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Volunteering Machine Learning Hardware Jobs (NOW HIRING)

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

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

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/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: • ...

IMC

Hardware Machine Learning Engineer

Chicago, IL

$127.20K - $167.90K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...

IMC

Hardware Machine Learning Engineer

Chicago, IL · On-site

$200K - $225K/yr

We are deploying machine learning directly onto custom hardware - and we want you to help drive it from the ground up. This is an initiative where you'll have the rare opportunity to architect ...

Brahma Consulting Group

Head of Hardware

Palo Alto, CA

$145.20K - $191.60K/yr

We are seeking an experienced Head of Hardware to lead our hardware engineering efforts at an innovative AI startup revolutionizing chip design through machine learning. This pivotal leadership role ...

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Volunteering Machine Learning Hardware information

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How much do volunteering machine learning hardware jobs pay per hour?

As of May 31, 2026, the average hourly pay for volunteering machine learning hardware in the United States is $27.63, according to ZipRecruiter salary data. Most workers in this role earn between $20.19 and $33.65 per hour, depending on experience, location, and employer.

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

AspectVolunteering Machine Learning HardwareData Scientist
Required CredentialsTechnical knowledge of hardware, basic programming, volunteer experienceDegree in data science, statistics, or related field; programming skills
Work EnvironmentNon-profit projects, labs, or community settingsCorporate, research institutions, or tech companies
Industry UsageSupporting ML hardware development, open-source projectsAnalyzing data, building models, deriving insights
Search & Comparison IntentUnderstanding hardware volunteering roles vs data science roles

Volunteering Machine Learning Hardware focuses on supporting hardware infrastructure and open-source projects, often in volunteer or community settings. Data Scientists analyze data and develop models for business or research purposes. While both roles involve machine learning, they differ in focus, credentials, and work environment.

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What cities are hiring for Volunteering Machine Learning Hardware jobs? Cities with the most Volunteering Machine Learning Hardware job openings:
What states have the most Volunteering Machine Learning Hardware jobs? States with the most job openings for Volunteering Machine Learning Hardware jobs include:
What job categories do people searching Volunteering Machine Learning Hardware jobs look for? The top searched job categories for Volunteering Machine Learning Hardware jobs are:
Volunteering Machine Learning Hardware jobs near you
Infographic showing various Volunteering Machine Learning Hardware job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 8% Temporary, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,471 per year, or $27.6 per hour.
Machine Learning Engineer

Machine Learning Engineer

Qualcomm

San Diego, CA • On-site

Full-time

Posted 23 days ago

Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation to create a smarter, connected future. As a Machine Learning Engineer, you will develop and implement machine learning techniques and collaborate with cross-functional teams to enhance mobile, edge, auto, and IoT products.
Responsibilities:
• Applies Machine Learning knowledge to assist in extending training or runtime frameworks or model efficiency software tools with new features and optimizations.
• Assists in the modeling, architecture, and development of machine learning hardware (co-designed with machine learning software) for inference or training solutions.
• Assists in the development of optimized software to enable AI models deployed on hardware (e.g., machine learning kernels, compiler tools, or model efficiency tools, etc.) to allow specific hardware features; collaborates with team members for joint design and development.
• Assists with the development and application of machine learning techniques into products and/or AI solutions to enable customers to do the same.
• Develops, adapts, or prototypes machine learning algorithms, models, or frameworks in alignment with product roadmap.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
Preferred:
• Master's degree in Computer Science, Engineering, Information Systems, or related field.
• 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
• 1+ year of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
• 1+ year of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
• 1+ year of experience using statistics and probability (e.g., conditional probability, Bayes rule).
• 1+ year of experience working in a large matrixed organization.
• 6+ months of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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