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Job description
Meta is seeking a principal-level Compiler Architect to work across the full compiler stack for MTIA (Meta Training and Inference Accelerator). In this role, you will design and implement compiler infrastructure that enables efficient code generation, optimization, and execution on Meta's custom AI accelerators — from high-level graph transformations through intermediate representations to low-level code generation. You will tackle the hardest compiler challenges spanning ML workload analysis, graph-level optimizations, memory hierarchy management, and hardware-software co-design. This is a role for engineers who build the foundational software stack that unlocks the full performance potential of custom silicon for large-scale AI workloads.
Compiler Engineer, MTIA Software (Technical Leadership) Responsibilities:
Design compiler architecture and contribute across the full MTIA compiler stack, including graph compilers, intermediate representations, optimization passes, and code generation
Build extensible compiler frameworks and intermediate representations that enable rapid iteration and support evolving ML model architectures
Identify and eliminate performance bottlenecks across the compiler stack — from high-level graph optimizations through scheduling to low-level code generation
Collaborate with MTIA hardware teams on hardware-software co-design, translating compiler analysis and workload requirements into accelerator architecture improvements
Develop compiler correctness, reliability, and performance validation practices that ensure production-quality code generation at scale
Work with ML framework teams to integrate MTIA compiler infrastructure with PyTorch and other ML frameworks
Evaluate and apply state-of-the-art compiler technologies such as MLIR, bringing best practices into the compiler organization
Mentor engineers across the organization, leading compiler architecture reviews and raising the bar for technical excellence in compiler development
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience in software engineering with deep specialization in compiler development, code generation, or performance optimization for accelerators
Experience architecting production compiler infrastructure for ML accelerators, GPUs, or custom silicon
Experience with compiler intermediate representations, optimization passes, and code generation techniques
Experience leading multi-year cross-functional technical initiatives, including defining metrics, managing dependencies, and driving execution across organizational boundaries
Experience developing high-performance systems software with strong understanding of low-level optimization and hardware architecture
Experience influencing technical direction and engineering practices across multiple teams through written proposals, design reviews, and stakeholder alignment
Preferred Qualifications:
Deep understanding of ML model architectures and their computational patterns
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience contributing to compiler or ML systems efforts through publications, open-source projects, or standards bodies
Experience defining and operationalizing performance benchmarks and correctness validation for compiler infrastructure
Experience with hardware-software co-design for custom ML accelerators or AI chips
Experience with ML compiler stacks such as MLIR, XLA, TVM, Glow, or similar frameworks
Track record of applying AI tools and automation to redesign engineering workflows, with demonstrated efficiency or quality improvements
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
Master's or PhD degree in Computer Science, Computer Engineering, or a related 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.
$219,000/year to $301,000/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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Worksite address
menlo park, CA, 94029, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.