Senior Embedded Software Engineer - Edge AI & Modular Systems

Arcfield; Chantilly (VA); On-site; USD 102,000 - 200,000; Full time

Job summary

Arcfield is seeking a Senior Embedded Software / Edge AI Engineer to develop a modular software infrastructure for a VITA 90/VNX+ hardware ecosystem. You will build HALs, interfaces, and C++ services enabling RF sensors, FPGAs, PNT components, and edge AI workloads on Embedded Linux with TensorRT and ONNX runtimes.

Expect close hardware/software integration and multi-vendor collaboration. You will translate SOSA/MOSA/MORA/VITA requirements into robust APIs, support hardware bring‑up, and deploy

Qualifications

• Strong production experience with C/C++ for embedded, real-time, or mission-critical systems.
• Experience with hardware bring-up, device integration, board-support software, device trees, bootloaders, interrupts, DMA, and low-level hardware interfaces.
• Experience designing modular C++ interfaces, HALs, plugins, middleware, or other hardware-independent software architectures.
• Experience integrating processors, FPGAs, RF devices, sensors, PNT components, or custom electronics using PCIe, Ethernet, SPI, I2C, UART, or similar technologies.
• Python proficiency for automation, data processing, integration testing, and embedded or edge computing workflows.
• Experience integrating ML models or inference runtimes into embedded or edge environments; TensorRT, ONNX Runtime, TensorFlow Lite, OpenVINO, PyTorch, or TensorFlow experience is desirable.
• Experience with SOSA, MOSA, MORA, VITA 90/VNX+, VITA 49/VRT, VPX, VICTORY, pntOS, chassis management, RF/EW/NAVWAR, or sensor-fusion applications is desirable.
• Experience with HIL testing, automated testing, system integration, and complex multi-vendor systems.
• Must possess and be able to maintain a U.S. DoD Secret Security Clearance.

Responsibilities

• Architect modular software infrastructure that moves PCIe, Ethernet, RF, navigation, telemetry, and sensor data between VITA 90/VNX+ modules.
• Translate SOSA, MOSA, MORA, and applicable VITA requirements into C++ APIs, middleware, interface controls, plugins, and HALs that isolate applications from vendor-specific hardware.
• Develop production C/C++ software for Embedded Linux, RTOS, and bare-metal environments, including device integration, device trees, boot sequences, interrupts, DMA paths, and board-support software.
• Support hardware bring-up and integration of processors, FPGAs, RF devices, sensors, PNT components, and custom electronics using JTAG and laboratory diagnostic equipment.
• Integrate PCIe, Ethernet, SPI, I2C, UART, and mission-specific interfaces, and develop low-copy or zero-copy data paths for I/Q, imagery, telemetry, navigation, and sensor data.
• Integrate pntOS and vendor software, including development of custom plugins and interfaces supporting modular PNT and mission applications.
• Partner with ML engineers to deploy trained models into real-time C/C++ applications on SWaP-constrained CPU/GPU platforms using TensorRT, ONNX Runtime, TensorFlow Lite, OpenVINO, or similar runtimes.
• Develop onboard preprocessing and IPC pipelines supporting anomaly detection, RF classification, navigation fusion, system-health monitoring, and NAVWAR situational awareness.
• Implement chassis telemetry, module discovery, fault response, card resets, and graceful degradation using VITA 46.11, IPMI, BMCs, or related protocols.
• Support automated unit, integration, regression, HIL, and system testing, along with reproducible build, release, and CI/CD environments.

Job description

Arcfield is seeking a Senior Embedded Software / Edge AI Engineer to develop a modular software infrastructure for a VITA 90/VNX+ hardware ecosystem. You will build HALs, interfaces, and C++ services enabling RF sensors, FPGAs, PNT components, and edge AI workloads on Embedded Linux with TensorRT and ONNX runtimes.

Expect close hardware/software integration and multi-vendor collaboration. You will translate SOSA/MOSA/MORA/VITA requirements into robust APIs, support hardware bring‑up, and deploy