2136 Software Engineer jobs

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Manager Software Engineering 2 Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world's biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today. Job Description We are looking for you to join our team as a Software Engineering Manager 2, based out of Huntsville, AL. Software Management responsibilities include day-to-day communications, performance assessment and feedback, career counseling, professional development, employee succession planning, employee rewards and recognition, conflict resolution and resolving personnel issues for approximately 10-18 direct reports and an overall department organizational size of approximately 80 engineers. This role will have an average of 25% management responsibilities and 75% program responsibilities. Program responsibilities include, responsibility for developing and implementing software updates that best meet changing customer needs on a Space Systems Missile Defense Integration (MDI) Business Unit Program. Key Responsibilities: Development and advancement of engineering practices, identification of skill gaps, college & intern recruiting, and increasing engineering competencies through strategic hiring and employee skills development. Demonstrate strong leadership skills to achieve sustainable top performance. Serve as an effective collaborator, communicator and problem solver who can develop and maintain good working relationships with internal and external stakeholders. Demonstrate a commitment to ethics and integrity, and the capability to innovate while challenging traditional ways of doing business. Develop diverse and inclusive teams with high levels of engagement, including mentoring and coaching. Broad skill set balanced between interpersonal, business, and technical capabilities. Operate in a team environment and collaborate across the organization as required to accomplish the team goals Prioritize and adjust tasks to accomplish project results with limited oversight and direction. Apply "systems thinking" to ensure developed products are scalable, maintainable, and meet end-user needs. Work closely with the directors and managers of other engineering disciplines, product managers, and program senior leadership team Champion change within the organization, to achieve competitive advantage for the business. Support Proposal Preparation, Review and Approval Process. Develop and Perform to a Strategic Plan including multi-year sales and marketing strategic plans that identify key products and markets that will enable the company to achieve its goals of growth and profitability. Build and execute marketing and communications plans to support the specific opportunities. Regularly report to the company's Management Team the status of all major Advanced Programs opportunities assigned, and the status toward achieving the awards plan Basic Qualifications: 8 years of experience with a Bachelors' degree in Software Engineering or STEM discipline; 6 years of experience with a Masters' degree in Software Engineering or STEM discipline or 4 years with a PHD in Software Engineering or STEM discipline. Experience developing software in object-oriented programming languages such as C, C++, or Java. Experience analyzing complex problems and developing solutions based on limited direction and definition. Development utilizing a Linux based development environment. Active secret clearance required Previous experience in People and Technical Leadership roles Working knowledge of Staffing, Engineering Metrics and Training resources, processes, and tools Business Acumen: The ability to apply knowledge, insights and understanding of business and financial concepts, tools, and processes to the benefit of program decisions, actions, and performance Demonstrated customer interface skills Demonstrated large-team organizational and communication skills Demonstrated executive communication, presentation, and collaboration skills Issue & Problem Resolution: The ability to identify and address program impacts through a systematic, proactive, approach to issue and problem resolution that identifies, communicates, monitors, and promptly resolves conflicts across all levels of the program Proven successful experience at managing individual contributor performance and team performance. Resources: The ability to plan for, identify, estimate, cost, acquire, schedule, and retire resources needed to satisfy program requirements within organizational constraints Resource planning and staffing to plan Resources: The ability to plan for, identify, estimate, cost, acquire, schedule, and retire resources needed to satisfy program requirements within organizational constraints Resource planning and staffing to plan Preferred Qualifications: Master's degree in Software Engineering or a STEM discipline Proven technical management experience preferably in either program IPT, R&D or Advanced Systems, technology, and/or functional environments Experience effectively leading diverse technical teams across multiple locations. Primary Level Salary Range: $149,400.00 - $224,000.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel make the transition to civilian careers. Approximately 1/4th of Northrop Grumman's 90,000 employees self-identifies as veterans, and more than 1,600 are reservists. The Northrop Grumman Military Internship Program (NG-MIP) is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29 . NG-MIP is an opportunity for transitioning service members to gain valuable civilian work experience through an individual internship during their last 6 months of service, for up to 180 days. The Northrop Grumman Military Internship Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for this internship position are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - Military Internship Program (DoD SKillbridge) utilizing the DoDI guidance for Skillbridge. During this program the service member will be on-site at his or her host company performing an individual internship in an entry to mid-level career type role. