SoC Performance Architect for AI Wearables in Redmond

SoC Performance Architect for AI Wearables in Redmond

Redmond Full-Time 72000 - 88000 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead performance analysis and develop models for cutting-edge AI wearable technology.
  • Company: Join Meta Reality Labs, a leader in innovative tech solutions.
  • Benefits: Attractive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and career advancement.
  • Why this job: Shape the future of AI wearables and make a significant impact in tech.
  • Qualifications: 8+ years in C/C++, SystemC, Python, and expertise in power-aware architecture.

The predicted salary is between 72000 - 88000 $ per year.

Meta Reality Labs seeks an experienced Silicon Performance Architect to lead bottleneck analysis and develop accurate performance models for So Cs.

You will model IP blocks, No C fabrics, and memory sub-systems, while evaluating workloads and guiding design decisions.

Ideal candidates have 8+ years with C/C++ or System C, Python scripting, and a strong background in power-aware architecture.

This role emphasizes cross-functional collaboration and innovative methodologies.

SoC Performance Architect for AI Wearables in Redmond employer: Meta

Meta is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. As a Client Solutions Manager in the heart of a leading tech hub, you'll benefit from a culture that prioritises employee growth through continuous learning opportunities and access to cutting-edge technologies. With a commitment to diversity and inclusion, Meta empowers its employees to thrive while making a meaningful impact on advertisers' success across its platforms.

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Contact Details:

Meta Recruitment Team

We think you need these skills to ace SoC Performance Architect for AI Wearables in Redmond

Silicon Performance Architecture
Bottleneck Analysis
Performance Modelling
C/C++
SystemC
Python Scripting
Power-Aware Architecture