Silicon Performance Architect, Reality Labs

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.
Silicon Performance Architect, Reality Labs Responsibilities
Conduct thorough bottleneck analysis of existing and future So Cs to identify areas for improvement
Develop accurate models of IP components, SoC fabric, and DRAM to predict performance and inform design decisions
Analyze system usage behavior of workloads and create micro-benchmarks to evaluate performance
Identify opportunities for optimization and collaborate with hardware teams to solidify HW-SW co-design
Work across disciplines, collaborate with vendors, brainstorm ideas and solutions, develop new methodologies, and coordinate multiple initiatives

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
8+ years of experience in creating performance models using C/C++ or SystemC
Experience with SoC architecture, No Cs, memory sub-system, Quality of Service (QoS), and heterogeneous compute principles
Experience with scripting, infrastructure, automation, and visualization using Python
Experience with power concepts and trade-offs
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:

MS degree in EE/CS or equivalent experience
Experience working with cycle-accurate performance models and frameworks for performance architecture evaluations of various SoC components (Accelerators, NoC, DRAM, MMU, etc.)
Experience with bare-metal programming, micro-benchmarking, performance instrumentation, Simpoints, etc
Experience with RTL design verification
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $178,000/year to $250,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

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