Flight Control Law Engineer (Internship)

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 Control Law 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, integration, and test flight control laws for all phases of operation including autotaxi, auto-takeoff, autoland, and automatic rollout.

Responsibilities :
• Design, analyze and implement ground and flight control laws for gate-to-gate aircraft operation
• Develop and refine simulation models required for control system verification
• Perform linear analysis of control laws to evaluate stability, robustness, and performance
• Integrate and verify control 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, robotics engineering, or similar field of study
• A solid understanding of fundamentals -- engineering math, kinematics, dynamics, and classical control theory
• 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, electrical engineering, or similar advanced degree
• Experience in one or more of the following areas: Aircraft modeling and dynamics, control theory, optimization
• 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]