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About the Role

As a Cloud Infrastructure Engineer, you'll build the networking stack that connects robots to GPUs, teleoperators, and customers’ companion apps. You’ll design and implement protocols that keep those connections working on imperfect home networks, and the backend that manages a growing fleet across many customers. The core problems are real-time: routing a robot to available GPU capacity with latency low enough for closed-loop inference, keeping teleoperation streams stable through jitter and packet loss, and degrading gracefully when the network does. What you build directly sets how responsive every robot in the fleet feels day to day.

Responsibilities

Design backend services that coordinate robots, cloud compute, teleoperators, and customer applications across unreliable networks and partial failures.
Build for fault tolerance, idempotency, consistency, scalability, and graceful degradation as the fleet grows.
Build low-latency serving infrastructure for models robots call mid-task, including connection management, GPU scheduling and utilization, autoscaling, load balancing, and graceful degradation when connectivity or compute capacity is constrained.
Develop APIs and services for fleet, customer, and robot state, backed by well-designed data models and production databases.
Own schema evolution, migrations, performance, backup, and recovery as these systems scale.
Build authentication, authorization, device identity, credential provisioning and rotation, and secure communication between robots and cloud services, partnering with Security from architecture through deployment.
Own low-latency media and control transport end-to-end: connection lifecycle, NAT traversal on real home networks, encrypted transport, congestion control, jitter handling, and the latency budget teleoperation depends on.
Manage fleet telemetry: Ingestion, storage, and query of logs and metrics from every robot in the field, serving engineering, fleet operations, and ML data needs.
Define SLOs and build monitoring, alerting, deployment, and incident-response systems that keep critical fleet services available and make failures diagnosable.

Requirements

3+ years building backend or media infrastructure in production, with real ownership of systems under load.
Experience building or operating low-latency streaming systems over UDP, debugging NAT traversal failures across home routers, reasoning about congestion control, and reading protocol source.
Experience operating production cloud infrastructure using infrastructure-as-code and containerization tools such as Terraform/OpenTofu, Ansible, Docker, and Kubernetes.
Hands-on experience deploying, monitoring, and debugging services in production.
Deep understanding of UDP/TCP, NAT traversal, STUN/TURN/ICE, congestion control, packet loss, jitter, and the realities of consumer Wi-Fi and home networking.
Familiarity with TLS/mTLS, PKI, certificates, KMS/HSMs, secrets management, device identity, and credential provisioning and rotation for connected devices or distributed systems.
Experience with schema design, migrations, and operational care for databases.

Skills

Backend infrastructure
Media infrastructure
Low-latency streaming systems
UDP
NAT traversal
Congestion control
Cloud infrastructure
Infrastructure-as-code
Containerization
Terraform
OpenTofu
Ansible
Docker
Kubernetes
UDP/TCP
STUN/TURN/ICE
Consumer Wi-Fi
Home networking
TLS/mTLS
PKI
Certificates
KMS/HSMs
Secrets management
Device identity
Credential provisioning
Credential rotation
Schema design
Database migrations
Production databases
Codecs
Rate control
Jitter buffers
RTC projects
Inference serving
Robotics fleet infrastructure
IoT fleet infrastructure
GPU infrastructure
Model serving
Inference scheduling
High-performance compute workloads

Experience Level

3+ years

About the Company

Weave was founded to build the robots we’d want to have in our own home.
We believe the next generation of robotics will transform everyday life by enabling people to do more and to reclaim time to spend on what’s important.
Our robots are already operating in real homes and businesses, giving us the opportunity to rapidly improve from real-world experience.
With a growing team, strong customer demand, and capital for expansion, we’re entering an exciting stage of growth—and we’re looking for people with exceptional talent and standards to help bring home robotics to millions of households.