Flight Navigation Intern (Summer 2027)

Reliable Robotics
Mountain View, CA
On-site

Who this role is best for

Best suited to technically proficient students working in autonomous aviation systems, with a focus on simulation and sensor integration.

Best fit for

  • Undergraduate or graduate students with a strong foundation in engineering math and numerical methods
    — “a solid understanding of fundamentals -- engineering math, numerical methods, and state estimation”
  • Candidates with interest in autonomous flight systems and sensor integration
    — “work with a team of mission-driven engineers with experience across aviation, space, robotics and self-driving cars”
  • Individuals with experience in simulation environments and hardware-in-the-loop testing
    — “Build infrastructure for automated simulation and hardware-in-the-loop testing of navigation sensors and algorithms”

Things to consider

  • U.S. citizenship or legal status is required due to export control restrictions
    — “U.S. export control laws”
  • The internship is contingent on compliance with U.S. government authorization for access to controlled information
    — “the applicant’s capacity to perform in compliance with U.S. export control laws”

How to stand out

  • Highlight your experience in simulation modeling or sensor fusion in your resume and interview responses
    — “Improve simulation sensor models for evaluation of the navigation system”
  • Demonstrate your ability to work on complex, safety-critical systems
    — “design, implement, and test navigation systems”
  • Emphasize your communication skills and ability to collaborate with senior engineers
    — “Excellent written and verbal communication skills”
  • Showcase any experience with GNSS navigation or inertial systems in your application materials
    — “Experience in one or more of the following areas: sensor fusion and Kalman filtering, GNSS navigation, inertial navigation”
  • Demonstrate your proactive approach to tackling complex engineering challenges
    — “Proactive and motivated to tackle hard problems”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed and implemented navigation flight software
  • Improved simulation sensor models
  • Built infrastructure for automated testing
  • Developed flight test plans
Typical background
Aerospace engineeringElectrical engineeringNavigation systems

Skills & requirements

Required

Navigation Flight SoftwareSimulation Sensor ModelsAutomated TestingFlight Test PlansState EstimationC/c++Python

Preferred

Sensor FusionKalman FilteringGNSS NavigationInertial Navigation

Stack & domain

C/c++PythonCommunicationNavigationFlightAviationEngineeringRoboticsSelf-driving Cars

About the role

Original posting from Reliable Robotics via Ashby

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods — and eventually people — move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

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

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant’s capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to work@reliable.co

Source: Reliable Robotics careers (Ashby)

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