Software Engineer, Cloud Infrastructure
San Francisco, CAFull-timePosted 2w ago
About the role
Cloud Infrastructure Engineer role at Weave Robotics focused on building the networking stack and real-time cloud infrastructure to connect home robots, teleoperation, and companion apps.
Responsibilities
- Build our distributed infra: 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.
- Serve cloud inference: 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.
- Build the product backend: 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.
- Secure robot-to-cloud communication: Build authentication, authorization, device identity, credential provisioning and rotation, and secure communication between robots and cloud services, partnering with Security from architecture through deployment.
- Build the real-time transport stack: 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.
- Fleet telemetry: Ingestion, storage, and query of logs and metrics from every robot in the field, serving engineering, fleet operations, and ML data needs.
- Own production reliability: Define SLOs and build monitoring, alerting, deployment, and incident-response systems that keep critical fleet services available and make failures diagnosable.
Qualifications
- 3+ years building backend or media infrastructure in production, with real ownership of systems under load.
- Real-time networking depth. You've built or operated low-latency streaming systems over UDP, debugged NAT traversal failures across home routers, reasoned about congestion control, and read protocol source when documentation ran out.
- Cloud infrastructure knowledge: Experience operating production cloud infrastructure using infrastructure-as-code and containerization tools such as Terraform/OpenTofu, Ansible, Docker, and Kubernetes, with hands-on experience deploying, monitoring, and debugging services in production.
- Networking fluency: 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.
- Cloud & device security: Familiarity with TLS/mTLS, PKI, certificates, KMS/HSMs, secrets management, device identity, and credential provisioning and rotation for connected devices or distributed systems.
- Production data experience: schema design, migrations, and operational care for databases customers depend on.
Skills
Required:backend developmentreal-time networkingcloud infrastructure (IaC, containers)Networkingsecurity for cloud/devicesproduction data management
Last updated Oct 7, 2026. Interested? Apply on the company site.

About Weave Robotics
Personal robots for the home--that ship in 2025
Making the world’s first personal robot that's built for the home. Our robot, Isaac, will autonomously tidy up endless messes, fold laundry, and care for your home while you’re away, and we’re shipping our first 30 in fall of 2025.
More open roles at Weave Robotics
- Robotics Software Engineer, Controls2w agoHybrid (San Francisco) · Engineering
- Marketing Lead2w agoHybrid (San Francisco, CA) · Marketing
- Mechanical Design Engineer, Mechanisms2w agoHybrid (San Francisco, CA) · Engineering
- ML Research Scientist, Robot Learning2w agoHybrid (San Francisco, CA)
- Principal Robotics Software Engineer2w agoSan Francisco, CA
