Senior Software Development Engineer – Embedded Wireless SDR & Analytics

Trabus Technologies•San Diego, CA

4d•Hybrid

About The Position

Trabus Technologies (TRABUS) has an opportunity for a Senior Software Development Engineer to architect and build embedded control and management software and real-time operational analytics for next-generation Software-Defined Radio (SDR) wireless mesh systems. In this role, you will bridge low-level wireless radio control logic with high-level system management. You will implement digital signal processing (DSP) control algorithms for transmitting and receiving wireless waveforms while establishing end-to-end system KPIs, telemetry pipelines, and real-time event alerting.

Requirements

7+ years of hands-on software engineering experience.
Advanced proficiency in C++ (17/20), C, and backend languages such as Python, Go, or Rust.
In-depth knowledge of SDR architecture, DSP control interfaces, RF state machines, and transceiver control protocols.
Expertise in designing and scaling APIs and serialization formats such as JSON and Protocol Buffers.
Demonstrated experience processing time-series metric streams, defining RF network KPIs, and building telemetry software pipelines.
Experience with embedded database solutions such as SQLite, TimescaleDB, InfluxDB, or Redis optimized for resource-constrained hardware.
U.S. Citizenship is required.

Nice To Haves

Ability to obtain an active DoD Security Clearance (Secret or Top Secret/SCI).
Experience with cloud-to-edge telemetry frameworks such as Prometheus, Grafana, MQTT, or Kafka.
Familiarity with defense radio standards, tactical data links, or software frameworks.

Responsibilities

Design, implement, and maintain low-level embedded software for real-time control, configuration, and state monitoring of SDR hardware and RF front-ends.
Architect high-performance APIs and services to manage system telemetry, remote node configuration, and external Command & Control (C2) integrations.
Build edge analytics pipelines to process and expose critical network KPIs, including RSSI, SINR, packet error rates, mesh link latency, and spectral efficiency, for dynamic network management.
Optimize embedded relational and time-series databases to log high-volume operational metrics, store persistent state data, and execute low-latency local telemetry queries.
Partner with security and networking teams to enforce zero-trust encryption standards across management interfaces and API payloads over secure RF channels.
Lead architectural decisions for control software, mentor team members, and interface with hardware/RF engineers to translate system requirements into reliable software deliverables.