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How much do executive optimization engineer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for executive optimization engineer in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.
What cities are hiring for Executive Optimization Engineer jobs? Cities with the most Executive Optimization Engineer job openings:
What are the most commonly searched types of Optimization Engineer jobs? The most popular types of Optimization Engineer jobs are:
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Executive Optimization Engineer jobs near you
Infographic showing various Executive Optimization Engineer job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.
Performance & Capacity Engineer - Planning Optimization

Performance & Capacity Engineer - Planning Optimization

Meta

Bellevue, WA

$184K/yr

Full-time

Posted 17 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

124th of 192 rated software companies

Job description

Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network).You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity.You will be in a highly cross-functional role, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will optimize capacity plans that inform strategic infrastructure and product decisions at the executive level, as well as providing execution guidance for infrastructure and product teams.To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.
Performance & Capacity Engineer - Planning Optimization Responsibilities:
  • Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
  • Build automated, scalable data and analytics solutions by developing advanced automation, mathematical optimization, and/or AI models
  • Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to inform executive decision-making around infrastructure/product, up to the CxO level
  • Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to identify efficient ways to scale infrastructure and place our services
  • Effectively lead company-wide Capacity Planning business processes across technical and non technical contributors
  • Partner with Finance to balance cost efficiency with technical and product considerations
  • Greenfield work: Work cross-functionally to define problem statements, collect data, build software-driven models and make recommendations to drive change and optimization at the company level

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in any coding language and designing software systems, OR 4+ years experience with a PhD
  • 8+ years of experience in capacity, performance, software, or reliability engineering, OR 4+ years experience with a PhD
  • Experience navigating ambiguous problem spaces and ramping up on new technical and business domains to deliver results

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Practical experience and demonstrated success in Capacity Planning for a major private or public cloud
  • Experience with planning for large-scale technical infrastructure and distributed systems
  • Experience working with variety of technical and business teams
  • Experience with mathematical optimization
  • Experience and interest in building "Zero to One" - building systems and process from scratch with ambiguous requirements and goals
  • MS or PhD in Computer Science, Operations Research, or other technical field

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 WhatsApp 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.
$184,000/year to $257,000/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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