ZipRecruiter

Log In

1

Machine Learning Hardware Jobs (NOW HIRING)

Qualcomm

Sr. Staff, Engineer

San Diego, CA · On-site

$110K - $152K/yr

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

Qualcomm

Staff Engineer

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

Qualcomm

M/L Compiler Engineer

San Diego, CA · On-site

Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software. Minimum Qualifications: • ...

New

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera ...

Constellation Space

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

Optimize algorithms for low-latency inference on edge devices (spacecraft hardware). * Collaborate ... Proven experience deploying machine learning models into production. * Strong software engineering ...

Qualcomm

Staff Engineer

San Diego, CA · On-site

... machine learning hardware (co-designed with machine learning software) for inference or training solutions. • Develops optimized software to enable AI models deployed on hardware (e.g., machine ...

next page

Showing results 1-20

All JobsMachine Learning Hardware Jobs

Machine Learning Hardware information

See salary details

$12

$24

$48

How much do machine learning hardware jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for machine learning hardware in the United States is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.88 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning hardware engineers with extensive experience, specialized skills in hardware design, and advanced certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or at top technology companies. These roles often require expertise in FPGA, ASIC design, or embedded systems, along with leadership responsibilities and a strong track record of innovation.

Which 3 jobs will survive AI?

For a Machine Learning Hardware professional, roles such as hardware design engineers, embedded systems engineers, and system architects are likely to persist as they require specialized knowledge of hardware development, integration, and optimization that AI cannot fully automate. These jobs involve complex problem-solving, hands-on hardware work, and understanding of physical components, making them less susceptible to automation by AI. Continuous learning of hardware tools and certifications can help maintain relevance in this evolving field.

Does machine learning involve hardware?

Machine learning hardware refers to the physical components like GPUs, TPUs, and specialized accelerators used to train and run machine learning models efficiently. Machine learning professionals often work with these hardware tools to optimize performance and reduce training time, making hardware an integral part of the field.

What is a Machine Learning Hardware job?

A Machine Learning Hardware job involves designing, optimizing, and developing specialized hardware to accelerate machine learning workloads. Professionals in this field work on hardware architectures like GPUs, TPUs, FPGAs, and custom accelerators to improve efficiency, performance, and power consumption. They collaborate with software engineers and data scientists to optimize hardware-software co-design. This role requires expertise in computer architecture, parallel computing, and low-level programming.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These roles usually involve leadership responsibilities, extensive expertise, and may include stock options or bonuses as part of compensation.

What are the typical day-to-day responsibilities for a Machine Learning Hardware engineer?

As a Machine Learning Hardware engineer, your daily tasks often include collaborating with data scientists and software engineers to understand computational requirements, designing and prototyping hardware accelerators, and optimizing existing architectures for improved performance and efficiency. You might work with simulation tools to model new designs, validate hardware functionality, and troubleshoot issues during integration. The role typically involves both independent technical work and teamwork across hardware and AI/ML departments. This position requires keeping up to date with emerging technologies to ensure your solutions remain cutting-edge and competitive in the fast-evolving landscape of artificial intelligence.

What are the key skills and qualifications needed to thrive in the Machine Learning Hardware position, and why are they important?

To thrive in Machine Learning Hardware, you need a solid background in computer engineering, digital design, and machine learning principles, often supported by a degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware description languages (such as VHDL or Verilog), simulation tools, FPGA/ASIC development platforms, and possibly certifications in hardware design or ML accelerators is valuable. Collaboration, problem-solving, and the ability to communicate complex technical ideas effectively are essential soft skills. These skills enable you to design and optimize specialized hardware solutions that accelerate machine learning workloads and foster interdepartmental innovation.

More about Machine Learning Hardware jobs
What cities are hiring for Machine Learning Hardware jobs? Cities with the most Machine Learning Hardware job openings:
What are the most commonly searched types of Machine Learning Hardware jobs? The most popular types of Machine Learning Hardware jobs are:
What job categories do people searching Machine Learning Hardware jobs look for? The top searched job categories for Machine Learning Hardware jobs are:
Machine Learning Hardware jobs near you
Infographic showing various Machine Learning Hardware job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $51,154 per year, or $24.6 per hour.
Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

Amazon

Austin, TX • On-site

$103K - $136K/yr

Full-time

Re-posted 29 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,956 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

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 and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply