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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 Senior Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders

• Analyze, source, and select sensor solutions for use in the navigation system

• Develop sensor models in simulation for evaluation of the navigation system

• Implement state estimation algorithms in flight software

• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

• Evaluate the navigation system performance via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

• 8+ years of professional experience developing and testing navigation algorithms

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

• Experience developing software for safety critical applications

• Experience with navigation system certification

We are 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 whole team, you will contribute to a novel navigation system that drives our mission forward.

Must be willing to travel 25% of the time.

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

Compensation Range: $200K - $300K

Apply for this Job

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 Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders

• Analyze, source, and select sensor solutions for use in the navigation system

• Develop sensor models in simulation for evaluation of the navigation system

• Implement state estimation algorithms in flight software

• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

• Evaluate the navigation system via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

• 3+ years of professional experience developing and testing navigation algorithms

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

• Experience developing software for safety critical applications

• Experience with navigation system certification

We are 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 whole team, you will contribute to a novel navigation system that drives our mission forward.

Must be willing to travel 10% of the time. This position is based at our facility in Mountain View, California.

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

Compensation Range: $155K - $215K

Apply for this Job

Date Posted:

2026-03-06

Country:

United States of America

Location:

US-AZ-TUCSON-805 ~ 1151 E Hermans Rd ~ BLDG 805

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Active and transferable U.S. government issued security clearance is required prior to start date.​ U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance​

Security Clearance Type:

DoD Clearance: Secret

Security Clearance Status:

Active and existing security clearance required on day 1

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

The Systems Effectors: Processing, Guidance & Control Center is responsible for algorithm development including Guidance, Navigation, and Control; radio frequency (RF) and electro-optical/infrared (EO-IR) Signal Processing (SP); and missile- and sensor-level Modeling and Simulation for Raytheon's broad portfolio of projects, programs, and products. In the GNC department, we design, integrate, and optimize effector guidance, tracking, navigation, and estimation algorithms to meet mission objectives. We support new business initiatives and help develop & execute technology roadmaps.

The Effectors PG&C Center is currently hiring for a Sr. Systems Engineer - Guidance, Navigation, and Control Engineer position in Tucson, AZ to support execution of the portfolio of current and upcoming missile programs. As a Sr. Systems Engineer - Guidance, Navigation, and Control Engineer, you will play a critical role in helping with the evaluation, design, implementation, and integration of embedded software algorithms. You will collaborate with a team of engineers in an integrated product team that will be responsible for tactical embedded software, firmware, and integrated flight software 6 Degrees-of-Freedom simulations to achieve overall system performance requirements. This position is an onsite role located in Tucson, AZ. 

What You Will Do

• Development, integration, and testing of embedded tactical missile flight code

• Definition and execution of system level performance studies and analyses to inform the development and integration of new capabilities, refinement of existing capability, or to address obsolescence

• Work within an agile framework to lead development of backlogs, plans, and metrics

• Provide experience and guidance to help the program train new engineers and execute efficiently and effectively

• Support missile performance analysis including model development, system optimization, and Monte Carlo assessments with expected system disturbances.

Qualifications You Must Have

• Typically requires a Bachelor’s degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years prior relevant experience

• GNC, Signal Processing, and/or Modeling / Simulation experience

• Engineering experience in missile system applications to include at least one of the following:

  • Digital and/or modern control systems

  • Dynamics

  • Kalman filter design

  • Monte Carlo analysis

  • Development and/or simulation of physical systems

  • Signal processing

  • Verification and validation

  • System-level performance assessments

  • GPS/INS navigation systems, sensors, and algorithms

  • Assured Positioning, Navigation, and Timing (APNT) systems, sensors, and algorithms for navigation in GPS-degraded environments

• Experience with MATLAB, Python, C, C++, and/or Object-Oriented design

• Experience with GNC and/or Signal Processing algorithms within a simulation or physical environment

• Experience managing or leading others in a technical and/or functional capacity within an engineering environment

• Ability to obtain an Interim Secret U.S. government issued Security Clearance is required prior to start date with the ability to obtain special program access after start. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

Qualifications We Prefer

• Active and current Secret or above level Security Clearance

• Advanced Degree in Engineering, Science, Physics, Mathematics, or a related STEM degree with 5 or more years of GNC, Signal Processing, and/or Modeling / Simulation experience

• Ability to communicate effectively with internal leadership regarding matters of importance

• Ability to balance multiple concurrent priorities with overlapping deadline in an Agile environment

• Experience with and demonstrable achievement in systems engineering principals with regards to product development

What We Offer

• Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

• Relocation Eligible - relocation assistance is available for this position

Learn More & Apply Now!

• Please consider the following role type definition as you apply for this role.  Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products.

• This position requires onsite work in Tucson, AZ: ,-az-location

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

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