招聘
Benefits & Perks
•Team events and activities
•401(k) matching
•Professional development budget
•Generous paid time off and holidays
•Parental leave
•Flexible work arrangements
•Learning
•Parental Leave
•Flexible Hours
Required Skills
Node.js
React
TypeScript
As a software engineer in the Wearables System Health Team at Reality Labs, you will play a pivotal role in shaping the quality for Meta's next-generation wearable devices. This role sits at the intersection of hardware and software, focusing on building robust infrastructure and tooling that enable seamless device automation, testing, and continuous integration for performance, power efficiency and stability.
Software Engineer, Power and Performance Automation Responsibilities:
- Develop CI/CD infrastructure and automation solutions for performance, power efficiency and stability testing for embedded devices
- Identify and resolve quality issues across device hardware and software stacks
- Make measurable improvements to signal quality and regression detection capabilities
- Develop reusable software components for interfacing with back-end platforms
- Establish ownership of components, features, or systems with expert end-to-end understanding
- Create tools that improve productivity for broad teams in scale
- Develop unit, integration and end-to-end tests for devices
- triage test flakiness and noise issues
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Understanding of automated test pipelines and basic troubleshooting for device software
- Experience in improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
- Experience in building and shipping high quality work and achieving high reliability
Preferred Qualifications:
- Experience in embedded devices, Linux/Android, device farm/lab management, remote device orchestration, performance profiling and hardware/software integration
- Experience in designing, analyzing and improving efficiency, scalability, and stability of various system resources
- Experience with developing, debugging, and shipping software products on large code bases that span platforms and tools
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.
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%
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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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