Sr. Flight Control Law Engineer

Reliable Robotics; Seattle (WA); On-site; USD 215,000 - 300,000; Full time

Job summary

Reliable Robotics in Seattle is seeking a Sr. Flight Control Law Engineer to design, implement, and test autopilot and autoflight systems across flight phases.

You will integrate C/C++ flight software with real-world hardware, develop simulation models in Python, and work with the GNC team to meet stringent safety and certification requirements. Travel up to 20% may be required.

Qualifications

• MS in aerospace engineering, robotics, or equivalent field.
• 8+ years of hands on, professional experience developing and testing flight controls algorithms.
• Experience with flight dynamics simulation and model identification.
• Professional experience with developing C/C++ flight software and Python data reduction & analysis.
• Excellent written and verbal communication skills.

Responsibilities

• Establish autoflight and flight control system requirements.
• Interface with Pilots and Operations team to develop flight test plans, respond to squawks, and communicate design updates.
• Design and analyze flight control laws from conceptual design through implementation and certification.
• Develop simulation models to evaluate flight control system performance and stability.
• Implement control laws and algorithms in flight software.
• Test flight software in simulation, Monte Carlo, hardware-in-loop, and flight.

Skills

C/C++ flight software

Python data analysis

Flight controls algorithms

Simulation & modeling

Communication skills

Education

MS in aerospace engineering

PhD in aerospace engineering

Tools

Python

C/C++

MATLAB/Simulink

Job description

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 Sr. Flight Control Law Engineer at Reliable Robotics, you will be part of the Guidance, Navigation, and Control (GNC) Team. You will design, implement, integrate, and test flight control laws for all phases of operation including autotaxi, auto-takeoff, autoland, and automatic rollout. You integrate real-world hardware and C/C++ flight software as part of ongoing flight test programs, and perform simulation analysis and data reduction in our Python and C/C++ modeling & simulation environment.

Responsibilities

• Establish autoflight and flight control system requirements
• Interface with Pilots and Operations team to develop flight test plans, respond to squawks, and communicate design updates
• Design and analyze flight control laws from conceptual design through implementation and certification
• Develop simulation models to evaluate flight control system performance and stability
• Implement control laws and algorithms in flight software
• Test flight software in simulation, Monte Carlo, hardware-in-loop, and flight

Basic Success Criteria

• MS in aerospace engineering, robotics, or equivalent field
• 8+ years of hands on, professional experience developing and testing flight controls algorithms
• Experience with flight dynamics simulation and model identification
• Professional experience with developing C/C++ flight software and Python data reduction & analysis
• Excellent written and verbal communication skills

Preferred Success Criteria

• PhD in aerospace engineering, robotics, or similar advanced degree
• Current pilot, instrument or commercial ratings
• Experience with flight controls, autopilot, or flight management system certification

We are developing and building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the entire team, you will be making key contributions to the autoflight system that drive our core company mission forward.

Employees working from our headquarters in Mountain View, CA may expect very little travel. Employees working from Seattle, WA or remotely can expect 20% travel.

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 [e-mail]

Compensation Range: $215K - $300K