Staff Network Backend Engineer
Point One Navigation
| Company | Point One Navigation |
| Category | Engineering |
| Location | San Francisco |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Not stated |
| Salary | USD 215k–266k |
| Posted | 14 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (ashby) |
Description
STAFF NETWORK BACKEND ENGINEER
Location: San Francisco, CA / San Diego, CA – In Office 3 Days/Week
ABOUT POINT ONE NAVIGATION
Point One Navigation is on a mission to bridge the digital and physical worlds through precision location. Our RTK Corrections Network and Positioning Engine deliver centimeter-level accuracy and high-confidence positioning for vehicles, robots, drones, and devices across industries. We're API-first, developer-focused, and pushing the boundaries of autonomy and automation.
ROLE OUTCOME
Staff Network Backend Engineers own the design, implementation, and reliability of the backend services and APIs that power Point One's RTK Correction Network - from correction-data ingestion and distribution to the customer-facing APIs that deliver positioning at scale.
This is an ownership-first role: you will design and build distributed systems that serve real-time corrections to hundreds of thousands of devices in the field, with the latency, availability, and the correctness that mission-critical positioning demands.
The RTK Corrections Network is the backbone connecting our reference stations to every device that depends on us. This team is responsible for keeping it fast, reliable, and scalable: designing services that handle growing traffic, responding to evolving customer needs, and ensuring the network stays observable, tested, and production-ready as it grows.
SUCCESS IN THIS ROLE MEANS:
- Backend services are robust, performant, and scalable across a growing base of devices, customers, and geographies.
- Real-time corrections are delivered with low latency and high availability, even under load and partial failure.
- APIs are well-designed, well-documented, and easy for customers and internal teams to build on.
- Engineering decisions reflect a deep understanding of real-world constraints - latency, throughput, reliability, scale, and cost.
- Customer challenges are met with well-designed, durable solutions.
- Observability and testing are treated as first-class responsibilities, giving the team and customers confidence in every release.
IMMEDIATE AREAS OF FOCUS
Own Backend Services and APIs
- Lead design, implementation, and optimization of backend services that power the RTK Corrections Network and customer-facing APIs.
- Build and evolve API-first services that are clear, well-documented, and reliable for internal and external developers.
- Break down high-level goals into concrete tasks, schedules, and milestones, and hold yourself accountable for delivering against them.
- Drive performance and efficiency improvements across the request path - latency, throughput, and cost.
- Ensure the service stack is well-structured, maintainable, and built to last as the product and customer base grow.
Scale the RTK Corrections Network
- Own the ingestion, processing, and distribution of GNSS correction data from reference stations to devices in the field.
- Design streaming and connectivity paths (e.g., NTRIP and similar protocols) that deliver corrections reliably and at low latency.
- Expand network capacity and coverage as new regions, stations, and customers come online.
Build Reliable Distributed Systems
- Design for high availability, graceful degradation, and recovery under partial failure.
- Own observability - metrics, logging, tracing, and alerting - so issues are caught and resolved before customers feel them.
- Identify and resolve bottlenecks and reliability risks early, particularly as traffic and scale grow.
Respond to Customer and Market Challenges
- Engage directly with evolving customer needs and translate them into well-designed, durable technical solutions.
- Collaborate with embedded, firmware, infrastructure, and customer-facing teams to deliver reliable end-to-end systems.
- Surface technical risks and tradeoffs early so architecture and delivery decisions reflect real-world constraints.
Own Testing and Verification
- Design a
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