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Meta Software Engineer Jobs in California (NOW HIRING)

Meta is seeking a distinguished Software Engineer with deep machine learning expertise to drive transformative advances across Meta's AI-powered products and platforms. In this role, you will operate ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Product Responsibilities: * Collaborate with cross-functional teams (product ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ...

Software Engineer, Systems ML

Menlo Park, CA · On-site

$203K - $241K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Software Engineer, Systems ML

Sunnyvale, CA · On-site

$203K - $240K/yr

Meta is seeking a Software Engineer to join our Systems ML Engineering team, focused on building and optimizing the machine learning infrastructure that.

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Android Responsibilities: * Collaborate with cross-functional teams (product ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Infrastructure Responsibilities: * Collaborate with cross-functional teams ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Android Responsibilities: * Collaborate with cross-functional teams (product ...

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products ... Software Engineer, Android Responsibilities: * Collaborate with cross-functional teams (product ...

Showing results 41-60

Meta Software Engineer information

See California salary details

$62.7K

$145.6K

$202.8K

How much do meta software engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for meta 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 Meta software engineer?

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 skills and qualifications are needed to be a Meta software engineer?

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 challenges do Meta software engineers face and how are they supported?

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.

Is it hard to get a software engineer job at Meta?

Securing a software engineer position at Meta is competitive, often requiring strong technical skills, relevant experience, and proficiency in programming languages like Python or C++. Candidates typically go through multiple interview rounds assessing coding, system design, and problem-solving abilities. Having a solid portfolio, relevant internships, and knowledge of tools like React or GraphQL can improve chances.

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

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

Infographic showing various Meta Software Engineer job openings in California as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $145,592 per year, or $70 per hour.

Software Engineer, SystemML - AI Networking

Meta

Menlo Park, CA • On-site

$154K/yr

Full-time

Re-posted 19 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

In this role, you will be a member of the AI Networking Software team and part of the bigger DC networking organization. The team develops and owns the software stack around NCCL (NVIDIA Collective Communications Library), which enables multi-GPU and multi-node data communication through HPC-style collectives. NCCL has been integrated into PyTorch and is on the critical path of multi-GPU distributed training. In other words, nearly every distributed GPU-based ML workload in Meta Production goes through the software stack the team owns.At the high level, the team aims to enable Meta-wide ML products and innovations to leverage our large-scale GPU training and inference fleet through an observable, reliable and high-performance distributed AI/GPU communication stack. Currently, one of the team’s focus is on building customized features, software benchmarks, performance tuners and software stacks around NCCL and PyTorch to improve the full-stack distributed ML reliability and performance (e.g. Large-Scale GenAI/LLM training) from the trainer down to the inter-GPU and network communication layer. And we are seeking engineers to work on the space of GenAI/LLM scaling reliability and performance.
Software Engineer, SystemML - AI Networking Responsibilities:
  • Providing technical leadership for the collective communication library development on Meta's large-scale GPU training infra with a focus on GenAI/LLM scaling

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • Proven C/C++ and Python programming skills
  • Proven track record of leading successful projects
  • Experience leading cross-functional technical projects and communicating technical decisions to both technical and non-technical stakeholders
  • Specialized experience in one or more of the following machine learning/deep learning domains: Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch)

Preferred Qualifications:
  • Experience with NCCL and distributed GPU performance analysis on RoCE/Infiniband
  • Knowledge of GPU architectures and CUDA programming
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience working with DL frameworks like PyTorch, Caffe2 or TensorFlow
  • Experience in AI framework and trainer development on accelerating large-scale distributed deep learning models
  • Experience with both data parallel and model parallel training, such as Distributed Data Parallel, Fully Sharded Data Parallel (FSDP), Tensor Parallel, and Pipeline Parallel
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • PhD in Computer Science, Computer Engineering, or relevant technical field
  • Knowledge of ML, deep learning and LLM
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Experience in HPC and parallel computing

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.
$154,003/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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