Job Description Position Summary: Sapient Logic is seeking a DDIL Subject Matter Expert (Infrastructure Engineer/Architect) to support a Government mission customer in Charleston, SC or Reston, VA. This full-time, on-site role will guide architecture for secure mission services operating under denied, disrupted, intermittent, or limited connectivity. The engineer will design resilient identity, authorization, and data protection capabilities that support disconnected operation and safe reconnection to enterprise services. Responsibilities: Develop DDIL strategies, architectural approaches, and implementation roadmaps for mission applications and supporting security services. Work with mission owners to define operational scenarios, connectivity constraints, mission priorities, and acceptable levels of degraded service. Translate those scenarios into requirements for local autonomy, bandwidth use, latency, outage duration, synchronization, and recovery. Define which identity, authorization, directory, credential, and data protection capabilities must remain available without enterprise reachback. Architect local identity and attribute services, including virtual directories and approved caching of security information. Establish approaches for cached attribute freshness, credential expiration, revocation awareness, authorization policy updates, and operation when authoritative sources cannot be reached. Evaluate access control tradeoffs, including when services should deny access, permit bounded local operation, or require additional safeguards. Design synchronization and reconnection approaches that address conflicting updates, stale identity data, audit records, and restoration of enterprise consistency. Define dependencies among applications, identity providers, policy services, directories, encryption services, and key management infrastructure. Assess data placement, replication, and protection requirements across connected and disconnected environments, including approved cross-domain interfaces. Develop architecture diagrams, interface requirements, alternatives analyses, risk assessments, and phased implementation recommendations. Support agreements and approval documentation governing the caching and use of identity and security attributes. Guide prototypes and demonstrations that validate architectural assumptions under representative network impairments. Define measurable acceptance criteria and help teams evaluate mission continuity, security behavior, and recovery during connectivity loss and restoration. Coordinate with Government stakeholders, mission partners, security personnel, and engineering teams to resolve architectural gaps and guide implementation. Required Qualifications: Demonstrated subject matter expertise designing, evaluating, or fielding systems that operate with denied, disrupted, intermittent, or limited connectivity. Experience developing mission or enterprise architectures that support disconnected operation, local processing, and eventual synchronization with authoritative services. Ability to translate operational constraints into technical requirements, architectural decisions, and testable performance criteria. Understanding of distributed systems concepts, including consistency, replication, caching, conflict resolution, and failure recovery. Experience addressing identity, authentication, authorization, or credential dependencies when enterprise services are unavailable. Understanding of the security implications of stale attributes, delayed revocation information, expired credentials, and unavailable policy or key services. Experience assessing bandwidth, latency, packet loss, and network availability constraints and their effects on application and service behavior. Experience developing technical strategies, architecture documentation, alternatives analyses, and implementation roadmaps. Ability to explain architectural tradeoffs and residual risks to Government decision-makers and provide actionable guidance to engineering teams. Experience working across mission, cybersecurity, infrastructure, and application development stakeholders. Experience deploying localized Policy Enforcement Points (PEPs) and lightweight Policy Decision Points (PDPs) on edge compute appliances and dismounted kits. Experience conducting modeling, simulation, and hardware-in-the-loop (HWIL) testing to replicate tactical link degradation, electronic warfare (EW) effects, and packet-loss profiles. Active DoD Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance with the ability to obtain a Counterintelligence (CI) Polygraph is required. U.S. Citizenship is required. Desired Qualifications: Prior experience supporting the Intelligence Community. Bachelor's or Master's degree. Operational DDIL experience: Experience supporting deployed, tactical, expeditionary, edge, or other mission environments with constrained reachback. Identity services: Experience with Identity, Credential, and Access Management (ICAM), virtual directories, identity federation, and local identity and attribute caching. Authorization design: Experience with attribute-based access control, local policy enforcement, bounded offline access, and synchronization of authorization policies. Data protection: Familiarity with Trusted Data Format (TDF), data tagging, encryption, and access enforcement when central services are unavailable. Key and certificate services: Experience addressing Public Key Infrastructure (PKI), certificate validation, credential renewal, and key availability in disconnected environments. Distributed applications: Experience with store-and-forward messaging, durable queues, retry behavior, duplicate handling, and reconciliation after reconnection. Cross-domain environments: Experience defining approved identity and data exchanges across security domains and mission partner boundaries. Cloud and edge platforms: Familiarity with Amazon Web Services (AWS), Kubernetes, Red Hat OpenShift, and deployment patterns spanning enterprise and local infrastructure. Validation and experimentation: Experience using network impairment testing, fault injection, or operational demonstrations to assess degraded-mode behavior. Zero Trust: Experience adapting identity, device, application, and data security controls to environments where continuous enterprise connectivity cannot be assumed. Segmentation: Experience implementing software-defined micro-segmentation, overlay networks, and dynamic perimeter controls across non-standard transport channels (e.g., HF/VHF/UHF, SATCOM, mesh radios, 5G tactical bubbles). Job Type:Full-time Benefits:401(k) 401(k) matching Dental insurance Employee assistance program Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Retirement plan Vision insurance Schedule: 8-hour shift Monday to Friday Day shift Ability to work additional hours as needed to support mission requirements Work Location: On-site - Charleston, SC or Reston, VA (Washington, DC metro) Security Clearance: Active TS/SCI clearance required Salary: $145,000-$198,000
