Luma AI

Software Engineer, Inference

Hybrid

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

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 own how Luma's models get served — integrating new architectures into the inference engine, scaling deployments across thousands of machines, and keeping expensive GPU fleets busy while meeting internal SLOs.

This is large-scale inference systems work: scheduling, fleet management, deployment pipelines, and reliability across clusters and hardware providers. It fits a strong systems engineer comfortable with model serving and Kubernetes at scale. If you want pure modeling rather than the systems that run models, this is firmly the systems side.

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