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Facebook Software Engineer Jobs in California (NOW HIRING)

Meta

Software Engineer, GenAI Frameworks

Menlo Park, CA · On-site

$121K/yr

Software Engineer, GenAI Frameworks Responsibilities: * Design and implement scalable systems for ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Machine Learning

Sunnyvale, CA · On-site

$347K/yr

Meta is seeking a distinguished Software Engineer with deep machine learning expertise to drive ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Systems ML

Sunnyvale, CA · On-site

$183K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Meta

Software Engineer, Systems ML

Menlo Park, CA · On-site

$183K/yr

Meta is seeking an AI Software Engineer to join our Research & Development teams. The ideal ... When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram ...

Oneco 1

Software Engineer

Fremont, CA · On-site

Website and Facebook landing pages/experiences * Lead nurturing, segmentation and multi-channel ... Engineering, Services and Support. * Exceptional planning, coordination, management, and ...

Sierra

Software Engineer, Security

San Francisco, CA · On-site

$230K - $390K/yr

... Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps ... Software Engineer, Security Security Engineering builds the foundations that let Sierra deliver ...

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Facebook Software Engineer information

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$62.7K

$145.6K

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How much do facebook software engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for facebook software engineer in California is $145,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $170,700.00 per year, depending on experience, location, and employer.

What is a Facebook software engineer?

A Facebook Software Engineer is responsible for designing, developing, and maintaining software systems that power Facebook's products and services. They work on scalable infrastructure, machine learning, data processing, front-end or back-end development, and user experience improvements. Engineers collaborate with cross-functional teams to solve complex technical challenges and enhance platform performance. The role requires strong programming skills, problem-solving abilities, and a deep understanding of software architecture.

What are some typical projects or responsibilities for software engineers at Facebook?

As a Facebook Software Engineer, you may work on projects involving large-scale web application development, backend infrastructure improvements, or the integration of new features into existing products. Typical responsibilities include writing and reviewing code, designing and optimizing distributed systems, collaborating closely with product managers and designers, and participating in code review and deployment processes. Many engineers also contribute to resolving technical challenges related to high traffic, data security, and user privacy. Teamwork and communication are important, as projects are often cross-functional and require coordination with colleagues across different departments. This collaborative approach allows you to have a direct impact on Facebook’s products and the experience of billions of users.

What are the key skills and qualifications needed to thrive in the Facebook software engineer position, and why are they important?

To thrive as a Facebook Software Engineer, you need strong programming skills (especially in languages like Python, Java, C++, or PHP), a solid understanding of algorithms and data structures, and typically a degree in computer science or a related field. Familiarity with distributed systems, large-scale infrastructure, and development tools such as Git, as well as experience with code review and CI/CD pipelines, are commonly expected. Creative problem-solving, effective communication, and the ability to collaborate in cross-functional teams are crucial soft skills for this role. These competencies ensure high-quality software delivery, innovation, and seamless teamwork in Facebook's dynamic, fast-paced environment.

What are popular job titles related to Facebook Software Engineer jobs in California?

For Facebook Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Facebook Software Engineer jobs in California look for?

The top searched job categories for Facebook Software Engineer jobs in California are:

What cities in California are hiring for Facebook Software Engineer jobs?

Cities in California with the most Facebook Software Engineer job openings:

Facebook Software Engineer jobs near you
Infographic showing various Facebook Software Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

Software Engineer, GenAI Frameworks

Menlo Park, CA • On-site

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$121K/yr

Full-time

Posted 6 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Meta is building the infrastructure and systems that power machine learning at scale across its family of products, including Feed, Reels, Ads ranking, and generative AI services. The Systems ML Engineering team sits at the intersection of ML and systems software, designing and optimizing the training and inference pipelines, distributed execution frameworks, and data processing systems that enable researchers and product teams to iterate quickly and deploy reliably. In this role, you will contribute to the full lifecycle of ML systems software — from designing scalable data pipelines and distributed training infrastructure to optimizing model serving latency and throughput — directly impacting the quality and speed of ML-powered experiences for billions of people.
Software Engineer, GenAI Frameworks Responsibilities:
  • Design and implement scalable systems for distributed ML training and inference, including data ingestion pipelines, feature processing, and model serving infrastructure
  • Develop and optimize ML platform components such as training orchestration, gradient communication, and checkpoint management across large-scale distributed environments
  • Profile and diagnose performance bottlenecks across the ML stack, including data loading, preprocessing, forward and backward passes, and serving latency
  • Write automated tests covering expected behaviors, failure modes, and error paths for ML systems components, and build monitoring and alerting for production anomalies
  • Collaborate with ML researchers and product engineers to translate model requirements into reliable, high-throughput system designs
  • Own technical design for features and components within ML infrastructure, evaluating trade-offs between throughput, latency, cost, and engineering maintainability
  • Participate in staged rollouts of ML system changes using feature flagging and A/B testing frameworks, monitoring key metrics and responding to regressions
  • Contribute to code quality through code reviews, clear technical documentation, and consolidation of duplicative implementations across the ML systems codebase
  • Support on-call rotations for owned ML infrastructure, investigating production incidents and contributing detailed retrospectives to prevent recurrence

Minimum Qualifications:
  • 2+ years of experience in software engineering with a focus on machine learning systems, distributed systems, or high-performance data infrastructure
  • Experience writing production-quality code in Python and at least one compiled language such as C++ or Java, including performance-sensitive systems code
  • Experience designing and implementing components of ML training or inference pipelines, including data preprocessing, model execution, or serving systems
  • Experience with distributed computing concepts such as data parallelism, model parallelism, or parameter server architectures as applied to ML workloads
  • Experience writing automated tests, building logging and alerting, and participating in production incident response for large-scale systems

Preferred Qualifications:
  • Experience optimizing ML workloads for throughput and latency, including profiling GPU or CPU utilization, memory bandwidth, and communication overhead in distributed training or inference settings
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience with stream or batch data processing systems such as Apache Spark, Flink, or Kafka in the context of ML feature pipelines
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • 1+ years production experience in GenAI post-training, RLHF, RLVR, comms/collectives, parallelism, accuracy evaluation, and performance profiling
  • Familiarity with model quantization, mixed-precision training, or other techniques for reducing compute and memory costs in production ML systems

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.
$121,992/year to $181,000/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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