Embedded Engineer

Green Key Resources; New York (NY); On-site; USD 90,000 - 130,000; Full time

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

Physical AI and Robotics Engineers — New York City | Full-Time

A rapidly growing Physical AI company building at the intersection of AI, robotics, computer vision, software, and advanced hardware is hiring exceptional recent engineering graduates to work on hard real-world problems and help build the next generation of intelligent machines.

• 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.

What you'll need:

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

Nice to have:

• Computer vision, machine learning, or physical AI experience
• Robotics or autonomous systems work
• Embedded systems, controls, or firmware background