📍 Covina, California
CUJO AI develops cybersecurity solutions for connected devices, focusing on home and enterprise networks. Its products include AI-driven security software that protects IoT devices and enhances network security, headquartered in the United States. The engineering team specializes in embedded systems and software development, tackling challenges in firmware security and network traffic analysis. With a focus on machine learning algorithms, CUJO AI engineers work on real-time threat detection and response, contributing to a safer digital environment for users.
Senior Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Embedded Linux
@ CUJO AI®
Senior Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
Software Engineer, Firmware
@ CUJO AI®
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CUJO AI develops cybersecurity solutions for connected devices, focusing on home and enterprise networks. Its products include AI-driven security software that protects IoT devices and enhances network security, headquartered in the United States. The engineering team specializes in embedded systems and software development, tackling challenges in firmware security and network traffic analysis. With a focus on machine learning algorithms, CUJO AI engineers work on real-time threat detection and response, contributing to a safer digital environment for users.
CUJO AI® operates in the embedded systems space with focus on Telecommunications. 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 CUJO AI® should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Oct 2025 through Mar 2026
Hiring momentum at CUJO AI® is currently increasing, with 1
opening posted this month compared to 0 last month.
This upward trend often signals product development acceleration, team scaling, or new project initiatives.
Over the past 6 months, CUJO AI® averaged 1.0 job postings per month,
with peak hiring in Nov 2025 (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.
📈 New hiring activity
Consistent hiring velocity
Nov 2025
Linux is the most in-demand skill at CUJO AI®,
appearing in 100% of all job listings (past and present).
This universal requirement indicates Linux forms the core of CUJO AI®'s
technical stack across all engineering teams.
CUJO AI®'s technology stack spans 15 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
The broad technical diversity (15 technologies) suggests work on complex,
multi-domain projects requiring both hardware and software expertise.
Engineers joining CUJO AI® should combine depth in key areas with adaptability. Firmware development expertise is critical, especially for engineers skilled in bare-metal programming, RTOS development, and optimizing code for resource-constrained systems. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
CUJO AI® operates across 4 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.
Oslo, Norway serves as a primary hiring hub with 36% of all roles
(5 positions).
Engineering capabilities are distributed relatively evenly across locations, suggesting a
genuinely multi-site development model rather than a single headquarters-centric approach.
These employers share technical focus areas with CUJO 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.
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