11/14/2026
Full time
Job Description Position Summary: Sapient Logic is seeking a DDIL Subject Matter Expert (Infrastructure Engineer/Architect) to support a Government mission customer in Charleston, SC or Reston, VA. This full-time, on-site role will guide architecture for secure mission services operating under denied, disrupted, intermittent, or limited connectivity. The engineer will design resilient identity, authorization, and data protection capabilities that support disconnected operation and safe reconnection to enterprise services. Responsibilities: Develop DDIL strategies, architectural approaches, and implementation roadmaps for mission applications and supporting security services. Work with mission owners to define operational scenarios, connectivity constraints, mission priorities, and acceptable levels of degraded service. Translate those scenarios into requirements for local autonomy, bandwidth use, latency, outage duration, synchronization, and recovery. Define which identity, authorization, directory, credential, and data protection capabilities must remain available without enterprise reachback. Architect local identity and attribute services, including virtual directories and approved caching of security information. Establish approaches for cached attribute freshness, credential expiration, revocation awareness, authorization policy updates, and operation when authoritative sources cannot be reached. Evaluate access control tradeoffs, including when services should deny access, permit bounded local operation, or require additional safeguards. Design synchronization and reconnection approaches that address conflicting updates, stale identity data, audit records, and restoration of enterprise consistency. Define dependencies among applications, identity providers, policy services, directories, encryption services, and key management infrastructure. Assess data placement, replication, and protection requirements across connected and disconnected environments, including approved cross-domain interfaces. Develop architecture diagrams, interface requirements, alternatives analyses, risk assessments, and phased implementation recommendations. Support agreements and approval documentation governing the caching and use of identity and security attributes. Guide prototypes and demonstrations that validate architectural assumptions under representative network impairments. Define measurable acceptance criteria and help teams evaluate mission continuity, security behavior, and recovery during connectivity loss and restoration. Coordinate with Government stakeholders, mission partners, security personnel, and engineering teams to resolve architectural gaps and guide implementation. Required Qualifications: Demonstrated subject matter expertise designing, evaluating, or fielding systems that operate with denied, disrupted, intermittent, or limited connectivity. Experience developing mission or enterprise architectures that support disconnected operation, local processing, and eventual synchronization with authoritative services. Ability to translate operational constraints into technical requirements, architectural decisions, and testable performance criteria. Understanding of distributed systems concepts, including consistency, replication, caching, conflict resolution, and failure recovery. Experience addressing identity, authentication, authorization, or credential dependencies when enterprise services are unavailable. Understanding of the security implications of stale attributes, delayed revocation information, expired credentials, and unavailable policy or key services. Experience assessing bandwidth, latency, packet loss, and network availability constraints and their effects on application and service behavior. Experience developing technical strategies, architecture documentation, alternatives analyses, and implementation roadmaps. Ability to explain architectural tradeoffs and residual risks to Government decision-makers and provide actionable guidance to engineering teams. Experience working across mission, cybersecurity, infrastructure, and application development stakeholders. Experience deploying localized Policy Enforcement Points (PEPs) and lightweight Policy Decision Points (PDPs) on edge compute appliances and dismounted kits. Experience conducting modeling, simulation, and hardware-in-the-loop (HWIL) testing to replicate tactical link degradation, electronic warfare (EW) effects, and packet-loss profiles. Active DoD Top Secret/Sensitive Compartmented Information (TS/SCI) Clearance with the ability to obtain a Counterintelligence (CI) Polygraph is required. U.S. Citizenship is required. Desired Qualifications: Prior experience supporting the Intelligence Community. Bachelor's or Master's degree. Operational DDIL experience: Experience supporting deployed, tactical, expeditionary, edge, or other mission environments with constrained reachback. Identity services: Experience with Identity, Credential, and Access Management (ICAM), virtual directories, identity federation, and local identity and attribute caching. Authorization design: Experience with attribute-based access control, local policy enforcement, bounded offline access, and synchronization of authorization policies. Data protection: Familiarity with Trusted Data Format (TDF), data tagging, encryption, and access enforcement when central services are unavailable. Key and certificate services: Experience addressing Public Key Infrastructure (PKI), certificate validation, credential renewal, and key availability in disconnected environments. Distributed applications: Experience