Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
11/04/2026
Full time
Machine Learning Engineer 5 Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Build and scale massive multi-tenant platforms that enable running large footprint ML model training and/or serving at scale Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience programming with Python, Java, Golang, or C++ At least 6 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 5+ years of experience optimizing ML algorithms, configurations, and infrastructure 5+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 5+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans 5+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 5+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Ability to communicate complex technical and machine learning concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Machine Learning Engineer 5 New York, NY: $250,800 - $286,200 for Machine Learning Engineer 5 Plano, TX: $209,000 - $238,500 for Machine Learning Engineer 5 Richmond, VA: $209,000 - $238,500 for Machine Learning Engineer 5 San Francisco, CA: $250,800 - $286,200 for Machine Learning Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PI573460cbadb3-4784
11/04/2026
Full time
Location: Onsite, American Fork, Utah The Automation Engineer designs, implements, and maintains industrial automation, control, and instrumentation systems. This role requires expertise in electrical design, control programming, instrumentation, and system troubleshooting. The ideal candidate is detail-oriented, analytical, and thrives in a fast-paced manufacturing environment. Essential Functions Include: Design and develop industrial automation systems, including PLC, HMI, and SCADA applications. Program, test, and commission PLC/HMI control systems for new and existing equipment Design, construct, modify, and maintain control panel layouts and electrical schematics. Develop and update P&IDs and instrumentation diagrams using CAD software. Develop Functional Design Specifications and Control Narratives Specify, integrate, and calibrate industrial sensors and measurement devices. Troubleshoot automation hardware and instrumentation issues Ensure compliance with industry standards, safety regulations, and company policies. Lead and manage automation initiatives during entire project lifecycle from concept through commissioning Collaborate with engineering, maintenance, and production teams to improve automation and control processes. Stay current with emerging automation technologies and best practices. Perform other duties as assigned Qualifications Include: Bachelor's degree in electrical engineering, automation engineering, or related field. Hands-on experience with PLC programming and HMI/SCADA development (Ignition preferred) Experience in commissioning activities, including I/O checks and sequence testing. Familiarity with motor controls, PID loops, VFDs, sensors, and industrial instrumentation. Ability to read, redline, and update electrical schematics, P&IDs, and technical documentation. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and teamwork abilities Ability to travel up to 40% to company and supplier sites across North America. Preferred Qualifications: 2+ years of relative experience Proficiency with electrical design tools (AutoCAD Electrical or EPLAN preferred). Experience designing and constructing control panels utilizing applicable design standards. Strong Knowledge of industrial communication protocols such as Modbus, Ethernet/IP, etc. Understanding database integration including SQL, MES, or data historians. Experience with controls for utilities systems, such as steam, refrigeration, etc. Food Safety Requirements: Place high priority on food safety, quality, and sanitation by understanding and executing Thrive Freeze Dry's food safety and sanitation policies and procedures. Hold self and others accountable to Thrive Freeze Dry's food safety & sanitation guidelines and policies by communicating any food safety incident, observation, or opportunity to your leadership team or teammates. Physical Requirements - Must be able to perform the following functions with or without accommodations: Consistent and reliable attendance The usual and customary methods of performing the job's functions require the following physical demands: some lifting, carrying, pushing, and/or pulling; some stooping, kneeling, crouching, and/or crawling; and frequent fine finger dexterity. Generally, the job requires the following percentages of time committed to physical activity: 50% or more sitting, 50% or more walking, and 50% or more standing. The job is performed under some temperature variations and in a food manufacturing production environment. Unrestricted visual and audio abilities are required for the safety of all employees. The ability to lift to 40 lbs. is required. PI573460cbadb3-4784
Job Description Job Description Strong SCADA Skills? We've Got Projects That Go Beyond the Screen. We are RED Group. And We're Thinking Ahead. RED Group is an Industrial Control Systems (ICS) technology development and integration firm specializing in Process Automation, IT/OT Consulting, and Industrial Cybersecurity. We stand out in experience and expertise. We are committed to an employee-centric culture of success where we put our people first and give our staff the opportunities and push that they need to succeed and improve. As a result, they give their utmost to help our clients and get better at what they do each day. Our mission is to add value to our clients' organizations by selecting and deploying the proper resources and technology to ensure their goals are realized. Our team of Engineers, Consultants, Programmers, and Technicians provide the valuable expertise necessary for efficient and secure ICS/OT environments. TAKE CONTROL and join our team as a SCADA Developer ! We're looking for a motivated individual to be part of our innovative and collaborative team. This role offers a blend of in-office collaboration with on-site client support, offering the ideal mix of variety and challenge. If you're eager to contribute and grow, now is your chance to TAKE CONTROL and join our team! This role supports active, ongoing projects that require local travel. About the Role The SCADA Developer will be responsible for designing, developing, and maintaining SCADA systems to ensure optimal performance of industrial operations. Key Responsibilities Design, configure, and program SCADA systems to monitor and control industrial processes. Maintain and troubleshoot: SCADA network communications, databases, and industrial control systems. Develop and maintain HMI applications for real-time data visualization and control. Integrate SCADA systems with PLCs and other industrial devices. Troubleshoot and resolve SCADA system issues, including hardware and software problems. Conduct regular system maintenance, updates, and backups to ensure reliability and security. Consult with clients to conceptualize and deliver success. Interact with project managers, project team leads, other discipline leads, clients, contractors and other third parties. Qualifications & Skills Minimum of 7 years of experience as a SCADA Engineer with expertise in Ignition SCADA by Inductive Automation. Experience with the Perspective development environment preferred. Strong knowledge of SCADA software platforms such as Ignition, Wonderware, or similar. Inductive Automation Ignition Core Certification Preferred; Gold Certification a Plus. Proficient in PLC programming and integration with SCADA systems. Excellent problem-solving and troubleshooting skills. Ability to partner with clients, vendors, and other team members to deliver projects. Ability to manage and prioritize multiple projects and priorities. Strong interpersonal, verbal, and written communication skills. Foster a collaborative and engaging environment by upholding and embodying our Core Values: Be Dependable Cultivate Relationships Strive for Excellence Foster and promote a strong safety culture and follow company safety protocols. Why RED Group? Culture. Growth. Opportunity. At RED Group, we believe that a thriving workplace starts with a strong, employee-centric culture. Our focus on our people ensures they have the resources, support and opportunities needed to excel. Our commitment to success drives outstanding results in our client engagements, with our team always striving for excellence. If you join RED Group, you'll enjoy: A collaborative team environment that values your contribution. Competitive benefits, flexible schedules, and hybrid work options. The stability of a well-established company poised for exciting growth. A fun and rewarding career that challenges you while offering opportunities for you to grow and excel. If you're a self-starter looking for a fulfilling career filled with unique growth opportunities where you can challenge yourself, RED Group is the place for you. Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment visa at this time. Agency Submissions: RED Group does not accept unsolicited resumes from recruiting or staffing agencies. Agencies must have a current, signed agreement in place prior to submitting any candidate - resumes submitted without one will be considered the property of RED Group and no fees will be paid. Please do not forward resumes directly to employees or hiring managers.
