Member of Technical Staff - Systems (Rust)

4/4/2026

Design and implement high-performance systems components in Rust for real-time robotic perception, planning, and control. Collaborate with robotics and infrastructure teams to build and optimize computational pipelines for embedded and edge hardware.

Working Hours

40 hours/week

Company Size

2-10 employees

Language

English

Visa Sponsorship

About The Company

LatentWorlds AI is building the deployment backend for physical AI. Our product is a robotics-native data and operations platform that captures multi-modal recordings, retrieves synchronized sensor and log slices, and produces reproducible datasets for debugging and training. Robotics teams lose too much time wrangling data pipelines instead of building their core product. We fix that, starting with reliable edge-to-cloud capture over unreliable networks and extending into incident replay, dataset versioning, and fleet-scale operational workflows. We deploy in managed cloud, customer VPC, hybrid, or on-prem environments, and integrate into your existing stack rather than replacing it. What we do: - Multi-modal capture and synchronized retrieval across sensors, state, and logs - Incident-to-replay workflows that give engineering teams exact context, fast - Versioned, traceable dataset exports with full provenance for reproducible training - Auditable operations with RBAC, retention controls, and audit trails LatentWorlds AI was founded by Cristian Meo, CEO, who completed his PhD cum laude at TU Delft in Generative AI with a focus on world modeling and model-based reinforcement learning, and Alejandro Daniel Noel, CTO, who spent 3.5 years at Google Cloud in Zurich where he built a product now deployed in millions of cars worldwide. We are currently onboarding design partners for 2026 pilots. If your team operates robot fleets in the field and needs reliable data infrastructure, get in touch!

About the Role

About LatentWorlds AI

LatentWorlds AI is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real-world environments and embodiments. Our mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the real world.

Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities—such as perception, spatial understanding, decision-making, and control— LatentWorlds AI allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.

About This Role

We're looking for an engineer with deep Rust expertise and strong algorithmic fundamentals to work on performance-critical systems. You'll build the low-level infrastructure that powers real-time robotic perception, planning, and control.

Core Responsibilities

Design and implement high-performance systems components in Rust.
Build and optimize data structures, algorithms, and computational pipelines for real-time robotics workloads.
Own performance-critical paths across the platform, from sensor processing to motion planning.
Contribute to the design of safe, concurrent systems that run reliably on embedded and edge hardware.
Collaborate with robotics and infrastructure teams to deliver integrated, production-quality solutions.

What We Look For

Strong Rust experience in production environments.
Deep understanding of algorithms, data structures, and computational complexity.
Experience with systems programming -- memory management, concurrency, real-time constraints.
Ability to reason about performance at the hardware level (cache behavior, SIMD, memory layout).
Track record of shipping reliable, well-tested systems code.

Preferred Qualifications

Contributions to notable Rust open-source projects.
Experience with robotics, real-time systems, or embedded platforms.
Background in competitive programming or algorithmic problem-solving.

Key Skills

RustSystems ProgrammingMemory ManagementConcurrencyReal-time SystemsAlgorithmsData StructuresComputational ComplexitySensor ProcessingMotion PlanningEmbedded SystemsEdge HardwareSIMDCache OptimizationRobotics