Digital Design Engineer

3 Months ago • 5 Years + • Research & Development • $142,000 PA - $203,000 PA

Job Summary

Job Description

Meta's Reality Labs (RL) is focused 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. The 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. We are growing our Machine Learning ASIC Design and µArchitecture team within RL and are seeking engineers at all levels who will work with a world-class group of researchers and engineers using your digital design skills to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs. As a Digital Design Engineer, you will contribute to ASIC digital µArchitecture and design for low-power machine learning hardware accelerator, assist performance/power analysis of the design and help meet the power and performance targets, work with architects to map Machine learning algorithms on the hardware, support hand-off and integration of blocks into larger SOC environments, and work across disciplines, brainstorm big ideas, and build new methodologies.
Must have:
  • 5+ years of experience as a Hardware Design Engineer for production silicon shipped in volume
  • Experience in digital design µArchitecture, RTL coding
  • Experience in Machine Learning IPs Silicon development
  • Experience with at least 1 procedural programming language (C, C++, Python etc.)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Good to have:
  • Experience in SoC integration and ASIC architecture
  • Knowledge of Physical Design and Low power implementation
  • Experience with Machine learning models, algorithms or accelerator architecture

Job Details

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. We are growing our Machine Learning ASIC Design and µArchitecture team within RL and are seeking engineers at all levels who will work with a world-class group of researchers and engineers using your digital design skills to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs.
Digital Design Engineer Responsibilities
  • Contribute to ASIC digital µArchitecture and design for low-power machine learning hardware accelerator
  • Assist performance/power analysis of the design and help meet the power and performance targets
  • Work with architects to map Machine learning algorithms on the hardware
  • Support hand-off and integration of blocks into larger SOC environments.
  • Work across disciplines, brainstorm big ideas, build new methodologies
Minimum Qualifications
  • 5+ years of experience as a Hardware Design Engineer for production silicon shipped in volume
  • Experience in digital design µArchitecture, RTL coding
  • Experience in Machine Learning IPs Silicon development
  • Experience with at least 1 procedural programming language (C, C++, Python etc.)
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications
  • Experience in SoC integration and ASIC architecture
  • Knowledge of Physical Design and Low power implementation
  • Experience with Machine learning models, algorithms or accelerator architecture
For those who live in or expect to work from California if hired for this position, please click for additional information.
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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.

$142,000/year to $203,000/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 at Meta.


Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to .

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About The Company

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.


We want to give people the power to build community and bring the world closer together. To do that, we ask that you help create a safe and respectful online space. These community values encourage constructive conversations on this page:


• Start with an open mind. Whether you agree or disagree, engage with empathy.

• Comments violating our Community Standards will be removed or hidden. So please treat everybody with respect.

• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.

• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.

• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).


For a full listing of our jobs, visit https://www.metacareers.com

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