Machine Learning Hardware Architect jobs in United States
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Meta · 6 days ago

Machine Learning Hardware Architect

Meta is a company focused on building technologies that connect people and foster community. They are seeking a Machine Learning Hardware Architect to lead the design of AR/VR optimized silicon, collaborating with engineers to develop custom Machine Learning Hardware accelerators for various SoCs.

Computer Software
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Comp. & Benefits

Responsibilities

Technical lead for ML Hardware engineers, driving design from Architecture through to Product for AR/VR optimized silicon
Lead designs to surpass state of the art for metrics such as compute, bandwidth and power consumption
Work across disciplines, brainstorm big ideas, work in new technology areas, juggle/coordinate multiple initiatives, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
Travel both domestically and internationally

Qualification

Machine Learning IPsDigital design µArchitectureSoC ArchitectureDeep learning algorithmsFirmware optimizationLow power implementationTeam collaborationCreative thinkingCritical thinking

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
12+ years of experience as a Hardware Design Engineer or Silicon Architect for production silicon shipped in volume
Experience in Machine Learning IPs Silicon development
Experience in digital design µArchitecture, RTL coding
Experience with methods for partitioning a solution across hardware and software, evaluating trade-offs such as speed, performance, power, area
Results oriented, proactive with demonstrated creative & critical thinking

Preferred

Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, transformers, LLMs
Experience with SoC Architecture and subsystem Integration
Knowledge of industry trends and disruptive technologies
Experience with Firmware, DSP coding and optimization
Knowledge of Physical Design and Low power implementation
Collaborate and/or lead in a team environment
Master/PhD degree in EE/CS or equivalent areas

Benefits

Bonus
Equity
Benefits

Company

Meta's mission is to build the future of human connection and the technology that makes it possible.

Funding

Current Stage
Late Stage

Leadership Team

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Kathryn Glickman
Director, CEO Communications
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Christine Lu
CTO Business Engineering NA
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Company data provided by crunchbase