19 hours ago
Base Salary
$330k - $500k/yr
Responsibilities
- Define the technical vision, architecture, and roadmap for autonomy capabilities involving RF sensing, perception, state estimation, sensor fusion, decision logic, guidance, navigation, and vehicle control.
- Lead advanced radar and RF signal-processing algorithm development, including waveform design, adaptive beamforming, direction finding, target detection and tracking, clutter mitigation, electronic protection, and sensor optimization.
- Serve as the senior technical authority for autonomy and RF system performance, leading trade studies, requirements decisions, architecture reviews, algorithm reviews, and technical risk resolution.
- Establish simulation, modeling, and verification approaches covering RF scene generation, electronic attack and protection, sensor models, six-degree-of-freedom vehicle simulation, Monte Carlo analysis, software-in-the-loop, hardware-in-the-loop, and field-test correlation.
- Lead integration across autonomy, software, RF hardware, avionics, embedded computing, vehicle systems, flight sciences, systems engineering, test, and manufacturing.
- Translate mission and vehicle needs into requirements, performance budgets, interface definitions, algorithm specifications, verification plans, and measurable success criteria.
- Guide real-time algorithm implementations in MATLAB, Python, C, C++, DSP, embedded computing, and hardware-accelerated environments.
- Engage customers, partners, suppliers, and executive stakeholders on technical strategy, performance, risks, tradeoffs, test outcomes, and decisions.
- Mentor engineers, establish technical standards, recruit specialized talent, and improve algorithm development, systems engineering, modeling, verification, and test practices.
- Influence investment decisions, technical proposals, growth initiatives, and customer-facing technical engagements.
Requirements
- Bachelor’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, Applied Mathematics, Physics, Computer Science, or a related technical discipline.
- 15 or more years of professional experience in autonomy, radar, RF sensing, signal processing, guidance and navigation, sensor fusion, aerospace systems, robotics, or related complex technical fields.
- Technical leadership experience architecting, developing, integrating, and fielding advanced autonomous, RF sensing, radar, electronic warfare, avionics, aerospace, or defense systems.
- Expert knowledge of radar and RF signal processing, including waveform design, adaptive processing, beamforming, direction finding, target detection and tracking, clutter modeling, interference mitigation, and performance assessment.
- Experience developing and validating algorithms through high-fidelity end-to-end simulation involving sensor models, RF environmental models, vehicle dynamics, six-degree-of-freedom simulation, and operationally representative scenarios.
- Experience translating mission needs into requirements, performance allocations, interface definitions, algorithm specifications, verification plans, and test objectives.
- Substantial hands-on experience with MATLAB and Python, plus experience transitioning algorithms into C, C++, real-time DSP, embedded computing, or hardware-accelerated environments.
- Experience leading technical teams, mentoring engineers, driving design reviews, and resolving complex cross-functional technical issues.
- Strong communication skills and the ability to influence technical leaders, program leaders, customers, and executives through evidence-based recommendations.
- Ability to obtain and maintain a U.S. government security clearance.
- Preferred qualifications include a master’s degree or PhD; advanced adaptive signal processing expertise; electronic warfare and electronic protection experience; laboratory, chamber, ground, hardware-in-the-loop, field, and flight-test experience; systems-engineering lifecycle experience; recognized technical contributions; and experience building and leading multidisciplinary engineering teams.
- An active U.S. Secret or higher security clearance is preferred.
Benefits
- Full-time regular employees receive pay within the listed range, bonus, benefits, and equity.
- Temporary employees receive pay within the listed range and a temporary benefits package applicable after 60 days of employment.
- Offers are contingent on a cleared background and possible reference check.
- Military fellows and part-time employees are not eligible for benefits.
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.