Staff AI Infra Engineer (data platform)

Genmo is a research lab dedicated to building open, state-of-the-art models for video generation towards unlocking the right brain of AGI.
Data
Staff Software Engineer
In-Person
5+ years of experience
AI

Description For Staff AI Infra Engineer (data platform)

Genmo, a research lab dedicated to building open, state-of-the-art models for video generation, is seeking an experienced Staff AI Infra Engineer to design, build, and scale their petabyte-scale data infrastructure. This role is crucial in shaping the future of AI and pushing the boundaries of what's possible in video generation.

Key responsibilities include:

  • Designing highly scalable data infrastructure and systems to process petabyte-scale data stores
  • Managing large-scale distributed processing jobs for ingesting and analyzing large-scale data sets for AI training
  • Optimizing storage systems to maximize performance
  • Building monitoring systems to ensure reliability of data infrastructure

The ideal candidate will have:

  • A Bachelor's, Master's, or PhD in Computer Science or a related field
  • 5+ years of experience working with large-scale systems
  • Extremely strong experience with Python
  • Strong experience with large-scale distributed computing frameworks (e.g., Spark, Ray)
  • Experience with a systems-level language (Rust, Go, C++)
  • Familiarity with a lakehouse format such as Delta Lake
  • Past experience working on machine learning (very strong plus)
  • Strong past experience working with Kubernetes and cloud environments (AWS, GCP, Azure)
  • Past experience designing and then scaling a large-scale system from zero to one

Genmo's team is extremely technical with leaders in distributed systems, GPU programming, and large-scale training. The ideal candidate will excel at working on highly technical problems, have excellent problem-solving skills, be detail-oriented, and communicate clearly.

Join Genmo in their mission to unlock the right brain of AGI through advanced video generation models. This is an opportunity to work on cutting-edge AI technology and contribute to the future of artificial intelligence.

Last updated 11 days ago

Responsibilities For Staff AI Infra Engineer (data platform)

  • Design highly scalable data infrastructure and systems to process petabyte-scale data stores
  • Manage large-scale distributed processing jobs for ingesting and analyzing large-scale data sets for AI training
  • Optimize storage systems to maximize performance
  • Build monitoring systems to ensure reliability of data infrastructure

Requirements For Staff AI Infra Engineer (data platform)

Python
Kubernetes
  • Bachelor's, Master's, or PhD in Computer Science or related field
  • 5+ years of experience working with large-scale systems
  • Extremely strong experience with Python
  • Strong experience with large-scale distributed computing frameworks (e.g., Spark, Ray)
  • Experience with a systems-level language (Rust, Go, C++)

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