11/04/2026
Full time
Job Description Job Description Strong SCADA Skills? We've Got Projects That Go Beyond the Screen. We are RED Group. And We're Thinking Ahead. RED Group is an Industrial Control Systems (ICS) technology development and integration firm specializing in Process Automation, IT/OT Consulting, and Industrial Cybersecurity. We stand out in experience and expertise. We are committed to an employee-centric culture of success where we put our people first and give our staff the opportunities and push that they need to succeed and improve. As a result, they give their utmost to help our clients and get better at what they do each day. Our mission is to add value to our clients' organizations by selecting and deploying the proper resources and technology to ensure their goals are realized. Our team of Engineers, Consultants, Programmers, and Technicians provide the valuable expertise necessary for efficient and secure ICS/OT environments. TAKE CONTROL and join our team as a SCADA Developer ! We're looking for a motivated individual to be part of our innovative and collaborative team. This role offers a blend of in-office collaboration with on-site client support, offering the ideal mix of variety and challenge. If you're eager to contribute and grow, now is your chance to TAKE CONTROL and join our team! This role supports active, ongoing projects that require local travel. About the Role The SCADA Developer will be responsible for designing, developing, and maintaining SCADA systems to ensure optimal performance of industrial operations. Key Responsibilities Design, configure, and program SCADA systems to monitor and control industrial processes. Maintain and troubleshoot: SCADA network communications, databases, and industrial control systems. Develop and maintain HMI applications for real-time data visualization and control. Integrate SCADA systems with PLCs and other industrial devices. Troubleshoot and resolve SCADA system issues, including hardware and software problems. Conduct regular system maintenance, updates, and backups to ensure reliability and security. Consult with clients to conceptualize and deliver success. Interact with project managers, project team leads, other discipline leads, clients, contractors and other third parties. Qualifications & Skills Minimum of 7 years of experience as a SCADA Engineer with expertise in Ignition SCADA by Inductive Automation. Experience with the Perspective development environment preferred. Strong knowledge of SCADA software platforms such as Ignition, Wonderware, or similar. Inductive Automation Ignition Core Certification Preferred; Gold Certification a Plus. Proficient in PLC programming and integration with SCADA systems. Excellent problem-solving and troubleshooting skills. Ability to partner with clients, vendors, and other team members to deliver projects. Ability to manage and prioritize multiple projects and priorities. Strong interpersonal, verbal, and written communication skills. Foster a collaborative and engaging environment by upholding and embodying our Core Values: Be Dependable Cultivate Relationships Strive for Excellence Foster and promote a strong safety culture and follow company safety protocols. Why RED Group? Culture. Growth. Opportunity. At RED Group, we believe that a thriving workplace starts with a strong, employee-centric culture. Our focus on our people ensures they have the resources, support and opportunities needed to excel. Our commitment to success drives outstanding results in our client engagements, with our team always striving for excellence. If you join RED Group, you'll enjoy: A collaborative team environment that values your contribution. Competitive benefits, flexible schedules, and hybrid work options. The stability of a well-established company poised for exciting growth. A fun and rewarding career that challenges you while offering opportunities for you to grow and excel. If you're a self-starter looking for a fulfilling career filled with unique growth opportunities where you can challenge yourself, RED Group is the place for you. Work Authorization: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment visa at this time. Agency Submissions: RED Group does not accept unsolicited resumes from recruiting or staffing agencies. Agencies must have a current, signed agreement in place prior to submitting any candidate - resumes submitted without one will be considered the property of RED Group and no fees will be paid. Please do not forward resumes directly to employees or hiring managers.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The Head of IT Strategy and Business Management is a key leadership role responsible for driving strategic planning, Technology Business Management (TBM), due diligence and integration activities for Mergers & Acquisitions (M&A) and divestitures and enterprise IT performance management. Reporting to the Vice President of Technology Strategy & Governance, this leader serves as a trusted advisor to senior technology executives and functional / business leaders, ensuring alignment between technology investments, business priorities, financial objectives, and strategic outcomes. The role leads a global team with primary operations across the United States and India and is accountable for establishing scalable operating rhythms, governance processes, executive reporting, strategic planning frameworks, and value realization disciplines that enable technology to operate as a business-focused, outcomes-driven organization. This position requires strong executive presence, business acumen, organizational leadership, and the ability to translate complex information into actionable insights for executive decision-making. Key Responsibilities Technology Strategy & Planning Lead the annual and multi-year IT strategic planning process, ensuring alignment with enterprise objectives and business priorities. Develop and maintain technology roadmaps, strategic initiatives, investment plans, and execution frameworks. Partner with technology and business executives to identify emerging opportunities, risks, and transformational priorities. Facilitate strategic planning workshops, leadership offsites, and executive decision-making forums. Establish governance frameworks that drive accountability, prioritization, and delivery against strategic objectives. Monitor progress against strategic initiatives and provide recommendations for course correction when necessary. Mergers, Acquisitions & Divestitures Lead technology planning and coordination activities supporting mergers, acquisitions, divestitures, joint ventures, and/or strategic partnerships. Develop IT integration and separation strategies, plans, governance structures, and executive reporting. Coordinate cross-functional technology workstreams including infrastructure, security, applications, data, operations, and end-user computing. Manage technology due diligence activities, synergy identification, transition service agreement (TSA) planning, and integration execution. Partner with Finance, Legal, HR, Innovation, Engineering, Underwriting, and business leaders throughout transaction lifecycles. Establish integration success metrics and track achievement of transaction objectives. Technology Business Management (TBM) Provide greater cost transparency and enable analytics to support strategic decision making, financial planning, budget justification, chargeback/showback, performance analytics, benchmarking and value measurement capabilities. Partner with Finance and Technology leadership to establish and maintain processes to aggregate and allocate all IT cost and consumption data against a cost model that reflects IT products or services - "run IT like a business" IT Identify opportunities to optimize costs while maintaining operational resilience and business value. Support portfolio management and investment prioritization decisions using financial and business data. Establish value realization and benefits tracking frameworks for strategic technology investments. Metrics, Reporting & Executive Performance Management Own enterprise IT performance measurement frameworks including OKRs, KPIs, scorecards, dashboards, and executive reporting. Lead quarterly business reviews (QBRs), executive leadership updates, board-support reporting, and strategic metrics reviews. Develop executive-level reporting that provides clear visibility into technology performance, strategic progress, financial outcomes, delivery health, and operational effectiveness. Ensure consistency, accuracy, and integrity of technology performance data across the organization. Drive a culture of accountability through measurable objectives and transparent performance management. Identify trends, risks, dependencies, and opportunities through data-driven analysis and executive insights. Global Team Leadership Lead and develop a high-performing global organization with team members located globally, with a large presence in the U.S. and India. Create an operating model that maximizes collaboration, productivity, and consistency across geographies and time zones. Foster a culture of accountability, inclusion, continuous improvement, and talent development. Build leadership capabilities, succession plans, and career development pathways for team members. Align resources and organizational capabilities to evolving business and technology priorities. Drive operational excellence and standardization across global teams. Leadership Expectations Serve as a trusted and strategic advisor to Technology Executive Leadership. Influence decisions across organizational boundaries through strong relationships and business partnership. Balance long-term strategic thinking with operational execution and measurable outcomes. Drive organizational change, transformation initiatives, and adoption of new operating models. Communicate effectively with executives, board-level stakeholders, business leaders, and technology teams. Lead through ambiguity and navigate complex organizational challenges with sound judgment. Qualifications: Required Experience 12+ years of progressive leadership experience in technology strategy, business operations, technology finance, portfolio management, or related disciplines. 5+ years leading managers and global teams across multiple geographies. Demonstrated experience leading enterprise strategic planning and operational governance processes. Experience supporting or leading technology activities associated with mergers, acquisitions, divestitures, or enterprise transformations. Experience building and managing executive-level performance reporting, KPIs, OKRs, and governance processes. Strong financial acumen including cost-benefit analysis, business cases, and investment management. Experience working directly with senior executives and presenting to executive leadership teams. Preferred Experience Experience within the insurance, financial services, or highly regulated industries. Technology Business Management (TBM) experience and familiarity with Apptio or similar platforms. Experience leading global delivery teams that include significant offshore operations. Success Measures Within this role, success will be measured by: Achievement of enterprise technology strategic objectives and planned outcomes. Effective execution of technology integration and separation activities associated with M&A transactions. Improved transparency and optimization of technology investments and operating expenses. Increased executive confidence through timely, accurate, and actionable reporting. Consistent achievement of OKRs and operational performance targets. Strong employee engagement, retention, and development across the global team. Increased organizational maturity in governance, planning, performance management, and business operations. Ideal Candidate Profile A highly strategic, business-oriented technology leader who combines executive communication skills, financial discipline, operational excellence, and global leadership capabilities. This individual can translate strategy into execution, drive measurable outcomes, lead complex transformations, execute as a servant leader, builds trust and effectively partners with senior executives to maximize the value technology delivers to the organization. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
11/04/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. The Head of IT Strategy and Business Management is a key leadership role responsible for driving strategic planning, Technology Business Management (TBM), due diligence and integration activities for Mergers & Acquisitions (M&A) and divestitures and enterprise IT performance management. Reporting to the Vice President of Technology Strategy & Governance, this leader serves as a trusted advisor to senior technology executives and functional / business leaders, ensuring alignment between technology investments, business priorities, financial objectives, and strategic outcomes. The role leads a global team with primary operations across the United States and India and is accountable for establishing scalable operating rhythms, governance processes, executive reporting, strategic planning frameworks, and value realization disciplines that enable technology to operate as a business-focused, outcomes-driven organization. This position requires strong executive presence, business acumen, organizational leadership, and the ability to translate complex information into actionable insights for executive decision-making. Key Responsibilities Technology Strategy & Planning Lead the annual and multi-year IT strategic planning process, ensuring alignment with enterprise objectives and business priorities. Develop and maintain technology roadmaps, strategic initiatives, investment plans, and execution frameworks. Partner with technology and business executives to identify emerging opportunities, risks, and transformational priorities. Facilitate strategic planning workshops, leadership offsites, and executive decision-making forums. Establish governance frameworks that drive accountability, prioritization, and delivery against strategic objectives. Monitor progress against strategic initiatives and provide recommendations for course correction when necessary. Mergers, Acquisitions & Divestitures Lead technology planning and coordination activities supporting mergers, acquisitions, divestitures, joint ventures, and/or strategic partnerships. Develop IT integration and separation strategies, plans, governance structures, and executive reporting. Coordinate cross-functional technology workstreams including infrastructure, security, applications, data, operations, and