S

STR

Defense, intelligence, homeland security R&D contractor

Lead Applied AI Engineer

Applied Machine LearningPosted on Nov 10
Full-timeArlington County, Arlington, VA, USA$180k - $230kIn-person

About the Job

Requirements

  • PhD with at least 2 years, MS with at least 6 years, or BS with at least 8 years of relevant experience in computer science, software engineering, computer engineering, or a related technical discipline.
  • Ability to obtain and maintain a Top Secret security clearance; U.S. citizenship is required by the U.S. government.
  • Experience leading software development efforts, major workstreams, or complex subsystems, including defining tasks and subtasks, coordinating contributors, managing technical interfaces and risks, and communicating progress and tradeoffs to stakeholders.
  • Experience translating customer needs into requirements, designs, development and test plans, and integrated capabilities; experience managing interfaces among software, AI/ML, RF, communications, hardware, data, and deployment components.
  • Experience applying AI/ML to operational problems involving sensor, time-series, RF, communications, or other non-textual data.
  • Proficiency in Python, C++, Java, Go, or a similar programming language, with experience developing and maintaining production-quality software.
  • Experience with Git, code review, automated testing, CI/CD, containers, issue tracking, documentation, and secure software-development practices.
  • Active clearance is listed as an additional advantage: Secret, Top Secret, or TS/SCI security clearance.

Responsibilities

  • Lead development and delivery of AI/ML, RF sensing, and communications/networking capabilities from requirements definition through implementation, integration, testing, demonstration, deployment, and sustainment.
  • Convert customer objectives into requirements, architectures, development plans, milestones, performance measures, and acceptance criteria; architect and evaluate AI/ML-enabled RF, communications, and networking solutions, including 5G/6G AI-RAN capabilities, against mission performance, latency, reliability, spectrum efficiency, security, and deployability needs.
  • Lead and mentor engineers and researchers; collaborate with systems engineers, RF/communications researchers, DevSecOps personnel, and mission partners; communicate technical status, decisions, risks, and tradeoffs.
  • Decompose complex work into actionable tasks and subtasks; manage dependencies, technical risks, interfaces, and progress toward program objectives.
  • Design and oversee architectures spanning RF and sensor-data pipelines, AI/ML integrations, services, APIs, databases, user interfaces, Open RAN integrations, and deployment infrastructure.
  • Lead development of RF sensing and communications capabilities such as spectrum sensing, signal classification, interference mitigation, channel estimation, beam management, adaptive links, and passive-radar processing, as applicable to project needs.
  • Lead design reviews, code reviews, integration, testing, customer demonstrations, and release readiness; ensure systems meet reliability, security, maintainability, and performance requirements, including high-throughput, low-latency edge AI workflows such as Layer 1/Layer 2 functions where applicable.
  • Contribute technical content to proposals, customer engagements, and transition planning while ensuring delivered capabilities are reusable and mission relevant.

Desired Qualifications

  • Experience with RF signal processing, wireless communications, 5G/6G RAN, O-RAN/AI-RAN, waveform generation/adaptation, or edge AI.
  • Experience designing system or software architectures for distributed, data-intensive, real-time, cloud, on-premises, edge, RF sensing, or communications systems.
  • Experience with digital signal processing, software-defined radios, PHY/MAC processing, or RF sensing.
  • Familiarity with 5G/6G or Open RAN architectures and deployment of optimized models to edge AI/ML accelerators.
  • Experience developing high-throughput, latency-sensitive software for PHY, MAC, scheduling, or radio-resource management.
  • Experience with CI/CD, infrastructure automation, container orchestration, cloud platforms, monitoring, logging, and security tooling.
  • Experience developing software in large, multi-team codebases using collaborative engineering practices.
  • Familiarity with message queues, stream processing, distributed computing, or microservices.
  • Experience supporting technical proposals, customer demonstrations, technical briefings, or capture activities with Department of War or Intelligence Community customers.
  • Experience using LLM-enabled development tools, such as Cursor or Codex, in a secure and effective engineering workflow.

About the Company

STR

Defense, intelligence, homeland security R&D contractor

STR is an employee-owned technology firm serving national security agencies with R&D, software development, and integration under large federal contracts. Its three core areas are Analytics & C2, Cybersecurity, and Sensors, delivering AI-driven decision support, digital twins of embedded systems, and software-defined RF/acoustic hardware for multi-domain operations. Notable projects include DARPA's JAWS, AI for swarming drones, and sonar spoofing DSP, showing deep defense-domain focus. Its goal is to provide deployable technologies that enhance joint all-domain operations and situational awareness, while exploring commercial uses like automated medical imaging.

Company size
1,001-5,000
Company stage
N/A
Total funding
$283M
Headquarters
Woburn, MA
Founded
2010

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