Jobs
Benefits & Perks
•401(k) matching
•Professional development budget
•Competitive salary and equity package
•Comprehensive health, dental, and vision insurance
•Team events and activities
•Flexible work arrangements
•Learning
•Equity
•Healthcare
•Flexible Hours
Required Skills
Node.js
React
PostgreSQL
As a Subsystem Architect at Reality Labs Silicon team, you will lead subsystem level requirement definition on upcoming AR/VR products. You will leverage systems expertise to drive architecture convergence on complex consumer electronics products. You will collaborate with experts in different fields to make architectural tradeoffs. You will own the accelerator system architecture on our upcoming So Cs for AR/VR products, thrive in ambiguity, and contribute significantly to mapping trade spaces. You will also act as a key point-of-contact representing the team with varying internal and external partners, in a highly cross-functional environment, delivering on challenging demands.
AR Subsystem Architect Lead Responsibilities:
- Own subsystem KPI requirement, deliver subsystem architecture specifications and drive cross-functional workstream prioritization
- Define subsystem power consumption modeling, use-case data flow, and latency analysis
- Drive accelerator subsystem architecture decisions while effectively navigating through ambiguity
- Work with product management and engineering teams across HW, SW, and FW to understand E2E technical stack while determining system feature sets
- Communicate technology and product strategy effectively to both internal and external stakeholders
- Help define long-term technology roadmap and guide management and partner teams on technology investments
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 8+ years of product experience in electrical engineering, computer engineering, or equivalent
- 5+ years of experience with system architecture across FW, SW, silicon, and thermal engineering
- 3+ years of experience working in memory management (cache, DRAM, allocation strategies, etc.) and analyzing its impact on overall system performance
- 3+ years of experience modeling subsystem power and performance, and using those models to inform in tradeoff analysis against key architectural decisions (e.g. battery life, thermals, silicon roadmaps, power load profiles)
- 2+ years of experience with C/C++ and Python, including code review and design principles
- Expertise creating system models to analyze system compute, latency, and communication interface bandwidths
Preferred Qualifications:
- Expertise that includes at least one or more of the key subsystems (Computer Vision, Graphics, Audio Interfaces, ISP) and algorithm fundamentals.
- 3+ years of experience with AR/VR systems, or systems aimed at capturing/processing/delivering audio, visual, IMU or other positional data streams.
- 3+ years of experience working with Product Managers and informing product decisions.
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 Whats App 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.
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About Meta

Meta
PublicA social technology company that enables people to connect, find communities, and grow businesses.
10,001+
Employees
Menlo Park
Headquarters
$800B
Valuation
Reviews
3.4
26 reviews
Work Life Balance
2.3
Compensation
4.2
Culture
2.8
Career
3.1
Management
2.1
45%
Recommend to a Friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Fast-paced and challenging work environment
Cons
Frequent layoffs and job insecurity
Poor leadership and management accountability
High stress and competitive work environment
Salary Ranges
40,175 data points
Mid/L4
Mid/L4 · Product Designer
1,471 reports
$273,432
total / year
Base
$180,290
Stock
$72,619
Bonus
$20,523
$186,170
$416,421
Interview Experience
6 interviews
Difficulty
4.2
/ 5
Duration
21-35 weeks
Offer Rate
17%
Experience
Positive 17%
Neutral 17%
Negative 66%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Coding Interviews
6
System Design Interview
7
Behavioral Interview
8
Final Loop/Hiring Manager Round
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Live Coding
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