Virtual Platforms & SoC Modeling Engineer

Meta

Redmond, WA

JOB DETAILS
SKILLS
ARM (Advanced RISC Machine), Architectural Services, Artificial Intelligence (AI), C Programming Language, C++ Programming Language, CMake, Cadence, Computer Engineering, Computer Firmware, Computer Science, Concurrency, Continuous Deployment/Delivery, Continuous Integration, DRAM, Debugging Tools, Design Flows, Design Verification, Electronic Design Automation, Embedded Processors, Emerging Technology, GDB (Gnu Debugger), Graphic Design, Hardware Design, Hardware Development, Hardware Simulation, Hardware Virtualization, IP (Internet Protocol), Instrumentation, Intrusion Prevention Systems, Jenkins, Juniper Networks M-Series, Memory Hardware, Network Operations Center, Performance Metrics, Performance Modeling, Programming Tools, Prototyping, Python Programming/Scripting Language, RISC Processors, Research Laboratory, Risk Analysis, Simulation, Software Engineering, System Architecture, System-on-a-Chip (SoC), Team Player, Verification Engineering, Virtualization, Wearables
LOCATION
Redmond, WA
POSTED
1 day ago
**Summary:** Meta's Silicon Engineers are at the forefront of innovation, driving the design and development of silicon that power the future of human connection. Across Infrastructure, Reality Labs, and Research, our teams tackle complex challenges in wearables, data centers, and more. We bring together cross-disciplinary minds to invent, prototype, and deliver products and platforms that connect billions of people worldwide.We're seeking a modeling engineer to develop silicon models, in partnership with architecture, firmware, emulation and other domain experts, which serve as foundational tools for architectural exploration for our next-generation custom silicon solutions. **Required Skills:** Virtual Platforms & SoC Modeling Engineer Responsibilities: 1. Design and develop high-level models of complex SoC hardware using SystemC TLM, and other simulation frameworks 2. Collaborate with silicon architects, digital designers, and verification engineers to design and develop high-fidelity models for first-party and third-party IPs 3. Work with architecture teams to understand SoC and IP architecture, enabling Software/Hardware co-design using pre-silicon platforms 4. Coordinate virtual platforms with hardware development programs, validating multiple SoCs and architectural changes with system software and firmware engineering **Minimum Qualifications:** Minimum Qualifications: 5. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6. 6+ years of experience in hardware model simulation, virtual platform, performance modeling of complex SoCs, or high-fidelity hardware accelerators 7. Proficiency in modern C++ and/or C programming languages 8. General familiarity with SoC components, including embedded processors, DSP, DMA, Cache Hierarchy, DRAM, Network-on-chip, AMBA protocols 9. Experience with SystemC, TLM, or other simulation frameworks **Preferred Qualifications:** Preferred Qualifications: 10. Proficiency in modern C++ in the domains of chip-design, electronic design automation or simulation 11. Experience in at least one of these areas - embedded processors such as ARM A/M series, RISC-V, DSP, DMA, Cache Hierarchy, DRAM, Network-on-chip, AMBA protocols 12. Experience with modern build frameworks and continuous integration systems, such as CMake, Bazel and CI frameworks such as Jenkins, GitLab CI/CD 13. Experience with debugging and profiling tools, such as GDB or other debuggers 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 the standard C++ concurrency support library: threads, atomic operations, memory ordering, etc 16. Familiarity with power and performance metrics instrumentation in pre-silicon platforms 17. Proficiency in Python to automate design flows and generate necessary collateral data 18. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 19. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 20. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies **Public Compensation:** $146,000/year to $209,000/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.

About the Company

M

Meta

INDUSTRY
Other/Not Classified