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Machine Learning Digital Design Engineer

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Sunnyvale, CA$146k–$209kPosted Aug 7, 2026
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Machine Learning Digital Design Engineer

Meta Sunnyvale, CA

Machine Learning Digital Design Engineer

Meta Sunnyvale, CA 2 days ago Be among the first 25 applicants

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Meta provided pay range

This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$146,000.00/yr - $209,000.00/yr Meta is seeking highly skilled Design Engineers to join our team. In this role, you will contribute to the development of advanced technology solutions, including machine learning and network acceleration. You will collaborate with researchers and engineers to design, implement, and optimize low-power hardware accelerators, state-of-the-art SoCs, and custom silicon solutions that enable the next generation of innovative devices and hardware.

Machine Learning Digital Design Engineer Responsibilities:

  • Contribute to ASIC digital µArchitecture and design
  • Assist performance/power analysis of the design and help meet power and performance targets
  • Work with architects to map algorithms onto the hardware and specify requirements for IP and subsystems integration
  • Collaborate with adjacent teams such as Verification, Physical Design, and Design-for-Test
  • Develop micro-architecture, RTL coding, and design verification for complex IPs
  • Drive IP/sub-system micro-architecture and RTL design in collaboration with DV and PD leads

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience as a Hardware Design Engineer for production silicon shipped in volume
  • Experience in digital design µArchitecture, RTL coding, and micro-architecture development
  • Experience communicating technical design decisions and trade-offs to cross-functional partners such as verification, physical design, and architecture teams

Preferred Qualifications:

  • Experience in ML accelerator subsystems and top level design
  • Experience in SoC integration and ASIC architecture
  • Knowledge of microcontrollers, DSP, CDC and power sequence
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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.

$146,000/year to $209,000/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.

  • Seniority level

    Not Applicable

  • Employment type

    Full-time

  • Job function

    Engineering and Information Technology

  • Industries

    Technology, Information and Internet

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