end-user computing. Manage technology due diligence activities, synergy identification, transition service agreement (TSA) planning, and integration execution. Partner with Finance, Legal, HR, Innovation, Engineering, Underwriting, and business leaders throughout transaction lifecycles. Establish integration success metrics and track achievement of transaction objectives. Technology Business Management (TBM) Provide greater cost transparency and enable analytics to support strategic decision making, financial planning, budget justification, chargeback/showback, performance analytics, benchmarking and value measurement capabilities. Partner with Finance and Technology leadership to establish and maintain processes to aggregate and allocate all IT cost and consumption data against a cost model that reflects IT products or services - "run IT like a business" IT Identify opportunities to optimize costs while maintaining operational resilience and business value. Support portfolio management and investment prioritization decisions using financial and business data. Establish value realization and benefits tracking frameworks for strategic technology investments. Metrics, Reporting & Executive Performance Management Own enterprise IT performance measurement frameworks including OKRs, KPIs, scorecards, dashboards, and executive reporting. Lead quarterly business reviews (QBRs), executive leadership updates, board-support reporting, and strategic metrics reviews. Develop executive-level reporting that provides clear visibility into technology performance, strategic progress, financial outcomes, delivery health, and operational effectiveness. Ensure consistency, accuracy, and integrity of technology performance data across the organization. Drive a culture of accountability through measurable objectives and transparent performance management. Identify trends, risks, dependencies, and opportunities through data-driven analysis and executive insights. Global Team Leadership Lead and develop a high-performing global organization with team members located globally, with a large presence in the U.S. and India. Create an operating model that maximizes collaboration, productivity, and consistency across geographies and time zones. Foster a culture of accountability, inclusion, continuous improvement, and talent development. Build leadership capabilities, succession plans, and career development pathways for team members. Align resources and organizational capabilities to evolving business and technology priorities. Drive operational excellence and standardization across global teams. Leadership Expectations Serve as a trusted and strategic advisor to Technology Executive Leadership. Influence decisions across organizational boundaries through strong relationships and business partnership. Balance long-term strategic thinking with operational execution and measurable outcomes. Drive organizational change, transformation initiatives, and adoption of new operating models. Communicate effectively with executives, board-level stakeholders, business leaders, and technology teams. Lead through ambiguity and navigate complex organizational challenges with sound judgment. Qualifications: Required Experience 12+ years of progressive leadership experience in technology strategy, business operations, technology finance, portfolio management, or related disciplines. 5+ years leading managers and global teams across multiple geographies. Demonstrated experience leading enterprise strategic planning and operational governance processes. Experience supporting or leading technology activities associated with mergers, acquisitions, divestitures, or enterprise transformations. Experience building and managing executive-level performance reporting, KPIs, OKRs, and governance processes. Strong financial acumen including cost-benefit analysis, business cases, and investment management. Experience working directly with senior executives and presenting to executive leadership teams. Preferred Experience Experience within the insurance, financial services, or highly regulated industries. Technology Business Management (TBM) experience and familiarity with Apptio or similar platforms. Experience leading global delivery teams that include significant offshore operations. Success Measures Within this role, success will be measured by: Achievement of enterprise technology strategic objectives and planned outcomes. Effective execution of technology integration and separation activities associated with M&A transactions. Improved transparency and optimization of technology investments and operating expenses. Increased executive confidence through timely, accurate, and actionable reporting. Consistent achievement of OKRs and operational performance targets. Strong employee engagement, retention, and development across the global team. Increased organizational maturity in governance, planning, performance management, and business operations. Ideal Candidate Profile A highly strategic, business-oriented technology leader who combines executive communication skills, financial discipline, operational excellence, and global leadership capabilities. This individual can translate strategy into execution, drive measurable outcomes, lead complex transformations, execute as a servant leader, builds trust and effectively partners with senior executives to maximize the value technology delivers to the organization. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our core finance and insurance platforms. In this role, you will lead complex application and integration projects, collaborate with product, security, and operations teams, and drive best practices in software engineering and cloud architecture. You will mentor junior engineers, improve reliability and performance of critical systems, and help modernize legacy applications, enabling our financial advisors to deliver client-first, long-term investment and retirement planning services. Responsibilities Design, develop, and maintain scalable applications supporting financial and insurance services Lead complex engineering projects from requirements through deployment and support Collaborate with product, security, and operations to define technical solutions and standards Implement secure coding, testing, and deployment best practices Optimize system performance, reliability, and observability for critical platforms Modernize and refactor legacy applications and services to modern architectures Develop and integrate APIs and data services for internal and external systems Mentor and provide technical guidance to junior and mid-level engineers Participate in code reviews and enforce engineering quality standards Contribute to technical roadmaps and continuous improvement initiatives Required Skills Object-oriented programming (e.g., Java, C#, or similar) Cloud platforms (AWS, Azure, or GCP) RESTful API design and integration Relational and/or No SQL databases CI/CD pipelines and Dev Ops practices Containerization (Docker, Kubernetes) Automated testing and test frameworks Monitoring, logging, and observability tools Secure software development practices System architecture and design patterns
11/04/2026
Full time
Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our core finance and insurance platforms. In this role, you will lead complex application and integration projects, collaborate with product, security, and operations teams, and drive best practices in software engineering and cloud architecture. You will mentor junior engineers, improve reliability and performance of critical systems, and help modernize legacy applications, enabling our financial advisors to deliver client-first, long-term investment and retirement planning services. Responsibilities Design, develop, and maintain scalable applications supporting financial and insurance services Lead complex engineering projects from requirements through deployment and support Collaborate with product, security, and operations to define technical solutions and standards Implement secure coding, testing, and deployment best practices Optimize system performance, reliability, and observability for critical platforms Modernize and refactor legacy applications and services to modern architectures Develop and integrate APIs and data services for internal and external systems Mentor and provide technical guidance to junior and mid-level engineers Participate in code reviews and enforce engineering quality standards Contribute to technical roadmaps and continuous improvement initiatives Required Skills Object-oriented programming (e.g., Java, C#, or similar) Cloud platforms (AWS, Azure, or GCP) RESTful API design and integration Relational and/or No SQL databases CI/CD pipelines and Dev Ops practices Containerization (Docker, Kubernetes) Automated testing and test frameworks Monitoring, logging, and observability tools Secure software development practices System architecture and design patterns
Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our finance and insurance platforms. In this role, you will lead complex application and integration projects, translate business and compliance requirements into technical designs, and mentor junior engineers. You will collaborate closely with product, security, and operations teams to deliver resilient, high availability systems that power client-facing tools, analytics, and back office services, while championing best practices in coding, testing, DevOps, and cloud engineering. Responsibilities Design and develop secure, scalable applications and services for finance and insurance platforms Translate business and regulatory requirements into robust technical solutions Lead complex engineering projects and provide technical direction to teams Implement and maintain CI/CD pipelines and Dev Ops practices Ensure system reliability, performance, and high availability Collaborate with product, security, and operations teams on solution design Conduct code reviews and enforce engineering best practices and standards Mentor and coach junior and mid level engineers Implement automated testing and quality assurance practices Contribute to cloud architecture and modernization initiatives Required Skills Software development (Java, C#, or similar OO language) Cloud platforms (AWS, Azure, or GCP) RESTful APIs and microservices architecture SQL and relational databases CI/CD tools (e.g., Jenkins, Git Hub Actions, Azure Dev Ops) Infrastructure as Code (e.g., Terraform, Cloud Formation) Automated testing frameworks (unit, integration, performance) Containerization and orchestration (Docker, Kubernetes) Secure coding and application security practices Monitoring and observability tools (e.g., Splunk, New Relic, Datadog)
11/04/2026
Full time
Edward Jones is seeking an Engineer III to design, build, and optimize secure, scalable technology solutions that support our finance and insurance platforms. In this role, you will lead complex application and integration projects, translate business and compliance requirements into technical designs, and mentor junior engineers. You will collaborate closely with product, security, and operations teams to deliver resilient, high availability systems that power client-facing tools, analytics, and back office services, while championing best practices in coding, testing, DevOps, and cloud engineering. Responsibilities Design and develop secure, scalable applications and services for finance and insurance platforms Translate business and regulatory requirements into robust technical solutions Lead complex engineering projects and provide technical direction to teams Implement and maintain CI/CD pipelines and Dev Ops practices Ensure system reliability, performance, and high availability Collaborate with product, security, and operations teams on solution design Conduct code reviews and enforce engineering best practices and standards Mentor and coach junior and mid level engineers Implement automated testing and quality assurance practices Contribute to cloud architecture and modernization initiatives Required Skills Software development (Java, C#, or similar OO language) Cloud platforms (AWS, Azure, or GCP) RESTful APIs and microservices architecture SQL and relational databases CI/CD tools (e.g., Jenkins, Git Hub Actions, Azure Dev Ops) Infrastructure as Code (e.g., Terraform, Cloud Formation) Automated testing frameworks (unit, integration, performance) Containerization and orchestration (Docker, Kubernetes) Secure coding and application security practices Monitoring and observability tools (e.g., Splunk, New Relic, Datadog)
