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Summary:

As a Networking ASIC Engineer on the Infrastructure Silicon team at Meta, you will play a key role in shaping the networking architecture for leading-edge AI training and inference accelerators. You will work closely with other architecture engineers to define networking architecture specifications and then develop high-fidelity C++ models—including QEMU, NIC, RoCE, and UAL (Ultra Accelerator Link) models—to enable early software development, architecture exploration, and performance analysis.You will collaborate with cross-functional teams working on data center networking architecture, network system design, micro-architecture, RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation, and Program Management to deliver first-pass functional silicon.

Required Skills:

ASIC Engineer, Networking Architecture and Modeling Responsibilities:

1. Collaborate with architecture engineers to define specifications for one or more subsystems of an integrated or discrete NIC ASIC

2. Develop and maintain C++ models of networking subsystems—including QEMU, NIC, RoCE, and UAL models—for architecture exploration, performance analysis, and software development

3. Provide technical support in functional model development to enable networking firmware creation

4. Support networking model development, performance analysis, and correlation with design implementation

5. Work with software and firmware teams to ensure C++ models are aligned with system requirements and enable early software bring-up

6. Provide expected key performance indicators for performance analysis of the subsystems

Minimum Qualifications:

Minimum Qualifications:

7. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

8. 6+ years of experience working in networking ASIC development targeted for enterprise, data-center, or hyperscaler use cases

9. Hands-on experience developing and maintaining C++ models for NIC, RoCE, UAL or similar networking architectures

10. Experience with QEMU or similar simulation frameworks for hardware modeling

Preferred Qualifications:

Preferred Qualifications:

11. Experience working with large clusters of Ethernet or RoCEv2 or Infiniband or NVlink fabrics

12. Knowledge of ASIC development on advanced process nodes using chiplet-based solutions

13. Experience and knowledge of data center networking solutions used in large-scale clusters, including shallow buffered switches, TOR switches, routers, GPU and CPU servers/acceleration devices

14. Experience in using performance models, performance analysis, and performance correlation

15. Experience in developing PCIe-based NICs, Front-end and Back-end NICs

16. Experience with QEMU NIC modeling, UAL modeling, and RoCE modeling using C++

17. Experience integrating C++ models with system simulation environments (e.g., QEMU, SystemC, or custom frameworks)

Public Compensation:

$142,000/year to $203,000/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 [email protected].