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Über
San Francisco Office (HQ)
Employment Type
Full time
Department
World Labs HQ
At
World Labs , our mission is to revolutionize artificial intelligence by developing
Large World Models
— taking AI beyond language and 2D visuals into the realm of complex, embodied 3D environments. We’re building the infrastructure that allows AI to truly understand, simulate, and interact with the physical and digital worlds.
We’re looking for
exceptional engineers
who thrive at the intersection of
distributed systems, scalability, and performance . As part of our
Infrastructure and Backend Engineering
team, you’ll design and operate systems that underpin our large-scale AI training and inference pipelines — ensuring our models can scale to world-sized data and computation challenges.
Overview As an Infrastructure / Backend Engineer at World Labs, you’ll play a key role in architecting and scaling the systems that power our next-generation AI platforms. You’ll work closely with researchers and product engineers to design distributed systems, optimize performance bottlenecks, and ensure reliability at scale.
This role is ideal for someone passionate about
low-level performance optimization ,
distributed database systems , and
building infrastructure that drives frontier-scale AI research .
Key Responsibilities
Design, build, and operate
high-performance distributed systems that power modern AI products. This includes AI training, inference, and serving, as well as service and API infrastructure.
Optimize performance bottlenecks
to scale throughput and reliability by orders of magnitude.
Define long-term technical direction
and system evolution for core infrastructure components.
Collaborate cross-functionally
with product, research, and systems teams to deliver scalable, resilient backend services.
Dig deep into complex production issues
across the stack, from networking to storage to orchestration.
Contribute to system reliability
through incident response, postmortems, and best practices.
Key Qualifications
4+ years
of relevant industry experience, including
2+ years
leading large-scale distributed systems or backend projects.
Proven experience
building and scaling distributed systems
with a strong focus on
performance, reliability, and observability .
Strong foundation in a
systems programming language
(C++, Rust, or Go preferred).
Familiarity with
Linux systems ,
cloud environments
(AWS, GCP, or Azure), and
IaC tools
(Terraform, Pulumi, etc.).
Experience with
Kubernetes ,
container orchestration , and
CI/CD pipelines .
Proficiency in
monitoring and observability stacks
(Prometheus, Grafana, OpenTelemetry, etc.).
Bonus : domain expertise in
database systems ,
storage engines ,
query processing , or
streaming data pipelines .
Who You Are Fearless Builder:
You thrive on architecting systems that scale and love tackling hard distributed systems problems.
Performance Obsessed:
You think deeply about latency, throughput, and efficiency — and enjoy finding elegant solutions to complex bottlenecks.
Resilient Innovator:
You’re driven to build reliable systems that enable world-changing AI research.
Mission-Aligned:
You’re passionate about advancing spatially intelligent AI and want to work at the frontier of human–machine understanding.
Collaborative Engineer:
You believe the best infrastructure is built with a team — not in isolation.
We’re hiring the brightest minds from around the globe to bring diverse perspectives to our mission. If you’re ready to build the systems that will
power AI’s next leap
— from understanding worlds to creating them — then
World Labs
is your launchpad.
Join us, and let’s make history together.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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