๐ Somerville, Massachusetts
Gaia AI develops AI-driven robotics solutions, focusing on perception technologies for autonomous systems. The company targets applications in robotics, likely serving industries such as logistics and manufacturing. Engineering efforts include computer vision, sensor fusion, and machine learning to enhance robotic perception capabilities. With a small team, Gaia AI emphasizes innovative approaches to real-time data processing and environmental understanding, although specific product details and headcount remain undisclosed.
Perception Robotics Engineer
@ Gaia AI
Perception Robotics Engineer
@ Gaia AI
Robotics Engineer - Perception
@ Gaia AI
Robotics Engineer - Perception
@ Gaia AI
Robotics Engineer - Perception
@ Gaia AI
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Gaia AI develops AI-driven robotics solutions, focusing on perception technologies for autonomous systems. The company targets applications in robotics, likely serving industries such as logistics and manufacturing. Engineering efforts include computer vision, sensor fusion, and machine learning to enhance robotic perception capabilities. With a small team, Gaia AI emphasizes innovative approaches to real-time data processing and environmental understanding, although specific product details and headcount remain undisclosed.
Gaia AI operates in the embedded systems space with focus on Forestry and Logging. 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 Gaia AI should monitor for openings in firmware development, hardware design, and systems architecture.
* Data represents job posting activity over the past 6 months: Nov 2025 through Apr 2026
Gaia AI's hiring pace has moderated recently (1 openings this month vs 2 last month),
which is common after major hiring pushes or as projects move from development to deployment phases.
Over the past 6 months, Gaia AI averaged 0.8 job postings per month,
with peak hiring in Mar 2026 (2 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 -50% change
Consistent hiring velocity
Mar 2026
LiDAR is the most in-demand skill at Gaia AI,
appearing in 100% of all job listings (past and present).
This universal requirement indicates LiDAR forms the core of Gaia AI's
technical stack across all engineering teams.
Gaia AI's technology stack spans 8 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining Gaia 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.
Gaia AI's engineering operations are concentrated in a single country across 1 location. A single-location focus enables tight team collaboration and simplified operations, particularly valuable for hardware-intensive development requiring shared lab facilities.
These employers share technical focus areas with Gaia 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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