Machine Learning Digital Design Engineer

**Summary:** 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. **Required Skills:** Machine Learning Digital Design Engineer Responsibilities: 1. Contribute to ASIC digital µArchitecture and design 2. Assist performance/power analysis of the design and help meet power and performance targets 3. Work with architects to map algorithms onto the hardware and specify requirements for IP and subsystems integration 4. Collaborate with adjacent teams such as Verification, Physical Design, and Design-for-Test 5. Develop micro-architecture, RTL coding, and design verification for complex IPs 6. Drive IP/sub-system micro-architecture and RTL design in collaboration with DV and PD leads **Minimum Qualifications:** Minimum Qualifications: 7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8. 8+ years of experience as a Hardware Design Engineer for production silicon shipped in volume 9. Experience in digital design µArchitecture, RTL coding, and micro-architecture development 10. Experience communicating technical design decisions and trade-offs to cross-functional partners such as verification, physical design, and architecture teams **Preferred Qualifications:** Preferred Qualifications: 11. Experience in ML accelerator subsystems and top level design 12. Experience in SoC integration and ASIC architecture 13. Knowledge of microcontrollers, DSP, CDC and power sequence 14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 15. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $178,000/year to $250,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.