Neuron Edge AI logo

Neuron Edge AI

Neuron Edge AI

Scalable physical AI intelligence platform that transforms human experience

๐Ÿ“ Folsom, California

1 Open Position
1 Active Location
Posted
Top Employer

About Neuron Edge AI

Neuron Edge AI develops hardware solutions for robotics, focusing on embedded engineering and CAD real-world simulation. The company likely targets applications in robotics and automation, although specific products are not detailed. Engineering efforts involve hardware design and simulation, with a focus on integrating AI capabilities into robotic systems. Limited information is available regarding the company's size, specific projects, or market position.

Current Job Openings

1 jobs

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Industries
Robotics Consumer Electronics

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Company Info
Employees 1-10
Founded 2025
Glassdoor 4.2
Connect
Active Hiring Locations
๐Ÿ“ Chennai, India ๐Ÿ‡ฎ๐Ÿ‡ณ 1
Top Roles
Embedded Systems Engineer (1)
Key Skills
Embedded Firmware PCB Robotics Communication
Seniority Levels
entry-level (1)
Work Arrangement
On-site (1)

About Neuron Edge AI

Neuron Edge AI develops hardware solutions for robotics, focusing on embedded engineering and CAD real-world simulation. The company likely targets applications in robotics and automation, although specific products are not detailed. Engineering efforts involve hardware design and simulation, with a focus on integrating AI capabilities into robotic systems. Limited information is available regarding the company's size, specific projects, or market position.

Neuron Edge AI Career Opportunities

Neuron Edge 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 (80.0/100), Neuron Edge AI offers competitive compensation and strong career development paths in embedded engineering.

Neuron Edge AI Hiring Trends

* Data represents job posting activity over the past 6 months: Feb 2026 through Jul 2026

Hiring momentum at Neuron Edge 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, Neuron Edge AI averaged 0.2 job postings per month, with peak hiring in Jul 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.

Current Month
1 job

๐Ÿ“ˆ New hiring activity

6-Month Average
0.2 jobs/month

Consistent hiring velocity

Peak Activity
1 jobs

Jul 2026

Required Skills at Neuron Edge AI

Embedded is the most in-demand skill at Neuron Edge AI, appearing in 100% of current job listings. This universal requirement indicates Embedded forms the core of Neuron Edge AI's technical stack across all engineering teams.

Neuron Edge AI's technology stack spans 5 distinct skills and tools, reflecting the multifaceted nature of embedded systems development. The focused skill requirements suggest specialized work in specific embedded domains.

Embedded
100% of roles
100%
Firmware
100% of roles
100%
PCB
100% of roles
100%
Robotics
100% of roles
100%
Communication
100% of roles
100%

Engineering Roles at Neuron Edge AI

Neuron Edge AI is currently hiring for a focused Embedded Systems Engineer position, likely to address a specific technical gap or project need.

Embedded Systems Engineer
1 position (100%)
1

Experience level distribution: 100% of openings target entry-level-level engineers.

Where Neuron Edge AI is Hiring

Neuron Edge 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.

๐Ÿ‡ฎ๐Ÿ‡ณ
Chennai, India
1 active job
1

Companies Similar to Neuron Edge AI

These employers share technical focus areas with Neuron Edge 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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