๐ Santa Clara, California
nEye.ai develops hardware solutions for AI-driven applications, focusing on advanced sensor technologies. The company is likely involved in creating systems that integrate machine learning with hardware for enhanced performance in various sectors. Engineering efforts at nEye.ai likely encompass electrical engineering and embedded systems design, addressing challenges in sensor integration and data processing. Specific details about their product offerings or company size are not publicly available.
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nEye.ai develops hardware solutions for AI-driven applications, focusing on advanced sensor technologies. The company is likely involved in creating systems that integrate machine learning with hardware for enhanced performance in various sectors. Engineering efforts at nEye.ai likely encompass electrical engineering and embedded systems design, addressing challenges in sensor integration and data processing. Specific details about their product offerings or company size are not publicly available.
nEye.ai currently has 1 active embedded systems position in 1 location. All positions are on-site, typical for hardware-focused roles requiring lab access and equipment. Recognized as a top-tier employer (85.0/100), nEye.ai offers competitive compensation and strong career development paths in embedded engineering.
* Data represents job posting activity over the past 6 months: Feb 2026 through Jul 2026
nEye.ai maintains steady recruitment patterns with 1
position this month,
suggesting consistent team growth and ongoing engineering needs.
Over the past 6 months, nEye.ai averaged 0.3 job postings per month,
with peak hiring in Jun 2026 (1 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.
โก๏ธ Stable pace
Consistent hiring velocity
Jun 2026
governance is the most in-demand skill at nEye.ai,
appearing in 50% of all job listings (past and present).
This skill is important but not universal, indicating diverse technical needs across different product lines or teams.
nEye.ai's technology stack spans 10 distinct skills and tools,
reflecting the multifaceted nature of embedded systems development.
This moderate technology stack indicates focused but varied engineering challenges.
Engineers joining nEye.ai should combine depth in key areas with adaptability. Strong hardware engineering skills are essential, particularly for engineers comfortable with circuit design, debugging, and working with development tools. Candidates with adjacent skills (version control, testing frameworks, communication protocols) typically advance faster by contributing across the development lifecycle.
nEye.ai is currently hiring for a focused Embedded Systems Engineer position, likely to address a specific technical gap or project need.
Experience level distribution: 100% of openings target senior-level engineers.
nEye.ai operates across 2 countries with 2
total hiring locations. Multi-geography recruitment typically indicates either distributed engineering teams,
expansion into new markets, or proximity to manufacturing and customer operations.
Kochi, Kerala, India, India serves as a primary hiring hub with 50% of all roles
(1 position).
The significant presence in Kochi indicates a major engineering hub,
though other locations also play important roles in product development.
These employers share technical focus areas with nEye.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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