Silicon Power Architect, Reality Labs

Meta

Sunnyvale (CA)

On-site

USD 146,000 - 209,000

Full time

14 days+

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Job summary

Meta Reality Labs is seeking a Silicon Power Architect to lead power design for next-generation wearables. You will model use-case power, influence SOC power, and work with PMIC and systems teams to optimize power across the stack—from RTL to architecture—driving prototypes toward high-volume products.

Candidates should have 6+ years in production silicon, experience partitioning hardware/software boundaries, and strong skills in power modeling and language programming.

Qualifications

  • BS in EE/CS or equivalent practical experience.
  • Experience with production silicon and at least one product shipped.
  • Experience in low power design across RTL and system level.

Responsibilities

  • Model and own use-case power for custom silicon with systems team.
  • Influence SOC IP power requirements and power sequencing.
  • Collaborate with SOC architects for image compute and CPU/GPU workloads.
  • Coordinate with PMIC and systems teams on SOC power.
  • Optimize power architecture to meet use-case goals.
  • Drive cross-disciplinary initiatives from concept to prototype.
  • Model data flows and cost/benefit trade-offs.
  • Translate post-silicon models to hardware correlation.

Skills

Power modeling
Low power design
System power optimization
RTL design
Power state analysis

Education

Bachelor's in EE or CS
MS/PhD preferred

Tools

Synopsys Platform Architect
Virtual prototyping tools
C, C++, Python

Job description

Summary:

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. Reality Labs Silicon team is driving the driving the industry forward with innovative work in AI, augmented reality, computer vision, machine learning, graphics, displays, and sensors. Our chips will enable wearable devices where our real and virtual worlds 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. We are seeking a Silicon Power Architect to lead the development of next-generation silicon solutions for wearables. This role requires experience in low-power design techniques, power estimation, and convergence tool flows and management.

Required Skills:

Silicon Power Architect, Reality Labs Responsibilities:

  1. Model and own use-case power for custom silicon by working closely with the systems team
  2. Influence the overall SOC IP's power requirements, including power states, high-level power tree, and power sequence requirements
  3. Work closely with architects of SOCs that optimize functions such as image compute and CPU/GPU workloads for our AR/VR products
  4. Work closely with PMIC and systems teams on the overall SOC power requirements
  5. Optimize the power architecture implementation to meet use case power goals
  6. Work across disciplines, brainstorm big ideas, build new methodologies, prioritize and coordinate multiple initiatives based on impact and deadlines, drive a concept into a prototype and ultimately guide the transition into a high-volume consumer product
  7. Understand the tradeoffs between general-purpose and custom compute mechanisms, be able to model data flows, and create detailed cost/benefit analysis
  8. Work on post silicon model to hardware correlation
Minimum Qualifications:
  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  2. Bachelor's degree in Computer Engineering or electrical engineering or a relevant technical field, or equivalent practical experience
  3. 6+ years of experience with production silicon including at least one product shipped
  4. Experience with methods for partitioning a solution across hardware and software, digital, and other multi-disciplinary boundaries in a system solution
  5. Experience in technology node scaling and projections
  6. Experience in custom IP block power estimates
  7. Experience of low power design principles across RTL, design and system level
  8. Experience in evaluating architectural trade-offs of performance, power, and area
  9. Experience employing scientific methods to debug, diagnose, and drive the resolution of cross-disciplinary system issues
Preferred Qualifications:
  1. Experience collaborating and/or leading in a team environment
  2. Familiarity with high-level modeling tools like Synopsys Platform Architect or virtual prototyping tools is a plus
  3. Experience independently driving technical workstreams while coordinating deliverables across hardware, software, and systems teams
  4. Experience in using AI agents for managing power tools and extracting results
  5. Experience defining and scoping technical specifications for novel silicon architectures in consumer electronics where requirements are continuously evolving
  6. MSEE or PhD equivalent
  7. Experience in top down high-level-model to HW power modeling of system use cases
  8. Experience programming in C, C++, or Python
  9. Results-oriented, self-motivated, proactive with demonstrated creative and critical thinking skills
Public Compensation:

$146,000/year to $209,000/year + bonus + equity + benefits

Industry:

Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affir mative 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.

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