Company: Alaska Airlines The Team: Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary: The Technology Compliance Program Manager Vulnerability Management is the sole subject matter expert in the technology compliance and vulnerability management domain. As an individual contributor, this role defines long-term strategy for the identification, assessment, prioritization, and remediation of security vulnerabilities across our technology environment and exercises considerable latitude and initiative to solve broad, complex problems. Key Duties: As the lead subject matter expert in technology compliance, ensure the vulnerability management program aligns with regulatory requirements (e.g., PCI-DSS, HIPAA, NIST, ISO 27001) and integrates with other security tools such as SIEM, CMDB, and ticketing systems. Define long-term strategy for developing, implementing, and continuously improving the enterprise vulnerability management strategy and roadmap. Influence across company and several levels up to execute on IT assessments focusing on compliance with information security policy, procedures and standards. Manage and optimize vulnerability management tools (e.g., Tenable, Qualys, Rapid7, etc.) to continuously improve the internal audit and risk management review. Consult Alaska Air Group divisions, IT departments and project resources regarding the development, management approval, and implementation of objectives, goals, policies, standards, guidelines, and other requirement statements needed to support information security compliance throughout the company. Serve as the primary point of contact between penetration testers and internal stakeholders, ensuring clear scope definition, rules of engagement, and minimal business disruption. Define and track key performance indicators (KPIs) and metrics to measure program effectiveness. Analyze and track findings, validate results, and work with relevant teams to prioritize and remediate identified vulnerabilities. Manage execution of timely delivery of reports to leadership and stakeholders, maintain documentation, and integrate findings into the broader vulnerability management lifecycle. Oversee regular vulnerability scanning and assessments across infrastructure, applications, and cloud environments. Facilitate, schedule, and coordinate internal and third-party penetration tests across applications, networks, and cloud environments. Maintain documentation and evidence for audits and compliance reviews. Job-Specific Experience, Education & Skills: Required 7 years of experience in IT Security and Compliance, or related area. Bachelor's degree in Information Security, Information Technology, Computer Science or related field, or an additional two years of relevant training/experience in lieu of this degree. Experience in project management, including all elements of scope, schedule, budgeting, risk evaluation, quality, integration, staffing, and communications. Knowledge of security regulations (e.g., Sarbanes-Oxley, Payment Card Industry Data Security Specification PCI DSS , Health Insurance Portability and Accountability Act HIPAA ) and standards (e.g. ISO 27001, NIST SP800-series). Excellent verbal and written communication skills. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. Preferred Industry certification in security (e.g. CISA, CISSP, and/or GIAC). Industry certification in project management (e.g. PMP). 2 years of experience leading people. Demonstrated knowledge and experience in information security, software development and/or network security for large organizations. Detailed technical knowledge in security engineering, system and network security, authentication and security protocols. Job-Specific Leadership Expectations: Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Create a culture where all employees feel safe and supported. Salary Range: $141,250 - $211,900 / year Salary Details: Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate. Note: We don't typically hire at the top of the range. Total Rewards: Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air Comprehensive well-being programs including medical, dental and vision benefits Generous 401k match program Annual bonus plans Generous holiday and paid time off For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits. Regulatory Information: Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 ("Section 503") and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 ("VEVRAA"). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. FLSA Status: Exempt Employment Type: Full-Time Regular/Temporary: Regular Requisition Type: Management Location: Seattle - Hub Featured Job: 0 A Y - T2 L
11/04/2026
Full time
Company: Alaska Airlines The Team: Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary: The Technology Compliance Program Manager Vulnerability Management is the sole subject matter expert in the technology compliance and vulnerability management domain. As an individual contributor, this role defines long-term strategy for the identification, assessment, prioritization, and remediation of security vulnerabilities across our technology environment and exercises considerable latitude and initiative to solve broad, complex problems. Key Duties: As the lead subject matter expert in technology compliance, ensure the vulnerability management program aligns with regulatory requirements (e.g., PCI-DSS, HIPAA, NIST, ISO 27001) and integrates with other security tools such as SIEM, CMDB, and ticketing systems. Define long-term strategy for developing, implementing, and continuously improving the enterprise vulnerability management strategy and roadmap. Influence across company and several levels up to execute on IT assessments focusing on compliance with information security policy, procedures and standards. Manage and optimize vulnerability management tools (e.g., Tenable, Qualys, Rapid7, etc.) to continuously improve the internal audit and risk management review. Consult Alaska Air Group divisions, IT departments and project resources regarding the development, management approval, and implementation of objectives, goals, policies, standards, guidelines, and other requirement statements needed to support information security compliance throughout the company. Serve as the primary point of contact between penetration testers and internal stakeholders, ensuring clear scope definition, rules of engagement, and minimal business disruption. Define and track key performance indicators (KPIs) and metrics to measure program effectiveness. Analyze and track findings, validate results, and work with relevant teams to prioritize and remediate identified vulnerabilities. Manage execution of timely delivery of reports to leadership and stakeholders, maintain documentation, and integrate findings into the broader vulnerability management lifecycle. Oversee regular vulnerability scanning and assessments across infrastructure, applications, and cloud environments. Facilitate, schedule, and coordinate internal and third-party penetration tests across applications, networks, and cloud environments. Maintain documentation and evidence for audits and compliance reviews. Job-Specific Experience, Education & Skills: Required 7 years of experience in IT Security and Compliance, or related area. Bachelor's degree in Information Security, Information Technology, Computer Science or related field, or an additional two years of relevant training/experience in lieu of this degree. Experience in project management, including all elements of scope, schedule, budgeting, risk evaluation, quality, integration, staffing, and communications. Knowledge of security regulations (e.g., Sarbanes-Oxley, Payment Card Industry Data Security Specification PCI DSS , Health Insurance Portability and Accountability Act HIPAA ) and standards (e.g. ISO 27001, NIST SP800-series). Excellent verbal and written communication skills. High school diploma or equivalent. Minimum age of 18. Must be authorized to work in the U.S. Preferred Industry certification in security (e.g. CISA, CISSP, and/or GIAC). Industry certification in project management (e.g. PMP). 2 years of experience leading people. Demonstrated knowledge and experience in information security, software development and/or network security for large organizations. Detailed technical knowledge in security engineering, system and network security, authentication and security protocols. Job-Specific Leadership Expectations: Embody our values to own safety, do the right thing, be caring and kind, and deliver performance. Create a culture where all employees feel safe and supported. Salary Range: $141,250 - $211,900 / year Salary Details: Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Hawaiian/Horizon employees. Alaska/Hawaiian/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate. Note: We don't typically hire at the top of the range. Total Rewards: Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by company, location, number of regularly scheduled hours worked, length of employment, and employment status. Free stand-by travel privileges on Alaska Airlines, Hawaiian Airlines & Horizon Air Comprehensive well-being programs including medical, dental and vision benefits Generous 401k match program Annual bonus plans Generous holiday and paid time off For more information about Alaska/Hawaiian/Horizon Total Rewards please visit our career site and view benefits. Regulatory Information: Equal Employment Opportunity Policy Statement It is the policy of Alaska Airlines, Hawaiian Airlines and Horizon Air to comply with all applicable federal, state and local laws governing nondiscrimination in employment and to ensure equal opportunity in all terms, conditions, and benefits of employment or potential employment. We also prohibit discrimination and harassment against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. We have established an EEO Compliance Program under Section 503 of the Rehabilitation Act of 1973 ("Section 503") and the Vietnam Era Veteran's Readjustment Assistance Act of 1974 ("VEVRAA"). All applicants and employees are treated without regard to their race, color, religion, sex, national origin, disability or protected veteran status. In addition, we have established an audit and reporting system to allow for effective measurement of its equal employment opportunity activities. To implement this policy, we will: (1) Recruit, hire, train and promote qualified persons in all job titles, without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and any other legally protected categories; (2) Ensure that employment decisions are based only on valid job requirements; and (3) Ensure that all personnel actions and employment activities such as compensation, benefits, promotions, layoffs, return from layoff, Alaska Airlines, Hawaiian Airlines and Horizon Air sponsored programs, and tuition assistance will be administered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information and other legally protected categories. Employees and applicants for employment will not be subjected to harassment, intimidation, threats, coercion or discrimination because they have engaged or may engage in (1) filing a complaint, (2) opposing any act or practice made unlawful by, or exercising any other right protected by, any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA, or (3) assisting or participating in any investigation, compliance evaluation, hearing, or any other activity related to the administration of any Federal, State or local law requiring equal opportunity, including Section 503 and the equal opportunity provisions of VEVRAA. Government Contractor & Department of Transportation (DOT) Regulations Alaska Airlines, Hawaiian Airlines & Horizon Air are regulated by the Department of Transportation (DOT - regulations, 49 CFR part 40) and all applicants are advised that post-offer and/or pre-employment drug testing will be conducted to determine the presence of marijuana, cocaine, opioids, phencyclidine (PCP) and amphetamines or a metabolite of these drugs prior to any offer or employment or transfer into a safety-sensitive position. Failure to submit to testing or positive indications of drug use will render the applicant ineligible for employment with Alaska Airlines/Hawaiian Airlines/Horizon Air and any employment offer will be withdrawn. FLSA Status: Exempt Employment Type: Full-Time Regular/Temporary: Regular Requisition Type: Management Location: Seattle - Hub Featured Job: 0 A Y - T2 L
Software Developer DEPARTMENT: Operations - Software REPORTS TO: Software Engineering Manager DIRECT REPORTS: None STATUS: Non-Exempt, Full-Time LOCATION: Holland Patent, NY, Hybrid Position PAY RANGE: $32.36 - $53.37 per hour ROLE OVERVIEW The Software Developer is responsible for using their knowledge of programming languages to design and create new software. Some of the duties include meeting with users to determine their software needs (requirements gathering), coding and testing software to ensure performance and functionality and managing APIs between system. ROLE CAPABILITIES Software Development & Maintenance Designs and builds software solutions based on defined requirementsMaintains and improves existing software across multiple functionality areasProduces efficient code that supports expected functionality and performanceManages APIs and integrations between systemsCorrects defects and implements fixes that restore expected behavior Software Collaboration Collaborates with management, departments, and customers to identify requirements and specificationsTranslates user needs into development tasks and technical specificationsWorks within a team environment to align development work to shared requirementsAssesses user feedback and observed issue patterns to recommend improvements Testing, Deployment & Issue Resolution Tests software to confirm performance and functionalityDeploys programs, applications, and release updatesTroubleshoots and debugs software issues across systems and integrationsIdentifies root causes and validates fixes before release Code Quality & Documentation Participates in code reviews to support code quality and consistencyRefactors code to improve maintainabilityDevelops technical documentation that supports future development workMaintains documentation aligned to system changes and improvements MINIMUM JOB QUALIFICATIONS: Associate's Degree in Computer Science and/or relevant working experienceA strong understanding of HTML and CSS, Database Design Principles, and Transact SQLA willingness to learn and use the PowerBuilder development language to maintain current in-house systemsDemonstrated ability to:Build and maintain trust-based relationshipsCommunicate effectively using a variety of technologies and methodsAdapt to changing priorities, processes, technologies, and business needs.Manage projects and priorities from planning through execution to achieve desired outcomes.Understand stakeholder needs, analyze information and data, and develop effective solutions that drive results.Valid driver's license or ability to access transportationAbility to reach, sit, stand, walk, push, pull, lift, use fingers, grasp, feel, talk, hear, and perform repetitive motions, exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. PREFERRED JOB QUALIFICATIONS: Bachelor's Degree in Computer ScienceExperience using Visual Studio to build solutions, ASP.NET MVC and .NET Core using C#, JavaScript (ES6)Experience or understanding of Source Control systems, especially GitHubKnowledge of Object-Relational Mapping frameworks, especially Entity Framework SCORECARD METRICS: Reduce Lead-to-Billed Days to below 236.Improve Mean Time to Resolution (MTTR) to under 48 hours.Improve MACD completion to under 48 hours.Deliver automation and AI initiatives that reduce manual effort and improve operational performance. Compensation details: 32.36-53.37 Hourly Wage PIbd5fe6-
11/04/2026
Full time
