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Manager Meta Ai Jobs (NOW HIRING)

These include development of Meta's AI products and the Metaverse, as well as continued expansion ... Experience managing relationships with outside counsel across multiple jurisdictions * Familiarity ...

... datacenter management networks that underpin Meta's entire production IP network. Our products ... Experience developing software using AI models or integrating AI tools into engineering workflows

... datacenter management networks that underpin Meta's entire production IP network. Our products ... Experience developing software using AI models or integrating AI tools into engineering workflows

These include development of Meta's AI products and the Metaverse, as well as continued expansion ... Experience managing relationships with outside counsel across multiple jurisdictions * Familiarity ...

... datacenter management networks that underpin Meta's entire production IP network. Our products ... Experience developing software using AI models or integrating AI tools into engineering workflows

From tapping into insights through Large Language Models (LLMs) to ideating with tools like Meta AI ... Experience project managing complex projects and influencing stakeholders for clients and agencies ...

From tapping into insights through Large Language Models (LLMs) to ideating with tools like Meta AI ... Experience project managing complex projects and influencing stakeholders for clients and agencies ...

... datacenter management networks that underpin Meta's entire production IP network. Our products ... Experience developing software using AI models or integrating AI tools into engineering workflows

... management tooling * Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) About Meta: Meta builds ...

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Manager Meta Ai information

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$29K

$104.6K

$118K

How much do manager meta ai jobs pay per year?

As of Sep 4, 2026, the average yearly pay for manager meta ai in the United States is $104,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What does a manager at Meta AI do?

A Manager Meta AI oversees teams that develop and implement artificial intelligence solutions at Meta (formerly Facebook). They are responsible for guiding AI strategy, managing projects, and ensuring the successful deployment of AI technologies across Meta's products and services. This role involves collaborating with engineers, researchers, and stakeholders to achieve business goals while maintaining ethical standards in AI development. Additionally, the Manager Meta AI monitors industry trends and helps shape the company's AI roadmap.

What are the key skills and qualifications needed to thrive as a manager at Meta AI?

To thrive as a Manager at Meta AI, you need a strong background in computer science or a related field, experience managing technical teams, and a deep understanding of artificial intelligence and machine learning concepts. Familiarity with tools like Python, TensorFlow, PyTorch, and experience with large-scale data systems or cloud platforms is typically expected. Excellent leadership, collaboration, and communication skills are crucial for motivating teams and driving cross-functional projects. These skills ensure that teams can innovate effectively, execute complex AI initiatives, and align with Meta's strategic goals.

What are some common challenges faced by a manager at Meta AI, and how can they be addressed?

A Manager in Meta AI often encounters challenges such as aligning cross-functional teams, balancing innovative research with business objectives, and managing rapidly evolving technologies. Effective communication and setting clear expectations help bridge gaps between researchers, engineers, and product teams. Additionally, staying current with AI advancements and fostering a collaborative, adaptable culture are key to successfully leading teams through complex projects and constant change.

What is the difference between Manager Meta Ai vs Data Scientist?

AspectManager Meta AiData Scientist
Primary RoleOversees AI projects, manages teams, and aligns AI strategies with business goalsAnalyzes data, develops models, and extracts insights to inform decision-making
Required SkillsLeadership, project management, AI knowledge, communication skillsStatistical analysis, programming, machine learning, data visualization
Typical EnvironmentTech companies, AI startups, large enterprises with AI initiativesResearch labs, tech firms, data-driven industries
CertificationsAI certifications, management courses, relevant degreesData science certifications, programming credentials, advanced degrees in related fields

While both roles involve AI, the Manager Meta Ai focuses on leading AI projects and teams, whereas the Data Scientist concentrates on analyzing data and building models. The manager oversees strategy and execution, while the data scientist provides technical expertise and insights.

More about Manager Meta Ai jobs

What cities are hiring for Manager Meta Ai jobs?

Cities with the most Manager Meta Ai job openings:

What are the most commonly searched types of Meta Ai jobs?

The most popular types of Meta Ai jobs are:

What states have the most Manager Meta Ai jobs?

