Platform Engineer (Developer Infrastructure)

World Labs•San Francisco, CA

11h•$200 - $300

About The Position

We build foundational world models that can perceive, generate, reason, and interact with the 3D world — unlocking AI's full potential through spatial intelligence by transforming seeing into doing, perceiving into reasoning, and imagining into creating. We believe spatial intelligence will unlock new forms of storytelling, creativity, design, simulation, and immersive experiences across both virtual and physical worlds. We bring together a world-class team, united by a shared curiosity, passion, and deep backgrounds in technology — from AI research to systems engineering to product design — creating a tight feedback loop between our cutting-edge research and products that empower our users. We are looking for a Staff Platform Engineer to own Developer Infrastructure at World Labs. This is a high impact systems role focused on build systems, testing infrastructure, and release and rollout pipelines, the critical path that determines how code moves from local development to production. You will define and operate the systems that make our engineering organization fast, reliable, and scalable, in an environment where both the codebase and workloads are evolving quickly. You will be responsible for the architecture and operation of the systems that power developer velocity and production safety, making foundational decisions around build performance, dependency structure, test execution, and release reliability. This role is about turning complex, failure prone workflows into systems that are fast, correct, and reproducible, and setting the technical direction for how we build and ship software. This is a hands on role. You will design, build, and operate these systems directly.

Requirements

10 or more years of experience building and operating production systems at scale, with ownership of critical infrastructure.
Strong experience with build systems and dependency graphs such as Bazel, Buck, Pants, or similar, or the ability to quickly ramp on Bazel in a large monorepo environment.
Experience designing and improving build, test, and release pipelines, with a focus on performance, correctness, and reproducibility.
Strong systems understanding of how code moves from source to build to test to production.
Hands on experience debugging complex system issues, including build failures, dependency issues, test flakiness, and release regressions.
Experience owning systems with strict reliability and performance requirements.
Strong proficiency in at least one of Python, Go, or Rust, and comfort working across languages in a polyglot codebase.
Proven ability to define architecture and drive technical decisions end to end.
Strong judgment in balancing developer velocity, system complexity, and reliability.
Ability to operate effectively in ambiguous, fast moving environments with high ownership.
You have worked on systems where build performance, correctness, and reproducibility were first order concerns, not afterthoughts.

Nice To Haves

Deep experience with Bazel at scale, including remote caching, remote execution, and build graph optimization.
Experience designing hermetic and reproducible build systems.
Experience improving test infrastructure at scale, including eliminating flakiness and improving signal quality.
Experience building or operating release and rollout systems, including canarying, staged rollouts, and rollback mechanisms.
Experience instrumenting systems for observability and debugging of build, test, and release pipelines.
Experience in early stage or high growth environments.

Responsibilities

Own the design and evolution of the build, test, and release systems that power the platform.
Define architecture for a Bazel based monorepo, including performance, caching, and dependency graph scalability.
Improve build performance and correctness, including incremental builds, caching strategies, and graph optimization.
Design and operate test infrastructure, focusing on reliability, isolation, and signal quality.
Build and improve release and rollout systems, including deployment pipelines, canarying, and rollback.
Improve end to end developer velocity, from local iteration to production deployment.
Debug and resolve complex issues across the pipeline, including build failures, dependency issues, test flakiness, and release regressions.
Establish standards for reproducibility, observability, and operability across build and release systems.
Identify and eliminate systemic failure modes across the development lifecycle.
Contribute broadly across infrastructure and reliability work when needed.
Mentor engineers and raise the bar for system design and technical decision making.