Luma AI
Research Scientist / Engineer – Training Infrastructure
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Redwood City, CA
Employer listed it 2 months ago · Added today
Been open since 2 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Redwood City, CA
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Redwood City, CA, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Redwood City, CA, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
You'll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on innovation on top of reliable, efficient, scalable infrastructure.
This is hard PyTorch, CUDA, and distributed-systems work — advanced parallelism, training stability, and utilization across massive clusters. It fits an engineer who's solved real problems training foundation models at scale. If you haven't worked at the level of FSDP and multi-node training, this is the wrong depth.
The full brief and the application link are for members.
Requirements, benefits, how to apply and the employer's own careers page, plus every other live role we track. £9.99/month, or £19.99 for your first 3 months.
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