Be an Early Applicant
We believe aircraft should fly themselves.
The Role
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 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
Learn more about the internship experience at Reliable Robotics from former interns: link
The location of the position is in Mountain View, CA. No travel is required. The estimated annualized salary for this position is $120,000.
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 [email protected]
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The Company
What We Do
Advanced automation will make aircraft safer, more available, more affordable and fundamentally transformative to the way goods and people move around the planet. Starting with a certification-forward approach, Reliable Robotics first demonstrated gate-to-gate fully automated operation of a Part 23 aircraft and is now working towards commercialization of technologies for Part 23 cargo and Part 25 passenger vehicles.