Software Developer DEPARTMENT: Operations - Software REPORTS TO: Software Engineering Manager DIRECT REPORTS: None STATUS: Non-Exempt, Full-Time LOCATION: Holland Patent, NY, Hybrid Position PAY RANGE: $32.36 - $53.37 per hour ROLE OVERVIEW The Software Developer is responsible for using their knowledge of programming languages to design and create new software. Some of the duties include meeting with users to determine their software needs (requirements gathering), coding and testing software to ensure performance and functionality and managing APIs between system. ROLE CAPABILITIES Software Development & Maintenance Designs and builds software solutions based on defined requirementsMaintains and improves existing software across multiple functionality areasProduces efficient code that supports expected functionality and performanceManages APIs and integrations between systemsCorrects defects and implements fixes that restore expected behavior Software Collaboration Collaborates with management, departments, and customers to identify requirements and specificationsTranslates user needs into development tasks and technical specificationsWorks within a team environment to align development work to shared requirementsAssesses user feedback and observed issue patterns to recommend improvements Testing, Deployment & Issue Resolution Tests software to confirm performance and functionalityDeploys programs, applications, and release updatesTroubleshoots and debugs software issues across systems and integrationsIdentifies root causes and validates fixes before release Code Quality & Documentation Participates in code reviews to support code quality and consistencyRefactors code to improve maintainabilityDevelops technical documentation that supports future development workMaintains documentation aligned to system changes and improvements MINIMUM JOB QUALIFICATIONS: Associate's Degree in Computer Science and/or relevant working experienceA strong understanding of HTML and CSS, Database Design Principles, and Transact SQLA willingness to learn and use the PowerBuilder development language to maintain current in-house systemsDemonstrated ability to:Build and maintain trust-based relationshipsCommunicate effectively using a variety of technologies and methodsAdapt to changing priorities, processes, technologies, and business needs.Manage projects and priorities from planning through execution to achieve desired outcomes.Understand stakeholder needs, analyze information and data, and develop effective solutions that drive results.Valid driver's license or ability to access transportationAbility to reach, sit, stand, walk, push, pull, lift, use fingers, grasp, feel, talk, hear, and perform repetitive motions, exert up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects. PREFERRED JOB QUALIFICATIONS: Bachelor's Degree in Computer ScienceExperience using Visual Studio to build solutions, ASP.NET MVC and .NET Core using C#, JavaScript (ES6)Experience or understanding of Source Control systems, especially GitHubKnowledge of Object-Relational Mapping frameworks, especially Entity Framework SCORECARD METRICS: Reduce Lead-to-Billed Days to below 236.Improve Mean Time to Resolution (MTTR) to under 48 hours.Improve MACD completion to under 48 hours.Deliver automation and AI initiatives that reduce manual effort and improve operational performance. Compensation details: 32.36-53.37 Hourly Wage PIbd5fe6-
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/04/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. A t Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Advanced Production and Automation is seeking a Manufacturing Systems and Simulation MP&P Engineer - Modeling & Simulation (Mid-Level or Lead) for the Production System Modeling, Simulation & Analysis team in North Charleston, SC. The chosen candidate will support the Production System Modeling, Simulation & Analysis team. We are an engineering team which is responsible for creating and implementing technical solutions that drive innovation into the aircraft production process. This team begins with ideas and concepts and delivers implementable hardware/software/industrial robotics solutions that support multiple programs across Boeing's platforms. We also lead non-program specific research and development efforts for our government customers in alignment with External Technical Associations. The chosen candidate will be motivated, self-driven and will have excellent written and verbal communication skills. The candidate will work in a team environment to provide solutions to a variety of technical problems of moderate scope and complexity. The candidate will support various projects, including research, test, development, and implementation for the Production System Modeling, Simulation & Analysis team 100% in-person. Some of the work we perform may take us to locations outside of the South Carolina area. Therefore, there will be times when business travel is required. Position Responsibilities: Develop, document, and maintain architectures, requirements, algorithms, interfaces, and design for software systems, automated hardware systems, and industrial robotics Develop and maintain code and integrate software components into a fully functional software system Perform engineering activities including development, integration, and testing of automated hardware systems Influence, innovate and continuously improve the engineering processes as well as the quality, safety and reliability of our products and services Collaborate proactively with customers, stakeholders, and peers to understand operational and performance expectations Support agile project management, project estimation, and planning Intellectual curiosity and willingness to learn and work with new technologies Cultivate a positive team culture Basic Qualifications (Required Skills/Experience): Bachelor of Science degree from an accredited course of study in engineering, engineering technology (includes manufacturing engineering technology), chemistry, physics, mathematics, data science, or computer science 3+ years of industry experience in aerospace or large-scale manufacturing Programming experience with at least one software programming language 3+ years of experience in programming and integrating automated manufacturing equipment, including CNC, PLC, and robotic systems, leveraging CAD/CAM and real-time software development Preferred Qualifications (Desired Skills/Experience): Level 3: 5+ years of related work experience or an equivalent combination of education and experience Level 4: 9+ years of related work experience or an equivalent combination of education and experience Skilled in applying data modeling techniques and tools to translate complex business processes into scalable data architectures In-depth knowledge of cross-functional engineering workflows and their influence on manufacturing, logistics, and business operations Ability to interpret and communicate complex technical information across electrical, mechanical, and systems engineering teams to support product lifecycle activities Proven ability to drive process innovation and system integration initiatives that optimize manufacturing schedules, reduce costs, and enhance product quality Competent in full software development lifecycle within manufacturing environments, delivering integrated solutions from engineering design through production deployment Strong collaborator with internal and external stakeholders to ensure automation systems meet evolving operational requirements and performance standards Experience with manufacturing assembly knowledge, GD&T, process engineering, drilling and fastening, metrology, linear algebra, geometry, numerical methods, 3D geometry, and computational methods Experience with database development, C# ASP.NET CORE MVC, C# ASP.NET CORE Blazor, software development best practices, clean code, Python, C++, Linux and Cloud Development, .NET Core framework, C# ASP.NET CORE MVC Travel: Less than 10% Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range for Mid-level: $112,200 - $151,800 Summary Pay Range for Lead : $136,850 - $185,150 Applications for this position will be accepted until Nov. 17, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- 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: 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. The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors. The Signal Processing team is seeking Principal Systems Engineer - EO/IR or RF Signal Processing engineers to join our PG&C Center in Tucson, AZ. As the Principal Systems Engineer - EO/IR or RF Signal Processing, you will collaborate in the design, development, prototyping, integration, testing, and performance assessment of radio frequency (RF) or electro-optical / infrared (EO/IR) algorithms and models. Used across our products and new business initiatives, signal processing algorithms extract and exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting, acquiring, tracking, and classifying objects of interest; and sensor fusion. This is an onsite position located in Tucson, AZ. What You Will Do You will act with advanced to expert knowledge of signal processing to support budget, schedule, development, execution, and completion of difficult and often complex missile systems program objectives. You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models. You will participate in engineering lab environments to test, verify, and validate sensor models and signal processing algorithm performance in accordance with requirements. You will focus on integration of algorithms into hardware and collaborate in all development phases from program start-up to live-fire testing, providing signal processing knowledge to resolve numerous and often undefined problems and issues in design reviews, peer reviews, and technical briefings to parties within and outside your own discipline. You will share your knowledge and mentor multiple team members. Qualifications You Must Have Typically requires a Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Signal processing experience in the EO/IR, RF, Sonar, and/or Acoustic domains. Experience with the C programming language, or Object-Oriented Programming experience with the C++, C#, and/or Java programming languages. Experience with algorithm design, implementation, analysis, testing, and/or optimization. Ability to obtain and maintain 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. Qualifications We Prefer Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Applied Math. Experience with missile systems applications supporting customer programs. Experience with version control tools such as Azure DevOps and Git. Subject Matter Expertise in multiple EO/IR or RF algorithms such as edge detection, segmentation, image restoration, adaptive processing, beamforming, angle estimation, synthetic aperture processing, waveform design, tracking, feature extraction, or classification / recognition. Proficiency in using MATLAB or Python for analysis of data sets. Strong communication skills, capable of presenting analysis to technical and non-technical audiences and advocating for best solutions and strategy. Experience with hardware/software integration. Experience managing or leading others in a technical and/or functional capacity within an engineering environment. Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or 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 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 118,300 USD - 224,900 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
11/04/2026
Full time
Date Posted: 2026-11-03 Country: United States of America Location: US-AZ-TUCSON- 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: 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. The Processing, Guidance and Controls (PG&C) Center within the Systems Engineering and Test Capabilities Discipline consists of Guidance, Navigation and Control; Signal Processing; and Modeling, Simulation, and Analysis disciplines for Effectors. The Signal Processing team is seeking Principal Systems Engineer - EO/IR or RF Signal Processing engineers to join our PG&C Center in Tucson, AZ. As the Principal Systems Engineer - EO/IR or RF Signal Processing, you will collaborate in the design, development, prototyping, integration, testing, and performance assessment of radio frequency (RF) or electro-optical / infrared (EO/IR) algorithms and models. Used across our products and new business initiatives, signal processing algorithms extract and exploit sensor signals to be used for calibrating and denoising raw sensor data; detecting, acquiring, tracking, and classifying objects of interest; and sensor fusion. This is an onsite position located in Tucson, AZ. What You Will Do You will act with advanced to expert knowledge of signal processing to support budget, schedule, development, execution, and completion of difficult and often complex missile systems program objectives. You will use and modify simulations for the design, development, prototyping, integration, testing, and performance assessment of signal processing algorithms and models. You will participate in engineering lab environments to test, verify, and validate sensor models and signal processing algorithm performance in accordance with requirements. You will focus on integration of algorithms into hardware and collaborate in all development phases from program start-up to live-fire testing, providing signal processing knowledge to resolve numerous and often undefined problems and issues in design reviews, peer reviews, and technical briefings to parties within and outside your own discipline. You will share your knowledge and mentor multiple team members. Qualifications You Must Have Typically requires a Degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Signal processing experience in the EO/IR, RF, Sonar, and/or Acoustic domains. Experience with the C programming language, or Object-Oriented Programming experience with the C++, C#, and/or Java programming languages. Experience with algorithm design, implementation, analysis, testing, and/or optimization. Ability to obtain and maintain 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. Qualifications We Prefer Advanced Degree in Electrical Engineering, Computer Engineering, Physics, or Applied Math. Experience with missile systems applications supporting customer programs. Experience with version control tools such as Azure DevOps and Git. Subject Matter Expertise in multiple EO/IR or RF algorithms such as edge detection, segmentation, image restoration, adaptive processing, beamforming, angle estimation, synthetic aperture processing, waveform design, tracking, feature extraction, or classification / recognition. Proficiency in using MATLAB or Python for analysis of data sets. Strong communication skills, capable of presenting analysis to technical and non-technical audiences and advocating for best solutions and strategy. Experience with hardware/software integration. Experience managing or leading others in a technical and/or functional capacity within an engineering environment. Ability to interface with adjacent engineering disciplines such as Guidance, Navigation, and Control; Software Engineering; Systems Engineering; or 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 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 118,300 USD - 224,900 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
