Reality Labs focuses on delivering Meta's vision through On-device AI. The compute performance and power efficiency requirements of these workloads 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, displays, sensors, and new ways to map the human body. Our chips will enable On-device AI assistance and features, 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 to architecture, firmware, and algorithms.We are seeking talented professionals to support the development and optimization of machine learning workloads and performance modeling for custom hardware and software platforms. In this role, you will contribute to analytical and simulation-based modeling and analysis, collaborating with cross-functional teams to build scalable and efficient solutions. Ideal candidates have a strong background in machine learning, system architecture, and performance modeling, and thrive in collaborative, hands-on environments.
Machine Learning Performance Modeling Architect Responsibilities:
- Lead power/performance modeling and analysis of machine learning software-hardware components and use cases
- Capture machine learning workloads from applications and system usages
- Support all phases of Silicon SoC development
- Contribute to execution of our silicon technology / machine learning roadmap to make beyond state-of-the-art advances in performance, power consumption and form factor
- Work across disciplines, build new methodologies, juggle/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 IP/SoC/System performance modeling and workload analysis/optimization for low-power/high-performance accelerators
- 8+ years of experience with programming languages (C/C++ and Python), script automation and data visualization
- Experience evaluating architectural tradeoffs in performance, power and image quality
- Experience employing scientific methods to debug, diagnose and drive the resolution of complex, cross-disciplinary system issues
Preferred Qualifications:
- MS EE/CS or equivalent in relevant areas
- Experience with building or modifying full-system performance simulators and analytical models
- Experience with collecting and interpreting performance counters using SW profilers
- Experience in machine workload development in Pytorch or similar ML toolchains
- Experience with thermally constrained power/performance optimization in mobile devices
- Experience operating under your own direction, driving high-level direction
- Experience with telemetry generation and analysis
- Experience with ML hardware architectures and use cases
- Understanding of SoC and System architecture and heterogeneous compute principles
- Experience Collaborating closely with the machine learning and system architecture teams to develop performance models for AR/VR machine learning software-hardware verticals
- Experience supporting all phases of Silicon SoC development from a machine learning vertical modeling - from early definition on through specification, architecture and productization
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 WhatsApp 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.
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.
$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.
