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Meta Software Engineer Jobs in Texas (NOW HIRING)

This role is ideal for software engineers who have strong coding fundamentals, cloud exposure, and ... Apple, Meta, Tesla, Oracle, or similar enterprise environments * Undergraduate STEM degree ...

Senior AI Engineer, MarTech

Frisco, TX · On-site

$115K - $152K/yr

McAfee is seeking a Senior AI Engineer to lead the transformation of their marketing ecosystem. The ... Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused ...

Senior AI Engineer, MarTech

Frisco, TX · On-site +1

$114K - $151K/yr

Senior AI Engineer, MarTech Role Overview: We are looking for a Senior AI Engineer to lead the ... Meta Conversions API, Google Enhanced Conversions), Analytics (Adobe CJA), Customer focused ...

Sr Lead Data Architect

Plano, TX · On-site

$64.25 - $86.25/hr

As a Senior Lead Data Architect at JPMorgan Chase within the Software Defined Networking team, your ... Work with other Engineering and Platform teams to architect and rapidly iterate on designs ...

This role carries a dotted-line relationship to ICON's Engineering & Software Development team ... meta tags, canonical URLs, redirects, and site architecture improvements. Analytics, Tracking ...

This role carries a dotted-line relationship to ICON's Engineering & Software Development team ... meta tags, canonical URLs, redirects, and site architecture improvements. Analytics, Tracking ...

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Showing results 1-20

Meta Software Engineer information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do meta software engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for meta software engineer in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

Is it hard to get hired at Meta?

Getting hired as a Meta Software Engineer can be competitive due to the company's rigorous interview process, which often includes multiple technical rounds, coding challenges, and behavioral assessments. Strong programming skills, experience with data structures and algorithms, and familiarity with tools like React or Python can improve chances of success.

How much do Meta engineers get paid?

Meta Software Engineers typically earn a base salary ranging from $120,000 to $200,000 annually, depending on experience, location, and level. Compensation often includes bonuses, stock options, and benefits, with higher salaries for senior roles and specialized skills in areas like AI and backend development.

How much do software engineers at Meta get paid?

Software engineers at Meta typically earn a base salary ranging from $120,000 to $200,000 annually, depending on experience, location, and level. Total compensation often includes bonuses, stock options, and other benefits, making the overall package competitive within the tech industry.

What are the key skills and qualifications needed to thrive in the Meta Software Engineer position, and why are they important?

To thrive as a Meta Software Engineer, you need strong programming skills in languages such as Python, C++, or Java, a deep understanding of computer science fundamentals, and typically a bachelor's degree in computer science or a related field. Experience with large-scale distributed systems, cloud computing platforms, and familiarity with development tools like Git and debugging frameworks are essential; certifications in cloud services or specialized technologies can be advantageous. Strong problem-solving abilities, collaboration, and effective communication skills distinguish top performers. These capabilities enable engineers to build high-quality, scalable products and seamlessly integrate within fast-paced, innovative technical teams.

What are some typical challenges faced by Meta Software Engineers, and how are they supported in overcoming them?

Meta Software Engineers often work on complex, large-scale systems that serve billions of users, presenting challenges such as optimizing performance, ensuring data privacy, and maintaining reliable uptime. The fast-paced environment requires engineers to stay current with rapidly evolving technologies and to frequently solve unique, open-ended problems. Meta provides robust support through collaborative teams, ongoing training, mentorship programs, and access to extensive internal knowledge resources. This environment helps engineers quickly ramp up, continuously improve their skills, and overcome technical and organizational hurdles efficiently.

What engineer makes $500,000 a year?

Senior software engineers at major tech companies, including roles like Meta Software Engineer, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, advanced skills in software development, and often working in high-cost-of-living areas or at companies with competitive compensation packages.

What is a Meta Software Engineer job?

A Meta Software Engineer is responsible for designing, developing, and optimizing software products and infrastructure that support Meta's applications and services. They work on large-scale systems, collaborating with cross-functional teams to build innovative solutions in areas such as AI, virtual reality, and social networking. The role requires strong coding skills, problem-solving abilities, and expertise in languages like Python, Java, or C++.

What cities in Texas are hiring for Meta Software Engineer jobs? Cities in Texas with the most Meta Software Engineer job openings:
Infographic showing various Meta Software Engineer job openings in Texas as of June 2026, with employment types broken down into 80% Full Time, 15% Part Time, and 5% Nights. Highlights an 75% Physical, 6% Hybrid, and 19% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.
AI Engineer

Full-time

Posted 21 days ago


Job description

Title: AI Engineer
Duration: Full Time
Location: Dallas, TX - Hybrid Onsite 3-4 days/week (by Victory Park)
Overview
We are seeking an early-career AI Engineer to join a growing engineering organization focused on building scalable cloud applications, intelligent automation capabilities, and next-generation enterprise platforms. This role is ideal for software engineers who have strong coding fundamentals, cloud exposure, and an interest in modern AI technologies, distributed systems, and backend engineering.
The environment is highly collaborative and engineering-driven, with opportunities to work across cloud infrastructure, platform tooling, backend services, and AI-enabled application development. The team is open to candidates from a variety of technical backgrounds and will provide training on internal platforms, tooling, and AI ecosystems.
Success in this role comes from strong problem-solving ability, software engineering fundamentals, curiosity, and experience operating within high-performing technical environments.
Responsibilities
  • Design and develop backend services, APIs, and cloud-native applications supporting enterprise initiatives
  • Build scalable integrations, automation capabilities, and distributed system components across cloud environments
  • Contribute to platform engineering efforts including CI/CD pipelines, infrastructure tooling, observability, and deployment automation
  • Collaborate with engineering teams on application performance, scalability, reliability, and developer experience improvements
  • Participate in system architecture, technical design discussions, and implementation planning across cloud and AI initiatives
  • Support the integration of AI-enabled capabilities, intelligent workflows, and data-driven features into enterprise applications
  • Work closely with senior engineers and technical leadership to learn and contribute within a fast-paced engineering environment

Required Qualifications
  • 1-3 years of experience in software engineering, backend development, cloud engineering, or platform engineering
  • Strong programming fundamentals in at least one modern language such as Python, Java, Go, TypeScript, C#, or similar
  • Hands-on exposure to at least one major cloud platform including AWS, Azure, or GCP
  • Familiarity with cloud-native technologies and engineering concepts including APIs, Docker, Kubernetes, CI/CD, infrastructure automation, or distributed systems
  • Internship, co-op, or professional engineering experience within a large-scale technology-driven organization such as Amazon, Google, Microsoft, Apple, Meta, Tesla, Oracle, or similar enterprise environments
  • Undergraduate STEM degree completed within the United States

Preferred Qualifications
  • Exposure to modern AI or LLM concepts including:
    • Retrieval-Augmented Generation (RAG)
    • Embeddings and vector search
    • Prompt engineering
    • AI agents and workflow orchestration
  • Familiarity with frameworks or tools such as LangChain, LangGraph, OpenAI APIs, or similar technologies
  • Understanding of machine learning or data science fundamentals
  • Exposure to backend architecture, distributed systems, or platform engineering best practices
  • Interest in AI infrastructure, intelligent automation, and enterprise-scale engineering systems

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