with store-and-forward messaging, durable queues, retry behavior, duplicate handling, and reconciliation after reconnection. Cross-domain environments: Experience defining approved identity and data exchanges across security domains and mission partner boundaries. Cloud and edge platforms: Familiarity with Amazon Web Services (AWS), Kubernetes, Red Hat OpenShift, and deployment patterns spanning enterprise and local infrastructure. Validation and experimentation: Experience using network impairment testing, fault injection, or operational demonstrations to assess degraded-mode behavior. Zero Trust: Experience adapting identity, device, application, and data security controls to environments where continuous enterprise connectivity cannot be assumed. Segmentation: Experience implementing software-defined micro-segmentation, overlay networks, and dynamic perimeter controls across non-standard transport channels (e.g., HF/VHF/UHF, SATCOM, mesh radios, 5G tactical bubbles). Job Type:Full-time Benefits:401(k) 401(k) matching Dental insurance Employee assistance program Flexible spending account Health insurance Health savings account Life insurance Paid time off Parental leave Professional development assistance Retirement plan Vision insurance Schedule: 8-hour shift Monday to Friday Day shift Ability to work additional hours as needed to support mission requirements Work Location: On-site - Charleston, SC or Reston, VA (Washington, DC metro) Security Clearance: Active TS/SCI clearance required Salary: $145,000-$198,000
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 8 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 107,500 USD - 204,500 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 8 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 107,500 USD - 204,500 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 132,400 USD - 251,600 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Principal Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 10 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 132,400 USD - 251,600 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Sr. Systems Engineer - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Sr. Systems Engineer - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 5 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Systems Engineer II - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 68,900 USD - 131,100 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Job Description Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- S Rita Rd BLDG 9020 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: Ability to obtain INTERIM U.S. government issued security clearance is required prior to start date At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. We're looking for Systems Engineer II - Signal and Sensor Modeling Engineers who enjoy solving complex problems, engaging in a dynamic team environment, and are eager to learn. As a Systems Engineer II - Signal and Sensor Modeling Engineer, you will work on a close-knit team to create advanced, physics-based modeling solutions in the DoD Space. You will develop key technologies in the EO/IR/RF domain to help engineers grasp the most complex aspects of energy transport, enabling the design and test of tomorrow's artificial intelligence algorithms and hardware solutions. You will deploy cutting-edge technologies, leverage your software development skills and collaborate with your Signal and Sensor Modeling peers. This is an Onsite role in Tucson, AZ. What You Will Do You will champion novel solutions for advanced modeling techniques. You will develop new C++ models in an extensible and maintainable fashion. You will deploy EO or RF phenomenology and advanced physics principles in a software implementation. You will enable our customer's success through adoption and utilization of modeling solutions. You will work efficiently inside an established software product, across programming languages, and build environments. You will research and develop novel EO or RF modeling solutions. You will coordinate with multiple development teams to prioritize and solve complex software and physics problems. You will mentor and share EO or RF expertise with your team. Qualifications You Must Have Typically requires a degree in Engineering, Science, Physics, Mathematics, or a related STEM degree and a minimum of 2 years of prior relevant experience Experience applying object-oriented software design in C++, C, and using MATLAB or Python for evaluation of data sets Experience with UNIX/Linux or Apple OS or Windows DOS command line Experience in electro-optics or in radar processing, Imaging EO/IR/RF systems, energy transport, radar physics, signal processing and/or discrimination algorithms 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 Advanced Degree in Engineering, Science, Mathematics, or related STEM degree Experience with OpenGL, CUDA, or other GPU accelerated languages/architectures and Scene Generation/Sensor Modeling technologies Experience with electronic warfare modeling, developing signal processing algorithms for missile applications, signal & image processing, digital communications, or estimation theory, or AI/ML and training techniques Experience with Real-time Programming, software change management tools and processes, using and augmenting Build Systems (Make/CMake), and working with large production software environment Experience interfacing with adjacent engineering disciplines (Signal Processing, Systems Engineering, Hardware Engineering) 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 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: -tucson,-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 68,900 USD - 131,100 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. