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Senior MLOps Engineer

Luma AI

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Location:
United States; United Kingdom , Palo Alto ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

187500.00 - 395000.00 USD / Year
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Job Description:

This is a rare opportunity to build the foundational infrastructure that powers our large-scale multimodal models. We believe that reliable, high-performance infrastructure is the single biggest differentiating factor between success and failure in achieving our mission. You will be a foundational member of the team, designing the critical systems that allow us to train and serve next-generation AI to millions of users.

Job Responsibility:

  • Architect end-to-end model serving pipelines and integrate new model architectures from our research team into our core, high-throughput inference engine
  • Build robust and sophisticated scheduling systems to manage jobs based on cluster availability and user priority, ensuring we optimally leverage thousands of expensive GPU resources
  • Design and implement dynamic, traffic-based systems for hotswapping models on our GPU workers to maximize fleet efficiency and meet product SLOs
  • Own the end-to-end CI/CD pipelines, including creating a resilient artifact store to manage all model checkpoints across multiple versions and providers
  • Develop and maintain user-friendly APIs and interaction patterns that empower our product and research teams to ship groundbreaking features at high velocity
  • Manage and optimize our complex inference workloads at scale, operating across multiple clusters and hardware providers

Requirements:

  • 5+ years of professional engineering experience with deep, hands-on proficiency in Python and complex distributed systems architecture
  • Extensive, practical experience building and managing systems at scale, specifically with queues, scheduling, traffic-control, and fleet management
  • Deep expertise in our core infrastructure stack: Linux, Docker, and Kubernetes
  • Strong experience with Redis, S3-compatible storage, and public cloud platforms (AWS)

Nice to have:

  • Experience with high-performance, large-scale ML systems (managing >100 GPUs)
  • Deep familiarity with PyTorch and CUDA
  • Experience with modern networking stacks, including RDMA (RoCE, Infiniband, NVLink)
  • Familiarity with FFmpeg and multimedia processing pipelines

Additional Information:

Job Posted:
January 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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