Software Engineer, ML Compiler

New Yesterday

Summary:
Meta Reality Labs (RL) is the world leader in the design of virtual and augmented reality systems. Come work alongside expert engineers and research scientists to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. 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 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. The ideal candidate will contribute to a full stack development effort compiling PyTorch models down to binaries for hardware accelerator blocks.
Required Skills:
Software Engineer, ML Compiler 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
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 drive resolution of compiler and cross-disciplinary system issues
Analyze and improve the efficiency, scalability, and stability of our toolchains
Interface with other compiler-focused teams to evaluate and incorporate their innovations and vice versa
Mentor other engineers on improving the quality of engineering work in the broader team
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
3+ years experience writing compilers 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 crossing multi-disciplinary boundaries to drive optimal system solutions
Experience in AI framework development or accelerating deep learning models on hardware architectures
Preferred Qualifications:
Preferred Qualifications:
Experience working and communicating cross functionally in a team environment.
Experience driving large efforts across multiple teams.
Experience of developing in a mainstream machine-learning framework, e.g. PyTorch, Tensorflow or Caffe.
Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
Public Compensation:
$85.10/hour to $251,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
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@fb.com.
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Location:
Burlingame, CA, United States
Category:
Computer And Mathematical Occupations

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