Software Engineering Manager, Compilers, MTIA

As a Software Engineering Manager in the MTIA Software team, you will lead the development of LLVM compiler infrastructure and early software development platforms like simulators, which will be used by the whole software team to accelerate Meta's AI workloads on custom accelerators. Your work on LLVM compiler infrastructure directly influences ISA design and hardware/software co-design decisions. The simulators you build will be critical for pre-silicon development, allowing the whole team to develop software before hardware is available. This program is a key AI infrastructure initiative, and the the team values deep technical contributions with extensive knowledge sharing.
Software Engineering Manager, Compilers, MTIA Responsibilities
Drive development of the LLVM compiler toolchain and early software development platforms, including cycle-accurate and functional simulators. You will lead teams of engineers and technical leaders delivering large-scale projects across compiler infrastructure and simulator development
Stay technically engaged, contributing hands-on through AI tools to evaluate the technical direction and quality across your team
Build and mentor engineers into AI-era leaders while maintaining high engineering craft standards
Form trusted cross-functional partnerships across software, hardware, and model teams while actively shaping strategy and roadmaps
Drive AI adoption across teams to expand delivery capacity, improve engineering workflows, and maintain technical engagement with system architecture and code quality

Minimum Qualifications:

5+ years of experience managing a software engineering team
Experience with compiler architecture and development, particularly ML compilers or domain-specific languages (DSLs)
Proven understanding and experience in executing full product life cycles (prototyping, deployment, and support)
Experience managing engineering teams, including experience in managing other engineering leaders or technical leads

Preferred Qualifications:

Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, and AI accelerators
Experience with LLVM compiler infrastructure and MLIR
Experience with RISC-V architecture and custom ISA tooling
Experience in hardware-software development environments such as simulators and emulators
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Knowledge of ML frameworks like Py Torch:

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Track record of driving AI-native engineering practices within an engineering organization, including integrating AI tools into development and review workflows

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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.

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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