States with the most job openings for Manager Meta Ai jobs include:

Infographic showing various Manager Meta Ai job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $104,575 per year, or $50.3 per hour.

Hardware Engineer, AI Accelerator Module Validation

Meta

Menlo Park, CA • On-site

$173K - $245K/yr

Full-time

Re-posted 11 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 247 rated software companies


Job description

The Hardware Design, Rack-scale Technology and Platforms (HDRTP) engineering team designs, develops, validates, and delivers the hardware modules and platforms that power Meta's AI and HPC infrastructure, deployed in data centers worldwide. Our work is published for industry adoption through the Open Compute Project Foundation. We are looking for a skilled AI Accelerator Module Validation Engineer to join our team. The Module Validation Engineer will own and drive module-specific test plans and testing in conjunction with module Electrical Engineers and Power Engineers. The role involves working in a cross-functional environment with multiple parallel programs on production paths. This role is critical to ensuring Meta's module and MTIA roadmap modules meet quality, reliability, and performance requirements before entering mass production. The engineer will partner with ODM partners to ensure vendor-owned testing meets Meta standards and will advance test methodologies across the accelerator module product portfolio.
Responsibilities
Own and drive module-specific validation test plans across the full product lifecycle (EVT, DVT, PVT, MP) in conjunction with module EE and Power Engineers
• Execute and oversee electrical, thermal, signal integrity, and power delivery validation testing for server and AI/HPC modules
• Advance test plans and methodologies across module products, ensuring comprehensive coverage of functional, performance, reliability, and compliance requirements
• Evaluate and ensure ODM/JDM partner (e.g., Quanta) testing plans, procedures, and results meet Meta's quality and reliability standards
• Ensure equipment, resources, and contingent workers are effectively allocated and driving closure for module testing milestones
• Develop, document, and maintain validation test procedures, specifications, and acceptance criteria
• Perform root cause analysis and failure analysis on test escapes and field returns, driving corrective actions to closure
• Collaborate with cross-functional teams including Mechanical, Thermal, Firmware, and Supply Chain to ensure holistic product readiness
• Define and track validation metrics and KPIs; provide regular status updates and risk assessments to program leadership
• Drive continuous improvement of test infrastructure, automation, and lab capabilities to support scaling across multiple parallel programs
• Partner with Data Center Site Operations and NPI teams to incorporate field feedback into validation requirements
Minimum Qualifications
• BS in Electrical Engineering, Computer Engineering, or a related technical discipline
• 8+ years of experience in hardware validation, test engineering, or product qualification in a server, networking, or high-performance computing environment
• 4+ years of experience developing and executing validation test plans covering electrical, thermal, and mechanical domains
• Knowledge of server module architectures including memory (DDR4/DDR5/HBM), high-speed I/O (PCIe, CXL, NVLink), and power delivery systems
• 4+ years of experience with lab equipment including oscilloscopes, logic analyzers, power analyzers, thermal chambers, and data acquisition systems
• Demonstrated expertise performing root cause analysis and driving corrective actions across cross-functional teams
• Strong project management skills with the ability to manage multiple concurrent validation programs
• Experience conveying technical findings in writing and verbally to engineering and non-engineering audiences (e.g., validation reports, test summaries, program reviews)
Preferred Qualifications
• MS in Electrical Engineering or a related field
• 8+ years of experience in hardware validation or test engineering for data center or AI/HPC products
• Experience working directly with ODM/JDM manufacturing partners in Asia (e.g., Quanta, Foxconn, Wistron)
• Familiarity with industry standards such as JEDEC, OCP, and Intel/AMD platform validation methodologies
• 8+ years of experience with environmental stress screening (ESS), HALT/HASS, and accelerated life testing
• 8+ years of experience with signal integrity and power integrity validation (eye diagram analysis, jitter measurement, PDN impedance characterization)
• Proficiency in scripting/automation (Python, Bash) for test automation and data analysis
• 5+ years of experience with ASIC/accelerator module validation (GPU, TPU, or custom AI accelerator modules)
• Knowledge of statistical methods for test data analysis (Cpk, GR&R, Weibull analysis)
• Prior experience scaling validation processes from prototype to high-volume manufacturing
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.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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