Hardware Engineer jobs?

Cities with the most Machine Learning Hardware Engineer job openings:

What are popular job titles related to Machine Learning Hardware Engineer jobs?

For Machine Learning Hardware Engineer jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Hardware Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $146,230 per year, or $70.3 per hour.

Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

Austin, TX • On-site

Amazon
IT Services • 10K+ employees

Full-time

Re-posted 11 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,182 frontline employees who took The Breakroom Quiz


Job description

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.
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.
Key job responsibilities
As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing.

Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of AWS users.
About the team
In 2015, Annapurna Labs was acquired by Amazon Web Services (AWS). Since then, we have accelerated its innovation and developed a number of products that benefit cloud customers, including AWS Nitro technology, Inferentia custom Machine Learning chips, and AWS Graviton2 processors.
Annapurna Labs is a silicon/system and software organization that is delivering all the chips used by AWS customers

Today this includes: Graviton, driving innovation for general purpose compute; Nitro, driving networking and storage scale, security and Hypervisor offload, and Machine Learning (ML) Trainium and Inferentia that are enabling customers to train and run GenAI applications permanently while keeping costs under control.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US