Principal Technical Director, AI-Enabled Spectrum Dominance
Job in
Seattle, King County, Washington, 98127, USA
Listed on 2026-07-06
Listing for:
Voyager Technologies
Full Time
position Listed on 2026-07-06
Job specializations:
-
Engineering
Systems Engineer, AI Engineer (Applied/Software), Electronics Engineer
Job Description & How to Apply Below
Overview
Voyager is a defense, national security and space technology company focused on advancing mission-critical solutions. We seek a Principal Technical Director, AI-Enabled Spectrum Dominance to lead the technical vision for advanced RF systems, software, algorithms, and agentic AI applications for space-based and terrestrial electromagnetic warfare and sensing.
Responsibilities- Technical Leadership & Vision:
Define and drive the technical roadmap for Voyager’s Spectrum Dominance portfolio across RF, EW, radar, and sensing programs, with emphasis on space-based active and passive RF systems. - AI-Driven RF Design:
Set the direction for applying Agentic Computational Engineering to RF hardware design, DSP algorithm development, and end-to-end RF system integration. - Agentic AI for RF Engineering:
Lead how AI agents are used across the RF design lifecycle, from generative antenna/front-end design to automated DSP algorithm synthesis and simulation-in-the-loop optimization. - ACE Platform Deployment:
Oversee deployment of Voyager’s ACE platform for RF-specific applications, enabling AI agents to autonomously design, simulate, evaluate, and optimize RF hardware and DSP subsystems. - Domain-Specific AI Agents:
Develop AI agents for RF engineering workflows, including electromagnetic simulation, transceiver architecture exploration, waveform design, interference analysis, and signal chain optimization. - Requirements & Integration:
Define requirements for agent orchestration and physics simulation integration (EM solvers, thermal analysis, signal integrity), and design-for-manufacturing constraints for space-qualified RF hardware. - Automated Simulation Loops:
Establish automated loops between RF/DSP design agents and high-fidelity physics solvers, including antenna patterns, RCS analysis, link budgets, and spectral performance. - Adoption of AI Workflows:
Promote AI-first workflows across RF engineering, including LLM-based tools to accelerate documentation, design reviews, test planning, and compliance verification.
- R&D Execution:
Lead complex, high-stakes R&D programs for next-generation space-based and terrestrial RF systems, managing technical risk and delivering solutions on schedule. - System Design & Testing:
Oversee design, analysis, and testing of advanced RF systems (satellite payloads, space-based SIGINT/ELINT, SAR, and passive RF sensing) including space environment considerations. - End-to-End System Architecture:
Architect complete RF systems bridging DSP algorithms, SDR hardware, FPGA/SoC platforms, and mission software for space and ground segments. - Productization & Commercialization:
Guide technologies from early concepts to productized solutions, coordinating with product and business teams on commercialization strategies and leveraging ACE for rapid iteration. - Team Building & Mentorship:
Build and lead a multidisciplinary engineering team; mentor engineers and researchers to foster rigor, creativity, and rapid iteration. - Cross-Functional Collaboration:
Partner with business development, capture teams, and other Voyager domain teams to ensure RF agentic capabilities integrate with the Generative Engine ecosystem.
- Bachelor’s degree in Electrical Engineering, Physics, Mathematics, or related field. U.S. citizenship with eligibility to obtain and maintain a U.S. Government clearance.
- Space-Based RF Systems:
Experience with space-based active and/or passive RF systems and the unique constraints of the space environment (radiation hardening, thermal management, power budgeting, long-duration reliability). - RF Systems & SDR Proficiency:
End-to-end RF system design experience and familiarity with modern SDR architectures; strong understanding of RF front-ends and digital subsystems. - DSP & RF ML:
Experience designing DSP and RF machine learning algorithms; applying AI/ML techniques to RF problems. - R&D Leadership:
Proven ability to lead multidisciplinary teams through full R&D life cycles from concept to prototype to deployment. - Domain Expertise:
Experience in SIGINT, EW, or Radar, with space-based applications preferred. - Programmatic Execution:
Familiarity with government R&D contracting and…
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