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Research Member of Technical Staff - Training Platform

Rhoda AI · Mountain View

CHECKED 16H AGO

Roboticsonsite$200k–$300k
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At a glance

Highlights

  • Build orchestration powering large-scale training for generalist robots.
  • Improve research velocity with faster experiment iteration loops.
  • Join a team backed by over $450M to scale frontier robotics.

What they offer

  • Equity

Ideal candidate

A reliability-minded platform engineer who loves empowering researchers and thrives on speeding up iteration. You care about robust systems and fast feedback loops.

Requirements

  • Strong software engineering skills with experience in MLOps or ML platform engineering
  • Familiarity with distributed training frameworks (PyTorch DDP, FSDP, DeepSpeed, Megatron, or similar)
  • Experience building experiment tracking, reproducibility, and artifact management systems
  • Comfortable managing and operating GPU cluster environments (Slurm, Kubernetes, or similar)
  • Strong reliability engineering instincts: monitoring, alerting, and failure recovery

Lab profile

About Rhoda AI

Building generalist intelligent robots via full-stack hardware and foundation world models.

What they build

  • Generalist intelligent robots
  • Foundation world models for robot control

Known for

  • Full-stack ownership from hardware to AI
  • Generalist robots for complex real-world environments
  • End-to-end system design and cutting-edge research

Key facts

  • Raised over $450M
More about Rhoda AI →
Apply on the lab’s site ↗