Meta · 19 hours ago
Machine Learning Performance Modeling Architect
Sunnyvale, CA
Full-time
Onsite
Senior Level, Lead/Staff
$178/hr - $250/hr
8+ years expMeta builds technologies that help people connect, find communities, and grow businesses. They are seeking a Machine Learning Performance Modeling Architect to support the development and optimization of machine learning workloads and performance modeling for custom hardware and software platforms, collaborating with cross-functional teams to build scalable and efficient solutions.
Computer Software
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
Qualification
Required
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
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
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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