๐ San Diego, California
Shield AI develops autonomous systems and software solutions for defense and commercial applications, headquartered in San Diego, California. Their products include advanced drone technology and AI-driven software that enhances situational awareness and decision-making in complex environments. Engineering disciplines at Shield AI encompass embedded software development, hardware design, and systems engineering. Teams work on real-time operating systems, sensor integration, and machine learning algorithms to enable autonomous flight and data processing. With a focus on defense applications, Shield AI is positioned to address critical challenges in national security and public safety.
Staff Engineer, Software Embedded Applications
@ Shield AI
Senior Engineer, Software Embedded Applications
@ Shield AI
Senior Engineer, Software Embedded Applications
@ Shield AI
Senior Staff Engineer, Software Embedded Applications
@ Shield AI
Engineer II, Software Embedded Applications
@ Shield AI
Power Electronics - Staff Electrical Engineer
@ Shield AI
Senior Engineer, Embedded OS
@ Shield AI
Staff PCB Designer
@ Shield AI
Senior Software Engineer, Embedded Firmware
@ Shield AI
PCB Designer II
@ Shield AI
Embedded Engineering Fall 2026 Co-Op
@ Shield AI
Staff Engineer, Embedded Operating Systems
@ Shield AI
Staff Engineer, FPGA
@ Shield AI
Staff Engineer, FPGA
@ Shield AI
Staff Firmware Engineer, FPGA - Next Gen Aircraft
@ Shield AI
Staff Firmware Engineer, FPGA
@ Shield AI
Principal Embedded Software Architect
@ Shield AI
PCB Design Engineering Lead
@ Shield AI
Senior Antenna and Radome Engineer
@ Shield AI
Staff Engineer, Embedded Operating Systems
@ Shield AI
Embedded Software Engineer
@ Shield AI
Try adjusting your search criteria
Free forever • No spam • Leave anytime
Companies hiring in similar tech domains
14 openings
965 openings
12 openings
378 openings
17 openings
412 openings
Shield AI develops autonomous systems and software solutions for defense and commercial applications, headquartered in San Diego, California. Their products include advanced drone technology and AI-driven software that enhances situational awareness and decision-making in complex environments. Engineering disciplines at Shield AI encompass embedded software development, hardware design, and systems engineering. Teams work on real-time operating systems, sensor integration, and machine learning algorithms to enable autonomous flight and data processing. With a focus on defense applications, Shield AI is positioned to address critical challenges in national security and public safety.
Shield AI operates in the embedded systems space with focus on Software Development. While no positions are currently listed, embedded companies often hire in cycles tied to product launches, R&D phases, or contract milestones. Engineers interested in Shield AI should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Jan 2026 through Jun 2026
Shield AI's hiring pace has moderated recently (1 openings this month vs 4 last month),
which is common after major hiring pushes or as projects move from development to deployment phases.
Over the past 6 months, Shield AI averaged 1.8 job postings per month,
with peak hiring in May 2026 (4 openings).
For embedded systems roles, hiring activity typically correlates with product development cycles,
especially for firmware teams during pre-production phases and hardware engineers during prototyping.
๐ -75% change
Consistent hiring velocity
May 2026
C++ is the most in-demand skill at Shield AI,
appearing in 52% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
Shield AI's technology stack spans 47 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (47 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining Shield AI should combine depth in key areas with adaptability. The mix of hardware skills (PCB design, schematics) and firmware expertise (RTOS, embedded C) indicates full-stack embedded development where engineers work across the hardware-software boundary. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
Shield AI operates across 2 countries with 5
total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams,
expansion into new markets, or proximity to manufacturing and customer operations.
Dallas, United States serves as a primary hiring hub with 43% of all roles
(9 positions).
The significant presence in Dallas indicates a major engineering hub,
though other locations also play important roles in product development.
These employers share technical focus areas with Shield AI and are actively hiring embedded engineers. Exploring multiple companies helps candidates understand market compensation, compare technical challenges, and identify the best cultural and technical fit for their career goals.
Weekly digest of new embedded systems roles. No spam, just real opportunities.
Free forever • No credit card • 2000+ engineers signed up