Date Posted: 2026-10-20 Country: United States of America Location: US-MA-MARLBOROUGH-MA1 1001 Boston Post Rd BLDG 1 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. The Systems Engineering and Test Capabilities (SE&TC) organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), algorithm development and system performance. The Radar Systems Department within the SE&TC is seeking a Senior Systems Engineer to help in the development of requirements, concepts of operations and algorithms, and the execution of integration and analysis activities. Every day brings new challenges and opportunities to solve complex problems. In this role, you'll collaborate across disciplines and partner closely with engineering teams to turn ideas into integrated, working solutions. This is a hands-on, high-impact role where your work directly enables teams to deliver reliable, mission-ready systems. What You Will Do In this role, you will support one or more of the following types of activities: Develop concepts of operations for radar systems. Develop radar processing algorithm. Develop Radar systems/software requirements. Be responsible for statistical and numerical analysis of radar performance data Be responsible for analysis tool development in support of problem identification and resolution. Collaborate with Systems and Software Engineers to develop and implement solutions. Present findings and solutions to Leadership and/or Customers. This role can be based out of either Tewksbury, MA or Marlborough, MA. May require up to 20% travel to RTX facilities, test sites, vendor facilities, and customer locations to support test events and mission execution. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience with systems hardware, systems/software requirements, systems integration, and/or systems test Experience with MATLAB, Python, C/C++ and/or other programming language. Qualifications We Prefer Experience with design, development, and analysis of radar system and software architecture. Experience with signal processing techniques in complex propagation environments. Proven experience in system-level requirements development, documentation, and maintenance, or design and development of system-level software architecture. Experience with DOORS, Rhapsody, Cameo or other digital engineering tools. Experience with evaluating systems using simulated environments. Experience with military systems. Current/Active DoD security clearance. 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 Eligibility- Relocation assistance available 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. 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
11/04/2026
Full time
Date Posted: 2026-10-20 Country: United States of America Location: US-MA-MARLBOROUGH-MA1 1001 Boston Post Rd BLDG 1 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. The Systems Engineering and Test Capabilities (SE&TC) organization is the central focus for Mission Systems Integration activities within Raytheon, responsible for defining customer needs, functional and product architecture, requirements definition and decomposition, Model Based Systems Engineering (MBSE), algorithm development and system performance. The Radar Systems Department within the SE&TC is seeking a Senior Systems Engineer to help in the development of requirements, concepts of operations and algorithms, and the execution of integration and analysis activities. Every day brings new challenges and opportunities to solve complex problems. In this role, you'll collaborate across disciplines and partner closely with engineering teams to turn ideas into integrated, working solutions. This is a hands-on, high-impact role where your work directly enables teams to deliver reliable, mission-ready systems. What You Will Do In this role, you will support one or more of the following types of activities: Develop concepts of operations for radar systems. Develop radar processing algorithm. Develop Radar systems/software requirements. Be responsible for statistical and numerical analysis of radar performance data Be responsible for analysis tool development in support of problem identification and resolution. Collaborate with Systems and Software Engineers to develop and implement solutions. Present findings and solutions to Leadership and/or Customers. This role can be based out of either Tewksbury, MA or Marlborough, MA. May require up to 20% travel to RTX facilities, test sites, vendor facilities, and customer locations to support test events and mission execution. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience. Experience with systems hardware, systems/software requirements, systems integration, and/or systems test Experience with MATLAB, Python, C/C++ and/or other programming language. Qualifications We Prefer Experience with design, development, and analysis of radar system and software architecture. Experience with signal processing techniques in complex propagation environments. Proven experience in system-level requirements development, documentation, and maintenance, or design and development of system-level software architecture. Experience with DOORS, Rhapsody, Cameo or other digital engineering tools. Experience with evaluating systems using simulated environments. Experience with military systems. Current/Active DoD security clearance. 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 Eligibility- Relocation assistance available 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. 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
Date Posted: 2026-11-03 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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 after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do Embedded Security Software Engineer - Secure Product Assurance Join the Secure Product Assurance/Sensors Space and Air Software team at Raytheon, where we develop cutting-edge software applications focused on solving our customers' toughest defense challenges. In this role, you will be part of an elite software engineering team to design, code, integrate, and test critical real-time embedded software with applications to advance next generation radar, sensor, guidance, and fire control systems. Operating at the leading edge of technology, you will contribute across all phases of the software development lifecycle to deliver innovative solutions that help keep our nation and allies safe. Key Responsibilities: Work on complex technical problems and collaborate to provide innovative solutions. Requires investigation and troubleshooting skills to assess issues and develop resolutions. Work at all phases of the SW development lifecycle, including SW/HW integration, dependent on program phase Assist in the derivation of system and software requirements, architectural modeling, and technical analysis Design, code, unit test, integrate, and document real-time embedded software solutions with a focus on Secure Software Solution implementations. Participate actively in software peer reviews, code inspections, and technical decision-making alongside multidisciplinary teams, including program leadership and customers Support program execution to ensure work products meet technical, cost, schedule, and quality baselines. Follow established software development processes and practices to maintain software product integrity. Work Location: Onsite at our Tewksbury, MA Campus This position requires the eligibility to obtain a security clearance. Except in rare circumstances, only U.S. citizens are eligible for a security clearance. Qualifications You Must Have Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) discipline from accredited institution. Degree must be obtained by start date. Experience developing, and testing or debugging software using C, C++, or similar object-oriented programming language Experience with scripting languages such as Python, Perl or similar Real time embedded software development experience Strong hands-on troubleshooting and problem-solving experience Experience developing software in a team-based development environment with strong teamwork and communication skills. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Knowledge of Software Development Processes and experience participating in all phases of the Software Development Life Cycle (SDLC), including requirements, design, implementation, and testing Experience working with Continuous Integration/Continuous Deployment (CI/CD) pipelines and automated build environments. Familiarity with Scrum/Agile, DevSecOps, Git/GitLab Familiarity with Linux OS and Kernal development; Linux device drivers Hands-on experience developing low-level device drivers or real-time embedded operating system (RTOS) applications. Hardware / software integration experience Interfacing with FPGAs Inter-processor communication X-86 and ARM Architectures Secure boot concepts Embedded Software Security experience Experience designing, implementing, testing, or fielding real-time security-oriented solutions on Department of Defense (DoD) programs (embedded experience highly preferred) What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role. 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 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 57,200 USD - 108,800 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
11/04/2026
Full time
Date Posted: 2026-11-03 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. 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 after day 1 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. What You Will Do Embedded Security Software Engineer - Secure Product Assurance Join the Secure Product Assurance/Sensors Space and Air Software team at Raytheon, where we develop cutting-edge software applications focused on solving our customers' toughest defense challenges. In this role, you will be part of an elite software engineering team to design, code, integrate, and test critical real-time embedded software with applications to advance next generation radar, sensor, guidance, and fire control systems. Operating at the leading edge of technology, you will contribute across all phases of the software development lifecycle to deliver innovative solutions that help keep our nation and allies safe. Key Responsibilities: Work on complex technical problems and collaborate to provide innovative solutions. Requires investigation and troubleshooting skills to assess issues and develop resolutions. Work at all phases of the SW development lifecycle, including SW/HW integration, dependent on program phase Assist in the derivation of system and software requirements, architectural modeling, and technical analysis Design, code, unit test, integrate, and document real-time embedded software solutions with a focus on Secure Software Solution implementations. Participate actively in software peer reviews, code inspections, and technical decision-making alongside multidisciplinary teams, including program leadership and customers Support program execution to ensure work products meet technical, cost, schedule, and quality baselines. Follow established software development processes and practices to maintain software product integrity. Work Location: Onsite at our Tewksbury, MA Campus This position requires the eligibility to obtain a security clearance. Except in rare circumstances, only U.S. citizens are eligible for a security clearance. Qualifications You Must Have Bachelor's degree in Science, Technology, Engineering, or Mathematics (STEM) discipline from accredited institution. Degree must be obtained by start date. Experience developing, and testing or debugging software using C, C++, or similar object-oriented programming language Experience with scripting languages such as Python, Perl or similar Real time embedded software development experience Strong hands-on troubleshooting and problem-solving experience Experience developing software in a team-based development environment with strong teamwork and communication skills. Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Knowledge of Software Development Processes and experience participating in all phases of the Software Development Life Cycle (SDLC), including requirements, design, implementation, and testing Experience working with Continuous Integration/Continuous Deployment (CI/CD) pipelines and automated build environments. Familiarity with Scrum/Agile, DevSecOps, Git/GitLab Familiarity with Linux OS and Kernal development; Linux device drivers Hands-on experience developing low-level device drivers or real-time embedded operating system (RTOS) applications. Hardware / software integration experience Interfacing with FPGAs Inter-processor communication X-86 and ARM Architectures Secure boot concepts Embedded Software Security experience Experience designing, implementing, testing, or fielding real-time security-oriented solutions on Department of Defense (DoD) programs (embedded experience highly preferred) What We Offer: Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! Please consider the following role type definition as you apply for this role. 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 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 57,200 USD - 108,800 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 Job Description NTT Data's client is currently seeking a Data Center Technician to join their team in Amarillo, Texas. Job Description: Lead MAC operations and ensure compliance with cabling and racking standards. Run copper and fiber cabling, including labeling and documenting connections. Independently perform racking, stacking, and structured cabling for new deployments. Troubleshoot network connectivity and hardware issues, including fiber diagnostics. Coordinate with vendors and internal teams to support infrastructure upgrades. Key Responsibilities: Ensures that the assigned infrastructure at the client site is configured, installed, tested and operational. Ensures that any software that is part of the solution is installed and configured according to client requirements. Proactively identifies problems and errors as they occur and logs such incidents in a timely manner with the required level of detail. Liaises with all stakeholders including client IT environments, carriers and colleagues to expediate diagnosis of errors and problems and to identify a resolution. Investigates second line support calls assigned and identifies the root cause of incidents and problems following knowledge articles. Responds to and diagnoses all alerts, escalate to L3 Field Engineer when unable to resolve within the stipulated time. Ensures incidents are updated with progress and resolution details in a timely manner using the required platform. Ensures the efficient and comprehensive resolution of incidents and requests. Applies tools, techniques and processes to track, log, report on and correct configuration items, components and changes. Investigates problems in systems, processes and services and assists with the implementation of agreed remedies and preventative measures. Provides second line remote and onsite technical support to clients. Provides second line field engineering services to clients. Reports and escalates issues to 3rd party vendors if necessary. Follows the required handover procedures for shift changes to ensure service continuity. Knowledge and Attributes: Good communication skills, both verbal and written. Ability to plan activities and projects well in advance and take into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place client at the forefront of all interactions, understanding their requirements and creating a positive client experience throughout the total client journey. Academic Qualifications and Certifications: Bachelor's degree or equivalent in Information Technology or Computing or related field. Professional level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNP (DC), ONTApp etc. Required experience: 3+ years of experience in building, deploying and supporting data center networking infrastructure. Intermediate knowledge of data center network equipment like Nexus and MDS series switching and integration into server and storage technologies. About NTT DATA: NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is hourly range $30.00hr to $35.00/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at -us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
