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Silicon Performance Architect

**Summary:**

Reality Labs (RL) focuses on delivering Meta's vision through AI-first wearables such as AI Smart Glasses and Augmented Reality (AR) Glasses. The compute performance and power efficiency requirements of wearables requires custom silicon. The Reality Labs Silicon team is driving the state-of-the-art forward with highly integrated SoCs that leverage breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable wearables that blend our real and virtual worlds throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. We are looking for a Silicon Architect who will collaborate with a world-class group of SoC and IP architects, modeling, development, and validation teams, firmware developers, and program managers to accelerate the development and market introduction of low power highly customized SoCs.As a member of the Reality Labs SoC Performance team, you will play a key role in leading performance modeling, correlation, workload profiling, and analysis efforts.

**Required Skills:**

Silicon Performance Architect Responsibilities:

1. Conduct thorough bottleneck analysis of existing and future SoCs to identify areas for improvement

2. Develop accurate models of IP components, SoC fabric, and DRAM to predict performance and inform design decisions

3. Analyze system usage behavior of workloads and create micro-benchmarks to evaluate performance

4. Identify opportunities for optimization and collaborate with hardware teams to solidify HW-SW co-design

5. Work across disciplines, collaborate with vendors, brainstorm ideas and solutions, develop new methodologies, and coordinate multiple initiatives

**Minimum Qualifications:**

Minimum Qualifications:

6. 6+ years of experience in creating performance models using C/C++ or SystemC

7. Experience with SoC architecture, NoCs, memory sub-system, Quality of Service (QoS), and heterogeneous compute principles

8. Experience with scripting, infrastructure, automation and visualization using Python

9. Experience with power concepts and trade-offs

10. Experience deconstructing technical problems, designing performance experiments, analyzing/visualizing data, and sharing detailed analysis in the from of documentation with peers and cross functional partners

**Preferred Qualifications:**

Preferred Qualifications:

11. MS degree in EE/CS or equivalent experience

12. Experience working with cycle-accurate performance models and frameworks for performance architecture evaluations of various SoC components (Accelerators, NoC, DRAM, MMU, etc.)

13. Experience with bare-metal programming, micro-benchmarking, performance instrumentation, Simpoints, etc

14. Experience with RTL design verification

**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.