**Summary:** Meta Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Virtual Reality (VR) devices and platforms. The compute performance and power efficiency requirements of these devices 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.We are seeking a modeling Engineer to develop high-level models of complex SoC hardware. The virtual platforms combine models of custom hardware accelerators for vision, 2D and 3D graphics, machine learning and more, within a multi-core, multi-level memory hierarchy SoC architecture, and serve as the primary simulation vehicle for system software and firmware. The candidate should be proficient in hardware simulation using C++, and understand the firmware development processes. **Required Skills:** Virtual Platform Hardware Modeling Engineer Responsibilities: 1. Design and develop SystemC TLM models to accurately represent the SoC architecture integrating emulated processors, DSPs, Network-on-Chip, DMA and memory controllers, etc 2. Integrate first-party and vendor models into the Virtual Platform, develop automated workflows to ensure register-level accuracy and complete connectivity at the SoC level, minimizing manual intervention and enabling continuous integration 3. Collaborate with silicon architects, digital designers and verification engineers to design and develop high-fidelity, fast C++ models for first-party IP 4. Coordinate virtual platforms with hardware development programs, validating multiple SoCs and architectural changes with system software and firmware engineering, enabling end-to-end silicon validation test frameworks 5. Enhance the virtual platforms to enable SoC and system architecture exploration by instrumenting models for power and performance metrics, allowing for data-driven design decisions and trade-off analysis to optimize system performance and power consumption **Minimum Qualifications:** Minimum Qualifications: 6. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta 7. B.S. degree in Computer Science or Electrical Engineering or equivalent experience 8. 2+ years of experience in hardware model simulation, virtual platform, performance modeling of complex SoCs or high-fidelity hardware accelerators 9. High proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation 10. General familiarity with SoC components: embedded processors such as ARM A/M series, Risc-V, DSP, DMA, Cache Hierarchy, DRAM, Network-on-chip, AMBA protocols (extensive experience in at least one of these areas) 11. Experience with modern buildframeworks and continuous integration systems, such as CMake, Bazel and CI frameworks such as Jenkins, GitLab CI/CD 12. Experience with debugging and profiling tools, such as GDB or other debuggers **Preferred Qualifications:** Preferred Qualifications: 13. Experience with the SystemC/TLM library 14. Experience with virtual platform development tools and frameworks, such as Synopsys Virtualizer, Cadence Virtual Platform, Imperas OVP, or ARM Fast Models 15. Familiarity with processor/DSP architectures, such as ARM, RISC-V, and XTensa 16. Familiarity with NoC, MMU, address translations, and cache modeling 17. Familiarity with the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc 18. Proficiency in Python to automate design flows, creation of collateral data 19. Experience with high level C or C++ synthesis (HLS) 20. Working knowledge of Verilog **Public Compensation:** $114,000/year to $166,000/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. 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