11/04/2026
Full time
Job Description Job Description NTT Data's client is currently seeking a Data Center Technician to join their team in Amarillo, Texas. Job Description: Lead MAC operations and ensure compliance with cabling and racking standards. Run copper and fiber cabling, including labeling and documenting connections. Independently perform racking, stacking, and structured cabling for new deployments. Troubleshoot network connectivity and hardware issues, including fiber diagnostics. Coordinate with vendors and internal teams to support infrastructure upgrades. Key Responsibilities: Ensures that the assigned infrastructure at the client site is configured, installed, tested and operational. Ensures that any software that is part of the solution is installed and configured according to client requirements. Proactively identifies problems and errors as they occur and logs such incidents in a timely manner with the required level of detail. Liaises with all stakeholders including client IT environments, carriers and colleagues to expediate diagnosis of errors and problems and to identify a resolution. Investigates second line support calls assigned and identifies the root cause of incidents and problems following knowledge articles. Responds to and diagnoses all alerts, escalate to L3 Field Engineer when unable to resolve within the stipulated time. Ensures incidents are updated with progress and resolution details in a timely manner using the required platform. Ensures the efficient and comprehensive resolution of incidents and requests. Applies tools, techniques and processes to track, log, report on and correct configuration items, components and changes. Investigates problems in systems, processes and services and assists with the implementation of agreed remedies and preventative measures. Provides second line remote and onsite technical support to clients. Provides second line field engineering services to clients. Reports and escalates issues to 3rd party vendors if necessary. Follows the required handover procedures for shift changes to ensure service continuity. Knowledge and Attributes: Good communication skills, both verbal and written. Ability to plan activities and projects well in advance and take into account possible changing circumstances. Ability to maintain a positive outlook at work. Ability to work well in a pressurized environment. Ability to work hard and put in longer hours when it is necessary. Ability to apply active listening techniques such as paraphrasing the message to confirm understanding, probing for further relevant information and refraining from interrupting. Ability to adapt to changing circumstances. Ability to place client at the forefront of all interactions, understanding their requirements and creating a positive client experience throughout the total client journey. Academic Qualifications and Certifications: Bachelor's degree or equivalent in Information Technology or Computing or related field. Professional level certification in different Data Centre technologies such as Cisco, NetApp, EMC- Ex: CCNP (DC), ONTApp etc. Required experience: 3+ years of experience in building, deploying and supporting data center networking infrastructure. Intermediate knowledge of data center network equipment like Nexus and MDS series switching and integration into server and storage technologies. About NTT DATA: NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is hourly range $30.00hr to $35.00/hr. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at -us . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIc68a4-6194
11/04/2026
Full time
Description: GXM is seeking a full-time Enterprise Architect to support enterprise architecture development, digital engineering initiatives, and strategic mission integration activities supporting advanced operational Command and Control (C2) environments. The ideal candidate will possess deep expertise in Enterprise Architecture, operational mission systems, Digital Engineering, and Model-Based Systems Engineering (MBSE) with the ability to architect scalable operational solutions across cloud infrastructure, mission applications, operational data environments, cyber security domains and distributed mission systems. This role serves as the strategic architecture authority responsible for defining the target state operational architecture, integrations standards, interoperability frameworks, and long-term scalability model supporting integrated multi-domain mission operations. This individual will support modernization initiatives involving integrated C2 architectures, cloud-native mission systems, operational data fusion environments, AI/ML-enabled analytics platforms, and Joint Force operational integration constructs across defense environments. This role is onsite in Colorado Springs, CO. Hybrid flexibility may be available over time based on mission requirements, program execution needs and achievement of objectives. Responsibilities Serve as the strategic architecture authority for integrated multi-domain C2 mission environment. Develop and maintain enterprise and operational system architectures supporting integrated operational and mission environments. Define and maintain the overall C2 architecture baseline, including operational concepts, integration standards, interface strategies, interoperability frameworks, and long-term scalability models. Apply Model-Based Systems Engineering (MBSE) methodologies to support system architecture development, requirements traceability, integration planning, digital engineering and lifecycle engineering activities. Develop and maintain engineering artifacts, system models, interface definitions, and architecture products, operational workflows, and reference architectures supporting integrated mission operations. Utilize MBSE tools and enterprise architecture frameworks to support digital engineering and operational mission architecture activities. Develop integrated engineering execution plans and schedules using Cameo Systems Modeler or similar enterprise planning tools. Architect scalable cloud, hybrid-cloud, and distributed system environments supporting operational mission needs. Define enterprise integration standards supporting APIs, middleware, event-driven architectures, operational data exchange frameworks, and mission interoperability requirements. Contribute to technical solution development involving AI/ML-enabled operation analytics, DevSecOps pipelines, cybersecurity architectures, software engineering, and operational data fusion capabilities. Develop integrated engineering execution roadmaps, transition architectures, modernization strategies, and scalability frameworks supporting follow-on operational deployment. Collaborate with engineering teams, leadership, and government stakeholders to refine operational mission architectures. Requirements: U.S. Citizen and Active TS/SCI clearance required. Bachelor's degree in systems engineering, Computer Science, Engineering, Information Systems, or related technical field. 8+ years of experience supporting enterprise architecture, operational mission systems, systems engineering, or strategic modernization initiatives within defense or intelligence environments. Strong understanding of Enterprise Architecture, Digital Engineering, and Model-Based Systems Engineering (MBSE) principles. Experience defining architecture governance standards, integration frameworks, interface strategies, and target-state operational architecture. Experience developing enterprise/system architectures, engineering artifacts, integration strategies, and operational workflows. Experience using Cameo Systems Modeler or other Digital Engineering toolsets to develop operational architecture products, integrated engineering execution models, system interaction diagrams, mission workflows, interface definitions, and requirements traceability artifacts supporting complex mission and operational environments. Understanding of cloud architectures, DevSecOps, cybersecurity, AI/ML, system integration, and enterprise modernization approaches. Strong communication, collaboration, and technical writing skills. Proven ability to communicate complex technical architectures to Government leadership, operational stakeholders, and engineering teams. Desired Qualifications Experience supporting defense, space, or multi-domain operational environments. Experience supporting DoD, federal mission systems, enterprise modernization, or operational C2 environments. Experience with MBSE tools such as Cameo Systems Modeler or other Digital Engineering tools. Expert with DoDAF, UAF, SysML, BPMN, and related enterprise architecture, operational architecture, MBSE frameworks supporting DoD mission engineering and digital engineering initiatives. Experience with enterprise cloud platforms, cloud-native and hybrid-cloud environments, container orchestration technologies, and distributed mission infrastructure supporting secure operational workloads. Knowledge of RMF, DISA STIGs, and Zero Trust cybersecurity frameworks. Experience supporting proposals, capture, or strategic modernization efforts for federal or defense programs. $150,000-$235,000 salary + annual bonus eligibility + medical/dental/vision/STD/LTD/Life + 401(k) + PTO Equal Employment Opportunity / Legal Disclaimer GXM Technologies LLC is an Equal Opportunity Employer and participates in E-Verify to confirm employment eligibility. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other legally protected status. GXM Technologies LLC provides reasonable accommodations in accordance with applicable law. This job description is not intended to be a complete list of duties and responsibilities, which may change at any time with or without notice. Employment is at-will where permitted by law , meaning either the employee or the Company may terminate employment at any time, with or without cause or notice, subject to applicable legal requirements. PIc68a4-6194
Date Posted: 2026-10-07 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord 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 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. This is an onsite entry level role located in Andover, Tewksbury, Woburn, Marlborough MA or Pelham, NH What You Will Do Support testing effort: Develop and implement test plans, procedures, integration, and verification in both simulated and real-world environments Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed analysis and debugging Drive Performance: Collaborate across functions to drive performance improvements and resolve system issues Modeling and Analysis: Utilize modeling and simulation tools to predict system performance and support verification and validation Integrate Systems: Integrate hardware and software into tactical systems in field test and hardware in the loop environments, evaluating their functionality and impact. Collaborate: Work with a multi-disciplinary team to achieve seamless integration and system functionality Document and Communicate: Develop integration documentation, execute plans, analyze data, verify requirements, and effectively communicate results to leadership and stakeholders Support Missions: Travel as needed (up to 15%) to support mission execution at various locations including local RTX facilities, test sites, vendor facilities, and customer locations occurring primarily during first shift and part time section shift hours. This role is onsite at our RTX facility in Andover, MA. Local travel between Raytheon locations in MA and Southern NH may also be required Qualifications You Must Have Master's degree in Science, Technology, Engineering, or Mathematics (STEM) major obtained by start date Experience with generating technical documentation, such as test plans, procedures, or technical reports Experience with troubleshooting technical issues in an academic or internship setting Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Active and transferable U.S. government issued security clearance Experience with radar systems, weapons systems, or command and control systems Experience working in an integration lab, test facility, or in the field supporting integration and/or verification Proficiency with commonly used test equipment, such as Oscilloscopes, Network Analyzers, Spectrum Analyzers, etc. Experience with requirements management tools (e.g., DOORS or equivalent) and configuration control practices Experience with MATLAB, Python, JavaScript, C/C++ and/or other programming languages What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility 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. 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
11/04/2026
Full time
