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Flight Navigation Intern (Summer 2027)

Join Reliable Robotics as a Flight Navigation Intern to support autonomous flight systems and enhance aviation safety.

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

Posted by employer 17 hours ago

First seen on Joblaze 6 hours ago

Last verified on the company career page 6 hours ago

Skills & Technologies

C++ C Python Flexible on stack

What you'll build

  • Design navigation flight software
  • Improve simulation sensor models
  • Build infrastructure for automated simulation
  • Integrate navigation system features
  • Develop flight test plans

Must have

  • Currently enrolled as a junior or senior in aerospace engineering or electrical engineering
  • Solid understanding of engineering math and numerical methods
  • Proficient in C/C++ and Python

Nice to have

  • Currently enrolled in a graduate program in aerospace engineering or electrical engineering
  • Experience in sensor fusion and Kalman filtering
  • Experience in GNSS navigation
  • Experience in inertial navigation

Practical constraints

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

Requirements

Education
Bachelor's degree
Visa
No sponsorship (stated in posting)

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

Joblaze summary

The Flight Navigation Intern at Reliable Robotics will engage in the design, implementation, and testing of navigation flight software, contributing to the development of autonomous flight systems. Key skills include proficiency in C/C++ and Python, along with a solid grasp of engineering fundamentals such as numerical methods and state estimation. This role is ideal for juniors or seniors in aerospace or electrical engineering programs, particularly those with experience in sensor fusion or GNSS navigation. The intern will collaborate closely with seasoned engineers in a mission-driven environment focused on enhancing aviation safety.

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 4.6% of 658 comparable intern other roles in United States.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: C, 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 Navigation Intern (Summer 2027) role at Reliable Robotics Corporation.

From the original posting

As a Navigation intern at Reliable Robotics, you will work with a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars to support our autonomous flight systems. Reliable Robotics has year-round internship opportunities for students pursuing an undergraduate or graduate degree in aerospace engineering, electrical engineering, or a similar field of study. Successful candidates will work alongside senior engineers to design, implement, and test navigation systems.

Responsibilities

  • Design, implement and test navigation flight software

  • Improve simulation sensor models for evaluation of the navigation system

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

  • Integrate and verify navigation 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, electrical engineering, or equivalent practical experience

  • A solid understanding of fundamentals -- engineering math, numerical methods, and state estimation

  • Proficient in any of C/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, electrical engineering, or similar advanced degree

  • Experience in one or more of the following areas: sensor fusion and Kalman filtering, GNSS navigation, inertial navigation

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

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