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Senior Software Engineer, Systems ML Specialist

2 months ago

Oslo, Oslo County, Norway Meta Full time
About the Role

Meta is seeking a highly skilled AI Research Scientist/Software Engineer to join our Collective Compute Enablement team. As a key member of this team, you will play a critical role in maximizing training performance of Generative AI and Recommendation models on Meta's Training and Inference Accelerator (MTIA).

Key Responsibilities
  • Apply state-of-the-art AI infrastructure and software/hardware acceleration techniques to build and optimize large-scale AI workloads.
  • Analyze, benchmark, and optimize large-scale workloads on next-generation training superclusters.
  • Define use cases and develop methodology and benchmarks to evaluate different approaches.
  • Set direction and goals for the team related to project impact, AI system design, infrastructure, and developer efficiency.
  • Lead large and complex technical efforts across many engineers and teams.
  • Influence and impact next-generation of model and hardware architecture choices through deep and thorough data-driven analyses.
  • Help onboard new team members, provide mentorship, and enable successful ramp up on the team's code base.
  • Mentor other engineers, research scientists, and improve the quality of engineering work in the broader team.
Requirements
  • Bachelor's degree in computer science or a related STEM field.
  • Specialized experience in one or more of the following machine learning/deep learning domains: hardware accelerator architectures, machine learning compilers or ML systems, AI infrastructure, high-performance computing, performance optimizations, or ML frameworks such as PyTorch.
  • Proven C/C++ and Python programming skills in developing AI Systems infrastructure or AI algorithms.
  • Experience with debugging in C++, Python, and/or PyTorch.
  • Track record of defining and leading long-term plans for the team.
  • Track record of mentoring and growing other engineers.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Master's degree/PhD in computer science or related STEM field and strong experience in AI framework development or accelerating deep learning models on hardware architectures.
  • Experience with training of large-scale AI models.
  • Experience with distributed AI systems and communication protocols such as MPI or collective libraries such as NCCL.
  • Experience or knowledge in one or more of LLM/LDM, ranking, and recommender models or collective communication libraries.