Member of Technical Staff

Lucid
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 250,000 annuallyFunction: Software EngineeringSkills: ["Communication","Collaboration"]

Experienced software engineer focused on enabling large-scale ML training infrastructure. Builds systems handling petabytes of data, designs distributed GPU training across clusters, evaluates orchestration with SLURM, and collaborates with ML researchers to remove bottlenecks, delivering foundations for rapid large-scale experiments.

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FursaFursa
Lucid
Lucid
1 year ago

Member of Technical Staff

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live

Job Summary

Experienced software engineer focused on enabling large-scale ML training infrastructure. Builds systems handling petabytes of data, designs distributed GPU training across clusters, evaluates orchestration with SLURM, and collaborates with ML researchers to remove bottlenecks, delivering foundations for rapid large-scale experiments.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build systems to handle petabytes of training data efficiently
  • •Design and manage distributed training infrastructure across GPU clusters
  • •Evaluate and implement orchestration systems (we currently use SLURM)
  • •Work directly with ML researchers to identify and solve infrastructure bottlenecks
  • •Build the foundational systems that let our team iterate quickly on large-scale experiments

Pay and Benefits

Salary: USD 150,000 - 250,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionEquity

Key Requirements

  • •Strong distributed systems experience with focus on performance optimization
  • •Deep understanding of ML training infrastructure and distributed training patterns
  • •Experience with Python and PyTorch in production environments
  • • Comfortable working with both cloud and bare metal infrastructure
  • •Self-starter who can evaluate technical trade-offs and make architectural decisions
  • •Excellent communication and collaboration skills
Experience:Machine learningDistributed systemsReal-time video models
Skills:CommunicationCollaboration
Languages:English
Tech Stack:PythonPyTorchSLURMGPUCloudBare metalDistributed systemsML training

Eligibility

Visa:US citizen/visa only
Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Lucid
Provides enterprise-grade conversational AI and retrieval-augmented generation (RAG) solutions that enable organizations to build, deploy, and customize search, chatbots, and knowledge-driven applications using their proprietary data.
Industry: AI & Machine Learning
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