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Supply Chain Operations Engineer

Meta

Supply Chain Operations Engineer

Meta

Menlo Park, CA

·

On-site

·

Full-time

·

2w ago

Compensation

$154,000 - $154,000

Benefits & Perks

Equity

401(k)

Equity

401k

Required Skills

Python

Operations Research

Supply Chain Management

Industrial Engineering

Mathematical Modeling

Data Analysis

Meta is seeking an Supply Chain Operations Engineer to join the Infrastructure Supply Chain and Engineering team to focus on operations optimization for all of Meta's infrastructure (Servers, Data Centers, Network) supply chain. This role will focus on optimizing supply chain operations at various levels to balance order management, delivery, flexibility, supply capacity and cost, from base components through manufacturing to finished goods, in an environment of continual product introduction, directly managing billions of investment annually. We will do this primarily by building software and mathematical optimization models, and automated tracking of key performance metrics to drive desired strategic and operational outcomes. The team is uniquely positioned to develop and optimize our infrastructure supply chain operations at the most strategic levels with company level impact.

This role is very cross-functional and provides an opportunity to work with our supply chain partners and a variety of engineering and business teams to power the rapid growth of Meta's products. This role will help to ensure optimal deployment and operation of our infrastructure from both a cost and technology perspective, with millions of servers, gigawatt of data center capacity, and cutting edge technology including advanced AI.

Supply Chain Operations Engineer Responsibilities:

  • Own infrastructure supply chain operations for Meta (as part of Meta Platforms, Inc. overall capacity delivery plan): including servers, network, and data center equipment from components through manufacturing to finished goods
  • Design improvements to software systems to optimize supply chain operations efficiency and accuracy, partner with software engineers to implement and contribute code yourself
  • Develop and analyze business, manufacturing, and logistics data and scenarios to solve complex problems in manufacturing operations and hardware logistics and delivery
  • Develop and apply stochastic models to simulate complex manufacturing systems, including production capacity, throughput, and material flow
  • Analyze simulation results to identify bottlenecks, optimize production, and improve overall system performance
  • Contribute to end to end supply chain processes (as part of Meta's overall capacity delivery plan), methodologies, and data to deliver an executable and optimized supply plan
  • Manage and resolve critical escalations and exceptions in all areas of the supply chain
  • Build mathematical models to perform simulation and optimization studies of manufacturing flow & capacity considering material inputs, supply partners, and logistics
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels

Minimum Qualifications:

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 6+ years of experience in operations research, industrial engineering, or related field
  • 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • 3+ years of experience in supply chain management - planning, manufacturing, operations, inventory, etc
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience in supply chain operations optimization
  • Experience working with cross-functional teams
  • Experience managing ambiguity

Preferred Qualifications:

  • Masters or Ph.D. degree in Operations Research, Industrial Engineering, or Supply Chain Management
  • 6+ years of technical and manufacturing operations experience in the hardware systems industry
  • Proven experience interfacing with and establishing relationships with management at suppliers or customers
  • Experience with order management system optimization and business intelligence/analytics
  • Experience transforming business systems, models, and achieving results relative to goals
  • Demonstrated skills questioning the norm, thinking out-of-bounds, and delivering
  • Experience interfacing with internal and external partners in a constantly evolving and cross-functional environment. Proven track record of effective judgment while coordinating people and technical resources

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.

$154,000/year 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