EXPRESSION

Senior AI Software Engineer

Washington, DC, US$180,000-$210,000Posted 9 days ago

Job Description

Expression is seeking an experienced Senior AI Software Engineer and Technical Lead to lead the development of a prototype platform that performs intelligent data processing, distributed inference, and resilient edge computing in communication-constrained environments. The platform integrates software-defined radio (SDR) technologies, edge AI, distributed systems, and modern software engineering practices to enable autonomous processing and decision support at the tactical edge.

The ideal candidate is an experienced hands-on engineer who enjoys building complex systems from the ground up. You are equally comfortable designing system architecture, writing production-quality code, integrating hardware and software components, and mentoring other engineers while remaining deeply involved in implementation.

Security Clearance

: Eligible to obtain Secret or Top Secret Clearance (U.S citizenship required)

Responsibilities

  • Lead the technical architecture and implementation of an edge-native intelligent processing platform supporting distributed sensing, edge inference, and resilient mission operations.
  • Design scalable software architectures supporting heterogeneous edge computing devices, software-defined radios, embedded compute platforms, and cloud-enabled mission services.
  • Develop high-performance backend services using Python, FastAPI, asynchronous programming, and modern distributed software engineering techniques.
  • Lead integration of Software Defined Radio (SDR) platforms (such as Ettus USRP, GNU Radio, or equivalent SDR ecosystems) into software pipelines for real-time data processing and analytics.
  • Design resilient distributed processing frameworks capable of operating under degraded, disconnected, intermittent, and bandwidth-constrained communications.
  • Develop intelligent data processing pipelines that reduce communication overhead through feature extraction, prioritization, and adaptive data management.
  • Design peer-to-pee...

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