Meta
AI

Software Engineer Systems ML Compilers Backend

Meta · Sunnyvale, CA, US

Actively hiring Posted 21 days ago

Role overview

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 [email protected].

$58.65/hour to $181,000/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.

What you'll work on

  • Analyze and design effective compiler passes and optimizations. Implement and/or enhance code generation targeting machine learning accelerators
  • Work with algorithm research teams to support the co-design of hardware features mapping ML graphs to hardware implementations, modeling data-flows, creating cost-benefit analysis and estimating 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
  • Collaborate with the team to enhance the efficiency, scalability, and stability of our toolchains by focusing on kernel optimization and tuning
  • 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

What we're looking for

  • 1+ years experience developing compilers or similar code optimization software
  • 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

Tags & focus areas

Used for matching and alerts on DevFound
Machine Learning Deep Learning Pytorch Ai