Software Engineer

5 days ago

Bellevue, Washington, United States Facebook Full time
Meta is seeking an AI Software Engineer to join the Co-design team. The ideal candidate will have industry experience working on AI Infrastructure related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist on the web. We are hiring in multiple locations.The Co-design team work includes direct contributions to LLama, DLRM, and other open-source projects such as PyTorch FSDP and PyTorch2 compiler as well as the recently announced MTIA accelerator platform. The team is seeking full-time research scientists and software engineers in Computer Science, specifically with experience in architecture, HPC, and AI/ML systems such as: GPU/ASIC architectureGPU/ASIC-based ML kernel development and optimization (e.g. CUDA, ROCm) CPU-based threading models for x86 and ARM (e.g., OpenMP, Pthreads)HPC communication libraries (e.g., NCCL, RCCL, UCC, MPI)Numerics libraries (e.g., low precision arithmetic, quantizations, mixed precision ops)High performance computing (HPC)Distributed systems for hyperscale large language model (LLM) training and servingML compiler and ML distributed technologie

Software Engineer (Technical Leadership) Responsibilities:

  • Drive the organization's goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta's products and experiences
  • Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
  • Assist in goal setting related to project impact, AI system design, and ML excellence
  • Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
  • Apply in depth knowledge of how the machine learning system interacts with the other systems around it
  • Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
  • Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  • Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization
Minimum Qualifications:

  • Vast experience communicating and working across functions to drive solutions
  • Experience in driving large cross-functional/industry-wide engineering efforts
  • Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
  • Experience leading projects with industry-wide impact
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Significant experience in mentoring/influencing senior engineers across organizations
  • Specialized experience in one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
  • Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python
Preferred Qualifications:

  • Experience with distributed systems or on-device algorithm development
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-

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