Silicon Performance Architect, Reality Labs

**Summary:**

Reality Labs focuses on delivering Meta's vision through creating advanced AI-enabled wearables. The compute performance and power efficiency requirements of wearables require custom silicon. The custom silicon team within Reality Labs is driving the state-of-the-art forward with breakthrough work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors. Our chips will enable wearable devices where our real and virtual world will mix and match 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.As an architect on the the SoC Performance team within Reality Labs, you will play a key role in leading performance modeling, correlation, workload profiling, and analysis efforts.

**Required Skills:**

Silicon Performance Architect, Reality Labs 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. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

7. 8+ years of experience in creating performance models using C/C++ or SystemC

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

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

10. Experience with power concepts and trade-offs

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

**Preferred Qualifications:**

Preferred Qualifications:

12. MS degree in EE/CS or equivalent experience

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

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

15. Experience with RTL design verification

16. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

**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.