Jobs
Benefits & Perks
•Equity
•401(k)
•Equity
•401k
Required Skills
Leadership
Management
Technical expertise
Team building
We are looking for seasoned engineering leaders to join us in making the world more open and connected. We embrace entrepreneurs as well as those who come from more established companies. We are looking for someone with a strong technical foundation plus a track record of structuring healthy organizations that encourage effective collaborations across multiple disciplines. You'll influence technical decision making, drive prioritization and execution, while managing outstanding engineers and engineering managers in a fast-paced, impact focused environment.
You will be responsible for leading teams chartered with infrastructure innovations that enable software engineers, research scientists, data scientists, ML engineers to deploy solutions at planet scale and meet Meta's growing product and business needs.
Director, Software Engineering Responsibilities:
- Build, manage and support varied teams of software & hardware engineers and engineering managers/directors.
- Provide both technical and organizational leadership
- Form cross-functional and cross-discipline partnerships to drive engineering efforts
- Establish effective strategies and execute against them
- Uphold a culture of respect, integrity, inclusion, innovation
Minimum Qualifications:
- Significant technical industry experience
- Strong management experience
- Demonstrated experience recruiting, building, structuring, leading technical organizations, including performance management
- Proven track record managing globally distributed teams
Preferred Qualifications:
- Experience with AR/VR or related fields including robotics, automotive, aerospace and digital photography
- Experience with sensors for AI such as: 1. Camera, IMUs and depth sensing 2. Management and creation of synthetic spatial data 3. Sensor simulation / emulation 4. Sensor tuning and calibration 5. Image processing algorithms
- Experience with Spatial AI techniques such as: 1. Core computer vision / ML 2. 3D spatial reasoning, mapping and reconstruction 3. GIS fundamentals 4. Mixed reality
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%
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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