Generalist
Software Engineer: ML Infra
San Francisco Bay Area (San Mateo) or Boston (Somerville)
Sponsorship not specifiedDetected 169 days ago
Cloud PlatformsKubernetesMachine LearningNLPRoboticsResearch
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Cap-exempt (no lottery)0
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Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Generalist trains very large robot foundation models.
- This requires utilizing very large numbers of the latest generation GPU hardware and infrastructure (currently Nvidia) to run distributed training jobs and researcher experiments.
- For our robots this is a fleet of on-prem GPUs attached to robots that have extreme real-time and latency budgets in compute constrained environments.
Responsibilities
- Have build high-scale ML data loaders and preparation systems
- You will also own inference infrastructure. For our robots this is a fleet of on-prem GPUs attached to robots that have extreme real-time and latency budgets in compute constrained environments.
- You will also own inference infrastructure.
- Robots can help us build more and get more done.
- We build embodied foundation models, starting with a focus on dexterity.
Company info
- At Generalist, we are on a mission to make general-purpose robots a reality.
- The company embraces both large-scale AI and robotics as core to its DNA.
- Our team of researchers, roboticists, and company builders come from OpenAI, Boston Dynamics, Google DeepMind, and other frontier labs-with a track record of shipping AI breakthroughs.
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This listing is sourced directly from Generalist's careers page and normalized into a canonical job model.