Senior AI Software Engineer

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-peer communication services supporting decentralized collaboration across heterogeneous edge devices.
• Implement secure synchronization, workload distribution, and fault-tolerant processing across multiple edge computing nodes.
• Lead software integration across embedded Linux systems, containerized services, edge compute devices, and cloud infrastructure.
• Establish software architecture standards, CI/CD pipelines, testing frameworks, DevSecOps practices, and engineering best practices.
• Collaborate closely with AI engineers to integrate machine learning inference capabilities into production software.
• Produce technical documentation, software architecture artifacts, interface specifications, and engineering design documentation.
• Support technical demonstrations, customer engagements, and prototype evaluations.
• Mentor junior engineers while maintaining significant hands-on software development responsibilities.

Qualifications

• Bachelor degree in Computer Science, Software Engineering, Electrical Engineering, Data Science, or related fields. An advanced degree is preferred.
• 10+ years of professional software engineering experience designing and building distributed software systems.
• Demonstrated experience serving as technical lead of complex software development efforts.
• Strong Python experience including, asyncio and asynchronous programming, FastAPI, Pydantic, type hinting, and modern development practices.
• Experience developing distributed systems, microservices, or event-driven architectures.
• Proven experience implementing retrieval architectures.
• Experience deploying applications using Docker and cloud-native services within AWS or Azure.
• Experience implementing CI/CD pipelines using GitLab CI, GitHub Actions, or similar automation platforms.
• Experience with Kubernetes, Infrastructure as Code (Terraform and Helm, or equivalent), and modern cloud-native deployment practices.
• Experience integrating hardware and software systems.
• Experience designing resilient software systems capable of operating under degraded or intermittent network conditions.
• Strong written and verbal communication skills with the ability to produce technical documentation and communicate effectively with technical and executive stakeholders.

Preferred Qualifications

• Experience with Software Defined Radio (GNU Radio, USRP, Ettus, SoapySDR, UHD, etc.)
• Experience developing edge computing applications.
• Experience with embedded Linux.
• Experience supporting DoD, Intelligence Community, or Federal programs.
• Experience with distributed data synchronization technologies.
• Experience with low-latency data processing pipelines.
• Experience working with autonomous systems, ISR, electronic warfare, or sensor fusion applications.
• Experience integrating AI/ML inference into operational software systems.
• Experience supporting National Security or Federal Civilian customers.