Backend Engineer, Models

About the role

BACKEND ENGINEER, MODELS

San Francisco, CA | Full-Time | Onsite

ABOUT METER

Meter is building the next generation of networking infrastructure. We design and build the hardware, software, and systems that power enterprise networks, delivering connectivity as a utility rather than a collection of products that customers must integrate and manage themselves.

By owning the entire stack, from switches and wireless access points to firmware, cloud software, and network operations, we have a unique opportunity to fundamentally change how networks are built and operated.

Our ambition extends beyond simplifying networking. We're building autonomous systems that can understand, diagnose, and eventually operate real-world infrastructure. This requires a new class of AI models trained on the complexity of physical networks, supported by the infrastructure to continuously learn from production environments.

ABOUT THE ROLE

We're looking for a Backend Engineer to help build the foundational infrastructure powering Meter's AI Models team.

Our team is developing models that can reason about real-world networks, identify anomalies, diagnose failures, and take action through software. Making this possible requires more than model development. It requires robust systems that can transform massive volumes of real-world network data into reliable inputs for training, evaluation, and inference.

You'll build the backend systems and data infrastructure that connect Meter's physical networks to our AI models. This includes designing scalable data pipelines, building APIs and services, developing tools for model experimentation, and creating the infrastructure that allows research to become production intelligence.

This is a foundational engineering role with significant ownership and direct access to Meter's founders.. You'll work closely with model engineers, researchers, and engineers across Meter's hardware and software stack to build systems that don't yet exist.

WHAT YOU'LL DO

- Build foundational data infrastructure: Design and develop scalable systems for ingesting, processing, storing, and accessing massive volumes of network telemetry, configurations, events, and other operational data. Work across distributed systems, streaming data pipelines, and time-series databases to make complex network data accessible and actionable.

- Engineer for production scale: Architect and operate reliable, high-performance backend systems and cloud infrastructure capable of supporting large-scale data processing, model development, and real-time inference as Meter's network footprint expands.

- Develop backend services and APIs: Build the interfaces that connect production network data with model training, evaluation, experimentation, and inference workflows.

- Enable model development: Create reliable data pipelines, datasets, and tooling that allow model engineers to iterate quickly, run experiments, and evaluate model performance against real-world network behavior.