Software Engineer, Systems ML - Compilers / Backend
Meta
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Menlo Park, CA
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0
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Not Applicable
Posted March 13, 2026
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Responsibilities
- You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts.
- You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.
- Software Engineer, Systems ML - Compilers / Backend Responsibilities:
- Analyze and design effective compiler passes and optimizations.
- Implement and/or enhance code generation targeting machine learning accelerators
- Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
- Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
- Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
- Analyze and improve the efficiency, scalability, and stability of our toolchains.
- Optimize and tune kernels and compiled code to achieve latency targets for ML inference
- Conduct design and code reviews.
- Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
- Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa
Commitments
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.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
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Requirements
- 2+ years experience developing compilers, toolchains, runtime, or similar code optimization software
- Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
- Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)
Preferred Skills
- Experience working and communicating cross functionally in a team environment
- Experience with machine-code generation or compiler back-ends for on-device inference workloads
- Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
- Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
- Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms
- Experience of developing in a mainstream machine-learning framework, e.g.
- PyTorch, MLIR, Tensorflow or Caffe
Education
- (Not required) – Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
We are seeking a software engineer to support the development of the compiler tool-chain for state-of-the-art deep learning hardware components optimized for AR/VR systems. You will be part of our efforts to architect, design and implement a clean slate compiler for this activity and will be part of a team that includes compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute to a full stack development effort compiling PyTorch models down to binaries for custom hardware accelerator blocks.
Software Engineer, Systems ML - Compilers / Backend Responsibilities:
Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
Analyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference
Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years experience developing compilers, toolchains, runtime, or similar code optimization software
Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)
Preferred Qualifications:
Experience working and communicating cross functionally in a team environment
Experience with machine-code generation or compiler back-ends for on-device inference workloads
Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms
Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe
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.
$74.04/hour 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.
Software Engineer, Systems ML - Compilers / Backend Responsibilities:
Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
Work with algorithm research teams to map ML graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
Work with hardware architects to co-design hardware features that maximize performance, power efficiency and programmability
Contribute to the development of machine-learning libraries, intermediate representations, export formats, and analysis tools
Analyze and improve the efficiency, scalability, and stability of our toolchains. Optimize and tune kernels and compiled code to achieve latency targets for ML inference
Conduct design and code reviews. Evaluate code performance, debug, diagnose and drive resolution of compiler and cross-disciplinary system issues
Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
2+ years experience developing compilers, toolchains, runtime, or similar code optimization software
Experience in software design and programming experience in Python and/or C/C++ for development, debugging, testing and performance analysis
Experience in AI framework development or accelerating models on hardware architectures (GPU, TPU, custom AI ASICs)
Preferred Qualifications:
Experience working and communicating cross functionally in a team environment
Experience with machine-code generation or compiler back-ends for on-device inference workloads
Experience working on and contributing to an active compiler toolchain codebase, such as LLVM, MLIR, GCC, MSVC, Glow
Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc
Experience developing high-performance kernels or runtime components and tuning them for inference specific accelerator platforms
Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, MLIR, Tensorflow or Caffe
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.
$74.04/hour 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.