招聘
Benefits & Perks
•Parental leave
•Flexible work arrangements
•Team events and activities
•Generous paid time off and holidays
•401(k) matching
•Parental Leave
•Flexible Hours
Required Skills
Node.js
React
PostgreSQL
Reality Labs focuses on delivering Meta's vision through Augmented Reality (AR) and Virtual Reality (VR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. The Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR and VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistor, through architecture, to firmware, and algorithms.
You will be part of the End-to-End (E2E) System and Infrastructure team at Reality Labs Silicon. Your work will focus on building and scaling software infrastructure and automation strategies for product development and validation targeting Meta's custom-designed System-on-Chips (So Cs) with low-level embedded software. The ideal candidate will understand Software/Hardware system integration on both pre-silicon and post-silicon platforms.
This is a full-time position.
Software Engineer, Silicon Infrastructure Responsibilities:
- Support all phases of SoC development - including standing-up pre-silicon model platforms, early software enablement and SoC bring-up, portable framework architectures and automation strategies implementation targeting simulation, emulation, FPGA and post-silicon product boards
- Develop automation frameworks that allow the silicon organization to move fast with high confidence in the quality of prototyping, system provisioning, silicon/software validation, and system integration
- Develop and distribute software APIs to orchestrate silicon development platforms to automate stimuli input and capture output datastreams for system integration and end-to-end product scenarios
- Invent new tools that streamline reliable software deployment, test execution, and data analysis for on-device continuous integration and release systems
- Stand-up telemetry, data loggers, and health monitoring systems of distributed software infrastructure while integrating with internal AI-tooling for improved observability and debugging
Minimum Qualifications:
- B.S. degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 2+ years of experience in software development
- Experience in software design and programming in C/C++ and Python for development, debugging, testing and system integration
- Experience in understanding hardware and how embedded systems work
Preferred Qualifications:
- Knowledge of the silicon development cycle
- Hands-on experience with peripherals such as UART, SPI, CSI-2, i2c, GPIO, and USB
- Experience with FPGA and hardware evaluation boards
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@fb.com.
$117,000/year to $173,000/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 · Data Scientist
3,113 reports
$284,667
total / year
Base
$179,458
Stock
$79,981
Bonus
$25,228
$193,897
$434,902
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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