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Controls Engineering Intern / Student Researcher - Winter 2026
Antares Nuclear · Internships
- Pay
- $34 – $36 per hour
- Where
- Los Angeles
- Posted
- Aug 31
At Antares, our long-term mission is to make clean energy abundant from Earth to the Asteroid Belt. We’re fueled by the belief that advanced nuclear energy can strengthen our military, solve the climate crisis, elevate global living standards, and expand humanity's presence in outer space. To achieve our mission, we’re building mass-producible, inherently safe, deployable microreactors that can be used terrestrially, underwater, and in space.
The Antares team hails from SpaceX, the White House, the Pentagon, the Department of Energy, MIT, Rigetti Computing, General Atomics, Relativity Space, Ursa Major, and National Laboratories like Idaho, Oak Ridge, Los Alamos, and Savannah River.
What you'd do
- Develop and tune classical controllers for actuation and thermal/electromechanical systems
- Build time-domain models of physical systems from first principles and experimental data
- Design controllers using Laplace-domain tools, including transfer functions, poles/zeros, bandwidth, stability margins, and step-response analysis
- Compare model predictions against experimental behavior, work with hardware responsible engineers to interpret test results, and iterate on controller design
- Iterate on digital twins using field test data and multiphysics simulation results
What they want
- Current master’s student or junior/senior undergraduate in mechanical engineering, electrical engineering, robotics, controls, aerospace, or related field
- Strong understanding of classical control theory
- Experience with time-domain modeling and Laplace-domain control design
- Ability to move between continuous-time and discrete-time control representations, including converting Laplace-domain models into time-steppable simulations suitable for controller implementation and numerical analysis
- Familiarity with PID control, transfer functions, stability, bandwidth, and transient response
- Hands-on experience with actuation systems such as motors, heaters, valves, servos, linear actuators, or similar hardware
- Comfortable working with sensors, DAQs, electrical drive hardware, and experimental test setups
- Strong Python programming experience, including building reusable simulation components, numerical test harnesses, and controller validation tools beyond basic array manipulation