Embedded AI & Robotics Engineer - Systems & Vision

Green Key Resources

New York (NY)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Green Key Resources is seeking Physical AI and Robotics Engineers for a New York City full-time position. The role blends AI, robotics, computer vision, software, and hardware to tackle real-world problems and builds the next generation of intelligent machines.

You will join an ambitious engineering team spanning software and hardware with early ownership and impact from day one, addressing embedded systems, autonomy, and controls across interdisciplinary projects.

Qualifications

  • BS or MS in Robotics, Computer Science, AI/ML, Electrical or Firmware Engineering, or Controls/Systems Engineering.
  • A track record of building things through internships, research, robotics teams, academic projects, or personal projects.
  • Interest in working across the software and hardware boundary.

Responsibilities

  • Join an ambitious engineering team working across both software and hardware, with the chance to make an immediate impact.
  • Contribute to systems spanning computer vision, autonomy, embedded engineering, and controls rather than staying in a single lane.
  • Help bring AI into the physical world on a team where early-career engineers get real ownership from day one.

Skills

Robotics/CS/EE degree
Hands-on projects
SW/HW crossover
Embedded/Controls

Education

BS or MS in Robotics, Computer Science, AI/Machine Learning, Electrical or Firmware Engineering, or Controls/Systems Engineering

Tools

Computer vision
Autonomy

Job description

Green Key Resources is seeking Physical AI and Robotics Engineers for a New York City full-time position. The role blends AI, robotics, computer vision, software, and hardware to tackle real-world problems and builds the next generation of intelligent machines.

You will join an ambitious engineering team spanning software and hardware with early ownership and impact from day one, addressing embedded systems, autonomy, and controls across interdisciplinary projects.

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