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Volunteering Machine Learning Hardware Jobs in California

Brahma Consulting Group

Head of Hardware

Palo Alto, CA

$145K - $191K/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 ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Work closely with founders, mechanical engineers, hardware engineers, and early customers to ...

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: • ...

Tacit

Machine Learning Scientist

San Francisco, CA · On-site

$180K - $270K/yr

About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ... Iterate rapidly on model prototypes for real-time inference on custom hardware. * Create and ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions ... The VELO3D award-winning solution includes an integrated offering of hardware and software:

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Volunteering Machine Learning Hardware information

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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Volunteering Machine Learning Hardware jobs near you

Machine Learning Hardware Architect - Silicon

Meta

Sunnyvale, CA

$212K/yr

Full-time

Re-posted 16 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

136th of 244 rated software companies

Job description

Meta’s mission is to give people the power to build community and bring the world closer together. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. In this position you will work with Machine Learning Hardware Architects, Digital Designers, and Software engineers to develop custom Machine Learning Hardware accelerators for delivery into multiple SoCs. You will collaborate with a world-class group of researchers and architects to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.
Machine Learning Hardware Architect - Silicon Responsibilities:
  • Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon
  • Lead designs to surpass state of the art for metrics such as compute, bandwidth, and power consumption
  • Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
  • Travel both domestically and internationally

Minimum Qualifications:
  • Experience in Machine Learning IPs Silicon development
  • Experience in digital design µArchitecture, RTL coding
  • Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area

Preferred Qualifications:
  • Master/PhD degree in EE/CS or equivalent areas
  • Knowledge of Physical Design and Low power implementation
  • Experience with Firmware, DSP coding and optimization
  • Collaborate and/or lead in a team environment
  • Experience with SoC Architecture and subsystem Integration
  • Knowledge of industry trends and disruptive technologies
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$212,000/year to $294,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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