Meta(Meta Platforms)岗位:Engineering Manager, ML Compilers (Triton / Kernel DSLs) Responsibilities
You will drive the development of the DSL compiler toolchain, including ML compiler integration,
GEMM and non-GEMM kernel enablement, collectives support, and next-generation low-level DSLs.
You will lead teams of engineers and technical leaders delivering large-scale projects across compiler infrastructure, kernel libraries, and production deployment on multiple accelerator generations
You will stay technically engaged, contributing hands-on through AI tools to evaluate the technical direction and quality across your teams.
You will form trusted cross-functional partnerships with hardware/architecture, kernel, runtime, framework, and model teams while actively shaping strategy and roadmap, and you will balance near-term deployment commitments against long-term compiler investments.
You will build and mentor engineers into AI-era leaders while maintaining high engineering craft standards
Minimum Qualifications
5+ years of experience in managing a software team in a fast-paced capacity
Experience with compiler architecture and development, particularly with ML compilers or domain-specific languages (DSLs)
Proven understanding and experience in executing full product life-cycles (prototyping, deployment, and support)
Preferred Qualifications
Experience working closely with hardware architectures such as SIMD, GPU, RISC-V, AI accelerators, and influencing architecture roadmaps
Experience with Triton, MLIR, or LLVM compiler infrastructure
Experience with open-source community engagement and upstream contributions
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with PyTorch compiler stack internals such as Inductor
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience with different programming models for high-performance computations, e.g., GPU CUDA programming or OpenCL or OpenMP programming
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Experience with kernel-level performance optimization for AI accelerators
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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.
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Equal Employment Opportunity Metais proud to be an Equal Employment Opportunity employer.
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