Software Engineer, ML Compiler

Software Engineer, ML Compiler – Meta Reality Labs (RL)

Base pay range: $88,460 – $257,000 per year.

Meta Reality Labs (RL) is the world leader in the design of virtual and augmented reality systems. 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. The successful candidate will help architect, design, and implement a clean‑slate compiler that runs PyTorch models down to binaries for specialized hardware accelerator blocks.

• Analyze and design effective compiler passes and optimizations; implement or enhance code generation for machine learning accelerators.
• Work with algorithm research teams to map ML graphs to hardware implementations, model data‑flows, perform cost‑benefit analysis, and estimate silicon power and performance.
• Contribute to the development of machine‑learning libraries, intermediate representations, export formats, and analysis tools.
• Conduct design and code reviews; evaluate code performance, debug, diagnose, and resolve compiler and cross‑disciplinary system issues.
• Improve the efficiency, scalability, and stability of the tool chains.
• Interface with other compiler‑focused teams to evaluate and incorporate their innovations.
• Mentor other engineers on improving the quality of engineering work across the broader team.

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 3+ years of experience writing compilers or similar code‑optimization software.
• Experience in software design and programming with Python and/or C/C++ for development, debugging, testing, and performance analysis.
• Experience crossing multi‑disciplinary boundaries to drive optimal system solutions.
• Experience in AI framework development or accelerating deep learning models on hardware architectures.

• Experience with machine‑code generation or compiler back‑ends.
• Strong communication skills and ability to work cross‑functionally in a team environment.
• Experience driving large efforts across multiple teams.
• Experience developing in mainstream machine‑learning frameworks such as PyTorch, Tensor Flow, or Caffe.
• Knowledge of deep learning algorithms and techniques (e.g., convolutional neural networks, recurrent networks).
• Active contribution to an established compiler toolchain codebase such as LLVM, MLIR, GCC, MSVC, or Glow.

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 assistance or accommodations due to a disability, please let us know at accommodations‑

Individual compensation is determined by skills, qualifications, experience, and location. The base hourly rate, monthly rate, or annual salary is as stated above and does not include bonus, equity, or other incentives. In addition to base compensation, Meta offers a comprehensive benefits package. Learn more about benefits at Meta.