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Leidos is seeking an Electronic Warfare Integrator to design, integrate, and optimize EW systems that support national security missions. In this role, you will translate mission and threat requirements into technical solutions, integrate RF sensors and jammers with C4ISR and IT networks, and support lab and field testing. You will analyze signals and waveforms, troubleshoot system issues, and ensure interoperability with existing platforms. The role works closely with engineers, cyber, and operations teams in a highly collaborative, mission-driven culture that values innovation, integrity, continuous learning, and real-world impact. Responsibilities Design and integrate electronic warfare solutions into mission systems and networks Translate mission, threat, and operational requirements into technical architectures Integrate RF sensors, jammers, and EW payloads with C4 ISR and IT infrastructures Support lab, range, and field testing, including test planning and data analysis Analyze signals, waveforms, and electromagnetic environments to optimize performance Troubleshoot and resolve EW system, interoperability, and network issues Collaborate with engineers, cyber specialists, and operators to refine capabilities Develop system documentation, integration plans, and configuration baselines Support cybersecurity, accreditation, and compliance for integrated EW systems Contribute to continuous improvement, innovation, and knowledge sharing within the team Required Skills Electronic warfare systems integration RF engineering and propagation Signal and waveform analysis C4 ISR systems and architectures Systems engineering and requirements analysis Networked systems and IP-based communications Linux/Windows system administration for labs Test planning, execution, and data analysis Troubleshooting complex hardware/software systems Technical documentation and configuration management
11/08/2026
Full time
Leidos is seeking an Electronic Warfare Integrator to design, integrate, and optimize EW systems that support national security missions. In this role, you will translate mission and threat requirements into technical solutions, integrate RF sensors and jammers with C4ISR and IT networks, and support lab and field testing. You will analyze signals and waveforms, troubleshoot system issues, and ensure interoperability with existing platforms. The role works closely with engineers, cyber, and operations teams in a highly collaborative, mission-driven culture that values innovation, integrity, continuous learning, and real-world impact. Responsibilities Design and integrate electronic warfare solutions into mission systems and networks Translate mission, threat, and operational requirements into technical architectures Integrate RF sensors, jammers, and EW payloads with C4 ISR and IT infrastructures Support lab, range, and field testing, including test planning and data analysis Analyze signals, waveforms, and electromagnetic environments to optimize performance Troubleshoot and resolve EW system, interoperability, and network issues Collaborate with engineers, cyber specialists, and operators to refine capabilities Develop system documentation, integration plans, and configuration baselines Support cybersecurity, accreditation, and compliance for integrated EW systems Contribute to continuous improvement, innovation, and knowledge sharing within the team Required Skills Electronic warfare systems integration RF engineering and propagation Signal and waveform analysis C4 ISR systems and architectures Systems engineering and requirements analysis Networked systems and IP-based communications Linux/Windows system administration for labs Test planning, execution, and data analysis Troubleshooting complex hardware/software systems Technical documentation and configuration management
Leidos seeks a Radar / Electronic Warfare Software Lead to drive development of mission-critical sensor and EW applications. In this role, you will architect, design, and implement real-time C++/Python software for radar signal processing, threat detection, and electronic attack/defense. You will guide a team through the full SDLC, collaborate with systems, RF, and hardware engineers, and support integration and test in lab and field environments. Leidos offers competitive pay, robust benefits, flexible work options, and career growth while contributing to national security missions. Responsibilities Lead design and development of radar and electronic warfare software solutions Define software architecture, interfaces, and integration strategies Oversee full SDLC including requirements, design, implementation, and test Collaborate with systems, RF, and hardware engineers on end-to-end solutions Mentor and technically guide a team of software engineers Ensure software meets performance, security, and reliability requirements Support lab and field integration, troubleshooting, and optimization Contribute to proposals, estimates, and technical documentation for customers Required Skills Radar signal processing Electronic warfare systems C++ programming Python programming Real-time and embedded software development Linux development environment Software architecture and design Systems integration and test Version control (Git) and CI/CDDefense and national security domain knowledge
11/08/2026
Full time
Leidos seeks a Radar / Electronic Warfare Software Lead to drive development of mission-critical sensor and EW applications. In this role, you will architect, design, and implement real-time C++/Python software for radar signal processing, threat detection, and electronic attack/defense. You will guide a team through the full SDLC, collaborate with systems, RF, and hardware engineers, and support integration and test in lab and field environments. Leidos offers competitive pay, robust benefits, flexible work options, and career growth while contributing to national security missions. Responsibilities Lead design and development of radar and electronic warfare software solutions Define software architecture, interfaces, and integration strategies Oversee full SDLC including requirements, design, implementation, and test Collaborate with systems, RF, and hardware engineers on end-to-end solutions Mentor and technically guide a team of software engineers Ensure software meets performance, security, and reliability requirements Support lab and field integration, troubleshooting, and optimization Contribute to proposals, estimates, and technical documentation for customers Required Skills Radar signal processing Electronic warfare systems C++ programming Python programming Real-time and embedded software development Linux development environment Software architecture and design Systems integration and test Version control (Git) and CI/CDDefense and national security domain knowledge
