ZipRecruiter

Log In

1

Volunteering Machine Learning Hardware Jobs (NOW HIRING)

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll ...

Apple

Machine Learning Compiler Engineer

Sunnyvale, CA · On-site

If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll ...

Apple

Camera Machine Learning Engineer

Bodega Bay, CA

$147.40K - $272.10K/yr

Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for ... Description As a Machine Learning Engineer in the Camera Hardware Engineering group you will be ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

We help mission-critical hardware teams leverage purpose-built AI to program and certify their systems faster. Role Description: The Machine Learning Engineer will be responsible for designing and ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · Remote

Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

Jane Street

Machine Learning Engineer

New York, NY · On-site

A passion for keeping up with the state of the art, whether that means diving into academic papers, experimenting with the latest hardware, or reading the source of a new machine learning package * A ...

Aquabyte

Machine Learning Engineer

San Francisco, CA · On-site

$130K - $170K/yr

Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

next page

Showing results 1-20

People also search for

All JobsVolunteering Machine Learning Hardware Jobs

Volunteering Machine Learning Hardware information

See salary details

$11

$27

$51

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.

More about Volunteering Machine Learning Hardware jobs
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.

Hardware Validation Engineer, ML Products, University Graduate

Google

Sunnyvale, CA • On-site

$144.90K - $191.30K/yr

Full-time

Posted 3 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

30th of 184 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
  • Experience working in board level design and testing.
  • Experience with electrical engineering and signal integrity.

Preferred qualifications:
  • Master's degree in Electrical Engineering, Computer Engineering, Physics, or a related field.
  • Experience working in lab environments and familiarity with lab equipment like scopes, BERTs, and analyzers.
  • Experience working in board level design and testing, electrical engineering, and signal integrity.
  • Knowledge of low-speed interfaces like SPI and I2C, and high-speed Serializer/Deserializer (SerDes) interfaces like ethernet and PCIe.
  • Understanding of signal integrity (SI) for high speed interfaces, and best practices to collect accurate SI data.
  • Ability to use scripting and automation to execute test algorithms and analyze results, supported by excellent communication skills.

About the job
As a Hardware Validation Engineer, you will support end-to-end testing for machine learning hardware deployed in Google's data centers.
Google's custom-designed machines make up one of the largest computing infrastructures in the world. The Hardware Qualification team ensures that this equipment is reliable. In the Research and Development (R&D) lab, you plan for and execute the most effective way to test at scale. Working closely with design engineers, you give input on designs to improve our hardware until you are sure it meets Google's standards of quality, reliability, and security.
The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $108,000-$153,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
  • Support creation of test plans and coordination of resources across test environments.
  • Interface more executive engineers to help perform electrical, functional, performance, and reliability testing for Google's machine learning trays and solutions. Analyze results to ensure that they meet Google's requirements.
  • Report bugs and propose corrective actions with cross-functional teams.
  • Use scopes, protocol analyzers, BERTs, and other lab equipment to collect high precision data.
  • Organize results, communicate findings, and incorporate learnings in alignment with the standards set in the qualification process.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

What Google employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply