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Flight Guidance Intern (Summer 2027)

Intern in Flight Guidance Engineering to support the design and testing of autonomous flight systems.

Location
Mountain View, CA, United States
Compensation
Not disclosed
Level
intern
Type
internship

Posted by employer 16 hours ago

First seen on Joblaze 6 hours ago

Last verified on the company career page 6 hours ago

Skills & Technologies

C++ Python Flexible on stack

What you'll build

  • Design guidance system features
  • Implement flight guidance algorithms
  • Build infrastructure for automated simulation
  • Integrate and verify guidance system features
  • Develop flight test plans

Must have

  • Currently enrolled as a junior or senior in an undergraduate program
  • Solid understanding of engineering math, kinematics, and dynamics
  • Proficient in C++ and Python
  • Proactive and motivated to tackle hard problems
  • Excellent written and verbal communication skills

Nice to have

  • Currently enrolled in a graduate program
  • Experience in motion planning, optimization, control theory, probability theory
  • Experience developing software for safety critical applications

Practical constraints

  • Access to information subject to U.S. export controls
  • Documentation required to establish U.S. person status

Requirements

Education
Bachelor's degree

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Joblaze summary

The Flight Guidance Intern at Reliable Robotics will assist in the design, implementation, and testing of guidance systems for autonomous flight. Key skills include proficiency in C++ and Python, along with a solid grasp of engineering fundamentals such as kinematics and dynamics. This role is ideal for undergraduate juniors or seniors in aerospace or robotics engineering, as well as graduate students with relevant experience in motion planning or control theory. The team is composed of engineers with diverse backgrounds in aviation and robotics, focused on enhancing safety in air transportation.

Joblaze insights

  • Listed today — first seen on Joblaze November 14, 2026. Last confirmed on Reliable Robotics Corporation's careers page November 14, 2026.
  • Python appears in 20.8% of 658 comparable intern other roles in United States; C++ appears in 8.7% of 658 comparable intern other roles in United States.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: C++, Python.
What seniority level is this role?
Reliable Robotics Corporation targets intern candidates for this position.
Is this full-time or contract?
Internship for this Flight Guidance Intern (Summer 2027) role at Reliable Robotics Corporation.

From the original posting

As a Flight Guidance Engineering Intern at Reliable Robotics, you will work alongside a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to support our autonomous flight systems. You will contribute to the design, implementation, and testing of the guidance system, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

  • Design guidance system features that interface seamlessly with flight control systems and pilot displays

  • Implement flight guidance algorithms in flight software and validate in simulation

  • Build infrastructure for automated simulation and hardware-in-the-loop testing of guidance algorithms

  • Integrate and verify guidance system features in software-in-the-loop and hardware-in-the-loop test environments.

  • Develop flight test plans and conduct post-test data review.

Basic Success Criteria

  • Currently enrolled as a junior or senior in an undergraduate program in aerospace engineering, robotics engineering, software engineering, or similar field of study

  • A solid understanding of fundamentals -- engineering math, kinematics, and dynamics

  • Proficient in C++ and Python

  • Proactive and motivated to tackle hard problems

  • Excellent written and verbal communication skills

Preferred Success Criteria

  • Currently enrolled in a graduate program in aerospace engineering, robotics engineering, software engineering, or similar advanced degree

  • Experience in one or more of the following areas: motion planning, optimization, control theory, probability theory

  • Experience developing software for safety critical applications

Standard company text repeated across Reliable Robotics Corporation's postings is omitted here.

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