Senior AI Software Engineer
Role details
Job location
Tech stack
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., * 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.
Requirements
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), * 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.
Benefits & conditions
Expression offers competitive salaries and benefits, such as:
- 401k matching
- PPO and HDHP medical/dental/vision insurance
- Education reimbursement up to $10,000/yr
- Complimentary life insurance
- Generous rollover PTO and 11 days of holiday leave
- Onsite gym facility and trainer
- Commuter Benefits Plan
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