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Software Engineer, Server Efficiency

Meta

Software Engineer, Server Efficiency

Meta

Bellevue, WA

·

On-site

·

Full-time

·

2w ago

Compensation

$153,920 - $153,920

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

C++

C

Performance profiling

Computer architecture

Our team is responsible for increasing the efficiency of the entire software stack running in our data centers. Our work contributes to one of Meta's top priorities: we save the company billions of dollars in operating expenses every year, ensure that we have the computational resources necessary for our growth, and improve business metrics by advancing system software.We seek software engineers for roles focusing on performance engineering to support the majority of Meta's server-side software. At Meta we have a particular opportunity to optimize software execution, as we have full knowledge of what we run and the data patterns that we see. This guides our design and implementation of data structures, libraries, and performance optimizations to increase efficiency across our varied workloads and allows us to contribute beyond Meta's services through our open-source software. As a member of our team, you will contribute to high-impact efficiency improvements that benefit all of Meta's server developers and users. You'll be working alongside industry-leading library and compiler experts and collaborate with the open-source community.

Software Engineer, Server Efficiency Responsibilities:

  • Develop and optimize C/C++ libraries for Meta services-memory allocation, thread pools and work scheduling, thread synchronization and lockless data structures, highly performant collections, async processing and I/O, RPC, etc
  • Analyze resource utilization in server applications (CPU, GPU, memory, network, etc.), identify bottlenecks, scope out opportunities for improved resource utilization, and implement improvements, such as modifying core libraries to optimize Meta server workloads, implementing efficiency improvements in production code (e.g., change core data structures), or improving server utilization
  • Work with internal customers and partners to define requirements
  • Reflect requirements in the team roadmap and plan out execution

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of professional C/C++ experience
  • Knowledge of computer architecture, CPU and memory subsystem, and OS-level resource management
  • Experience using performance-profiling tools and optimizing native applications for execution-time and memory efficiency

Preferred Qualifications:

  • Experience implementing and optimizing low-level libraries, such as memory management, threading, data compression, or string processing
  • Knowledge of modern ISAs, such as x86 and ARM
  • Experience hand-tuning code, e.g., with loop optimizations, vectorization, parallelization, HW-architecture-specific optimizations
  • Experience developing operating-system kernels

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.

$74.04/hour to $217,000/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

Meta

Public

A 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