Date Posted: 2026-10-07 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord 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 Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. This is an onsite entry level role located in Andover, Tewksbury, Woburn, Marlborough MA or Pelham, NH What You Will Do Support testing effort: Develop and implement test plans, procedures, integration, and verification in both simulated and real-world environments Troubleshoot and Analyze: Identify and resolve hardware, software, and system issues through detailed analysis and debugging Drive Performance: Collaborate across functions to drive performance improvements and resolve system issues Modeling and Analysis: Utilize modeling and simulation tools to predict system performance and support verification and validation Integrate Systems: Integrate hardware and software into tactical systems in field test and hardware in the loop environments, evaluating their functionality and impact. Collaborate: Work with a multi-disciplinary team to achieve seamless integration and system functionality Document and Communicate: Develop integration documentation, execute plans, analyze data, verify requirements, and effectively communicate results to leadership and stakeholders Support Missions: Travel as needed (up to 15%) to support mission execution at various locations including local RTX facilities, test sites, vendor facilities, and customer locations occurring primarily during first shift and part time section shift hours. This role is onsite at our RTX facility in Andover, MA. Local travel between Raytheon locations in MA and Southern NH may also be required Qualifications You Must Have Master's degree in Science, Technology, Engineering, or Mathematics (STEM) major obtained by start date Experience with generating technical documentation, such as test plans, procedures, or technical reports Experience with troubleshooting technical issues in an academic or internship setting Experience may be obtained through on-the-job experience, research, coursework, or projects. Qualifications We Prefer Active and transferable U.S. government issued security clearance Experience with radar systems, weapons systems, or command and control systems Experience working in an integration lab, test facility, or in the field supporting integration and/or verification Proficiency with commonly used test equipment, such as Oscilloscopes, Network Analyzers, Spectrum Analyzers, etc. Experience with requirements management tools (e.g., DOORS or equivalent) and configuration control practices Experience with MATLAB, Python, JavaScript, C/C++ and/or other programming languages What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligibility 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. 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
Date Posted: 2026-09-11 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord 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. At RTX, the world 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 through highly engaged Engineering talent while investing in Generative AI and Machine Learning solutions to support solving the toughest challenges. 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. The mission of the software team in Tewksbury and Woburn, MA is to provide world-class software for our customers. We are looking to add software engineers to our development team for a wide array of products including Battle Management, Command & Control, Communications, Effectors, and Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, cross-discipline integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Participate in agile execution and continuous improvement Work collaboratively to analyze, implement and test system Qualifications You Must Have: Bachelor's Degree in Computer Science, Computer Engineering or a related (STEM) discipline Minimum of two (2) or more years of relevant software programming experience in development, integration, and/or test using C++, C#, Java or similar object-oriented software language Qualifications We Prefer: Strong problem-solving, teamwork and communication skills Desire and ability to learn new technologies and tools Experience working in Agile environment such as Scrum, SAFe, Test-Driven Development, DevSecOps Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience with integrated development tools such as Azure, Git, Atlassian Suite, Jenkins, Eclipse, and Ansible Experience working in a continuous integration/continuous development pipeline Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design principles 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 Raytheon Virtual Site Tours: Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. 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
11/04/2026
Full time
Date Posted: 2026-09-11 Country: United States of America Location: US-MA-TEWKSBURY-TB3 50 Apple Hill Dr CONCORD BLDG, Tewksbury Tb3 300 Concord 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. At RTX, the world 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 through highly engaged Engineering talent while investing in Generative AI and Machine Learning solutions to support solving the toughest challenges. 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. The mission of the software team in Tewksbury and Woburn, MA is to provide world-class software for our customers. We are looking to add software engineers to our development team for a wide array of products including Battle Management, Command & Control, Communications, Effectors, and Surveillance and Warning systems. We value your diverse skills and experience, so don't hold back. Your qualifications add tremendous value to our team. Our customers come from all different backgrounds, and so do our employees. If you're passionate about what you could accomplish here, we'd love to hear from you. What You Will Do: Participate in collaborative, cross-discipline integrated product teams, employ agile software development techniques and resources to develop, test, and integrate complex software and systems solutions for aerospace and defense applications Participate in agile execution and continuous improvement Work collaboratively to analyze, implement and test system Qualifications You Must Have: Bachelor's Degree in Computer Science, Computer Engineering or a related (STEM) discipline Minimum of two (2) or more years of relevant software programming experience in development, integration, and/or test using C++, C#, Java or similar object-oriented software language Qualifications We Prefer: Strong problem-solving, teamwork and communication skills Desire and ability to learn new technologies and tools Experience working in Agile environment such as Scrum, SAFe, Test-Driven Development, DevSecOps Ability to work in a fast-paced, dynamic environment with time-critical requirements Experience contributing to a team environment for the purpose of developing creative solutions to difficult technical problems Experience with integrated development tools such as Azure, Git, Atlassian Suite, Jenkins, Eclipse, and Ansible Experience working in a continuous integration/continuous development pipeline Knowledge of Red Hat and/or Linux Operating Systems Exposure to Open Systems Architectures and modular design principles 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 Raytheon Virtual Site Tours: Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as: 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. 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
Date Posted: 2026-10-23 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG 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. Raytheon's Systems Engineering and Test Capabilities (SE&TC) Surface Radars & Sensors Center is seeking a Principal Systems Engineer to join our Systems Integration & Test Long Range Radars Department within the Systems Engineering & Test Capabilities Directorate. The team is seeking a Principal Systems Engineer who will support one of a variety of Radar programs including AN/TPY-2 and XBR. This includes supporting the systems data analysis and integration tasks and scope planning to create milestones and schedules and working competing priorities. Typical daily activities executed by the teams include scenario development, testing, data analysis, support to software development and systems engineering teams, and customer presentations. The individual will contribute to growing the team's abilities and be able to work with both internal and external customers. What You Will Do Participate in integration and test planning/execution, executing verification/validation events, and perform scenario-based analysis to identify and resolve technical observations. Complete system performance assessments and validation testing to ensure compliance with requirements and specifications. Execute integration plans and testing activities according to defined tasks. Integrate and test radar system software builds in a String/HWIL facility for supporting. Collaborate with cross-program leads/stakeholders to generate test approaches, ensure test-setup readiness, and participate in key processes (peer, gate, and test readinessreviews). Confirm test and evaluation processes are conducted according to established procedures for software and hardware and ensure compliance with Department of Defense technology release and export licensing policies. Willingness for 10% local and non-local travel including experience with domestic and foreign military sales products. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience with MATLAB, Python, Perl, C/C++, Linux, Unix, and/or other programming languages. Experience with systems engineering, radar data analysis, integration, verification, validation and/or system testing. Qualifications We Prefer Experience using String/HWIL test equipment, radio frequency (RF) electronic hardware configuration and installation, software installations, and integrating or regression testing radar systems with certifications in CompTIA Network+ and or CompTIA Security+. Experience with MATLAB, Linux Operating Systems (Linux Red Hat), Unix, and Shell scripting for performing integration, verification, test, and data analysis, integrating and configuring electronics, installing/debugging software. Experience creating integration test procedures, test plans, test scripts, developing and maintaining configuration control documentation, and navigating through test setup schematics. Experience with agile and DevSecOps processes, implement (or maintain) agile methodologies, participating in daily team standup meetings, sprint reviews, program Increment (PI) Planning meetings, retrospectives, and agile tooling such as JIRA and Confluence, and support execution of the team's backlog including performance analysis and issue investigation. 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 Eligibility- Relocation assistance available 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 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
11/04/2026
Full time
Date Posted: 2026-10-23 Country: United States of America Location: US-MA-TEWKSBURY-TB1 50 Apple Hill Dr ASSABET BLDG 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. Raytheon's Systems Engineering and Test Capabilities (SE&TC) Surface Radars & Sensors Center is seeking a Principal Systems Engineer to join our Systems Integration & Test Long Range Radars Department within the Systems Engineering & Test Capabilities Directorate. The team is seeking a Principal Systems Engineer who will support one of a variety of Radar programs including AN/TPY-2 and XBR. This includes supporting the systems data analysis and integration tasks and scope planning to create milestones and schedules and working competing priorities. Typical daily activities executed by the teams include scenario development, testing, data analysis, support to software development and systems engineering teams, and customer presentations. The individual will contribute to growing the team's abilities and be able to work with both internal and external customers. What You Will Do Participate in integration and test planning/execution, executing verification/validation events, and perform scenario-based analysis to identify and resolve technical observations. Complete system performance assessments and validation testing to ensure compliance with requirements and specifications. Execute integration plans and testing activities according to defined tasks. Integrate and test radar system software builds in a String/HWIL facility for supporting. Collaborate with cross-program leads/stakeholders to generate test approaches, ensure test-setup readiness, and participate in key processes (peer, gate, and test readinessreviews). Confirm test and evaluation processes are conducted according to established procedures for software and hardware and ensure compliance with Department of Defense technology release and export licensing policies. Willingness for 10% local and non-local travel including experience with domestic and foreign military sales products. Qualifications You Must Have Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 8 years of prior relevant experience. Experience with MATLAB, Python, Perl, C/C++, Linux, Unix, and/or other programming languages. Experience with systems engineering, radar data analysis, integration, verification, validation and/or system testing. Qualifications We Prefer Experience using String/HWIL test equipment, radio frequency (RF) electronic hardware configuration and installation, software installations, and integrating or regression testing radar systems with certifications in CompTIA Network+ and or CompTIA Security+. Experience with MATLAB, Linux Operating Systems (Linux Red Hat), Unix, and Shell scripting for performing integration, verification, test, and data analysis, integrating and configuring electronics, installing/debugging software. Experience creating integration test procedures, test plans, test scripts, developing and maintaining configuration control documentation, and navigating through test setup schematics. Experience with agile and DevSecOps processes, implement (or maintain) agile methodologies, participating in daily team standup meetings, sprint reviews, program Increment (PI) Planning meetings, retrospectives, and agile tooling such as JIRA and Confluence, and support execution of the team's backlog including performance analysis and issue investigation. 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 Eligibility- Relocation assistance available 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 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
