Robots that explore and work in space, plus the brand-new jobs of mining the Moon, refueling satellites, building lunar bases, and manufacturing in orbit.
Top pay: highest pay, longest training
Space Robotics Engineer: Builds the rovers, robot arms, and landers that explore other worlds and work in orbit. Typical pay $128k.
Space Mining Engineer: Plans how to dig up and process resources on the Moon and asteroids. Typical pay $120k.
Lunar Construction Engineer: Develops ways to build landing pads, roads, and shelters on the Moon, often by 3D printing with moon dirt. Typical pay $118k.
In-Space Manufacturing Scientist: Makes things in orbit that are better without gravity, like ultra-pure fiber optics, crystals for medicines, and printed tissues. Typical pay $120k.
Lunar Lander Engineer: Builds the spacecraft that touch down on the Moon carrying cargo, rovers, and eventually astronauts. Typical pay $135k.
Space Robotics Software Engineer: Writes the code that lets rovers and robot arms see, plan, and act on their own. Typical pay $133k.
Mid pay: solid pay, degree or apprenticeship
Space Robotic Arm Operator: Controls robotic arms on the space station from the ground to move cargo and help spacewalkers. Typical pay $105k.
Robotics Test Technician: Builds, wires, and tests robots and rovers in the lab. Typical pay $67k.
Rover Test Operator: Drives and tests rover twins on Earth in fake Mars landscapes before commands are sent to the real rover. Typical pay $82k.
Starter: fastest way in
Lunar Regolith Simulant Technician: Makes and tests fake moon and Mars dirt that engineers use to test rovers, drills, and construction. Typical pay $50k.
Large-Scale 3D Printer Operator: Runs the giant 3D printers that build structures, including test habitats for NASA. Typical pay $48k.
Robotics Lab Assistant: Helps engineers in space robotics labs build prototypes and run experiments. Typical pay $42k.
Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.