The Future of Robotics Jobs: AI, Edge Computing & $500K Factory Robots
Автор: Chris Schwenk | Tech Jobber Podcast
Загружено: 2026-02-17
Просмотров: 498
Описание:
The robotics industry is about to change everything.
In this episode of the Tech Jobber Podcast, I sit down with robotics founder Yanzhi Zhao, who is building AI-powered pick-and-place robots for factories and warehouses.
We break down:
• Why AI is the missing piece in robotics
• How “Physical AI” actually works
• Vision-Language-Action (VLA) models explained
• Edge computing vs cloud robotics
• Why linear algebra matters for robotics engineers
• C++ vs Python in robotics development
• How robots calculate pressure and grip objects
• The future of humanoid robots
• Robotics startup opportunities in 2026
• How to break into robotics engineering
If you're interested in AI careers, robotics jobs, embedded systems, machine learning engineering, or startup opportunities in emerging tech — this episode is for you.
Robotics is no longer just hardware. The future is software-defined robots powered by neural networks, computer vision, and edge AI systems.
According to industry insiders, robotics and physical AI could be one of the fastest-growing tech sectors over the next 5–10 years — especially in logistics, manufacturing, and hazardous environments.
If you're good at math, programming, or problem-solving… this may be the industry to watch.
Topics covered:
Robotics engineering careers
AI robotics startups
Linear algebra in robotics
Embedded systems engineering
Machine learning for robotics
Edge computing
Vision-based object detection
Factory automation
Humanoid robots
Pick and place automation
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#Robotics #AI #TechCareers #MachineLearning #Engineering #PhysicalAI #EdgeComputing #StartupCareers
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