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide transitioning service members fellowship-style job skills training during the last portion(s) of their military commitment. This program is specifically designed to offer internships that result in the potential to transition to a full-time opportunity as the conclusion of the training. Interns will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the Intern program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides a comprehensive internship experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer transitioning service member a rewarding opportunity to join the Northrop Grumman team. DoD SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship. Do you want to work at an international company with endless opportunities for growth and advancement? Are you eager to join a trust-based, globally-connected team, where your contributions will define what's possible? We are looking for team members who want to solve interesting, complex problems, which protect our nation. Your talents and passion are most important to us. If you don't know a language, program, or platform, we will teach you! Become a part of our enthusiastic team where we have fun working together and take pride in our contributions to the nation's safety. In this role, the focus will be on development, integration, deployment, and sustainment of satellite ground software. These positions are located onsite on our Dulles, VA campus, and requires a Top Secret clearance at the time of application. This opportunity supports our Space Systems East Engineering Software Controls Engineering (SCE) group. What you'll get to do: Full stack development at the OS, platform, and mission unique software layer Developing client and server applications and services using service or object-oriented architectures, message bus-based data exchange that include first-of-a-kind capabilities Applications will span languages and toolsets including Python, C++, Postgres, Ansible, cloud infrastructure provisioning, PKI, and static code analysis execution and finding remediation Developer will be expected to be a self-starter capable of making decisions with overall project budget and schedule in mind Support Operations ground software and associated configurations. This will involve troubleshooting both software errors and hardware affecting the operation of ground software Support Acceptance Test events, including running tests Test Automation Configuration of ground segment software Resolution and remediation of software defects Software Enhancements as directed by customer change requests or mission needs Ground software support during launch and launch rehearsal events Support the installation of new ground segment software in operational, development and test environments What does success look like? As a successful employee, you will: Be an active and integral member of your team Channel your enthusiasm to innovate Be part of a supportive team that develops and deploys technologies that matter to our national security Work with agility, flexibility, and collaboration to explore creative ideas Basic Qualifications: Software Development Engineer Bachelor's degree (ideally Computer Science or Engineering) and 2 years of experience; OR a master's degree and 0 years: OR a PhD and 4 years. Experience can be considered in lieu of degree (additional 4 years) Demonstrated software development experience Python application development, C++, Bash Scripting experience U.S. Citizenship Must have an active Top-Secret clearance at the time of application with the ability to obtain and maintain a TS/SCI Principal Software Engineer: Bachelor's degree (ideally Computer Science or Engineering) and 5 years of experience; OR a master's degree and 3 years: OR a PhD and 1 year Experience can be considered in lieu of degree (additional 4 years) Demonstrated software development experience Python application development, C++, Bash Scripting experience U.S. Citizenship Must have an active Top-Secret clearance at the time of application with ability to obtain and maintain a TS/SCI Preferred Qualification: Strong preference given to Top Secret with SCI Primary Level Salary Range: $91,800.00 - $114,700.00 Secondary Level Salary Range: $110,300.00 - $165,500.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Top Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. As one of the largest global security companies in the world, Northrop Grumman is proud to help our nation's military personnel make the transition to civilian careers. Approximately 1/4th of Northrop Grumman's 90,000 employees self-identifies as veterans, and more than 1,600 are reservists. The Northrop Grumman Military Internship Program (NG-MIP) is an approved SkillBridge Program under Dept. of Defense Instruction 1322.29 . NG-MIP is an opportunity for transitioning service members to gain valuable civilian work experience through an individual internship during their last 6 months of service, for up to 180 days. The Northrop Grumman Military Internship Program is open to all ranks and experience levels. SkillBridge participants are not eligible for compensation from Northrop Grumman, as they continue to receive military compensation and benefits as active-duty service members. Responsibilities for this internship position are: Northrop Grumman Corporation (NGC) has developed the Northrop Grumman - Military Internship Program (DoD SKillbridge) utilizing the DoDI guidance for Skillbridge. During this program the service member will be on-site at his or her host company performing an individual internship in an entry to mid-level career type role. The service member will be on the job training supporting a work schedule equivalent to 40hrs per week. Outlined below are the Goals, Objectives, and Outcomes for the program. Goals - Provide transitioning service members fellowship-style job skills training during the last portion(s) of their military commitment. This program is specifically designed to offer internships that result in the potential to transition to a full-time opportunity as the conclusion of the training. Interns will serve as a pipeline for high-speed, motivated military candidates into NGC. Objectives - Service Members who complete the Intern program will be highly trained, capable, future employees that align to the specific needs of the organization and are prepared to meet the NG mission "Defining Possible" on Day 1. This program provides a comprehensive internship experience including professional development, networking with leadership, and training specifically focused on NG leadership principles, company history, customer/stakeholder engagement, product and service overview, and core job responsibilities. Outcome - Offer transitioning service member a rewarding opportunity to join the Northrop Grumman team. DoD SkillBridge Eligibility: Has served at least 180 days on active duty Is within 12 months of separation or retirement Will receive an honorable discharge Has taken any service TAPS/TGPS Has attended or participated in an ethics brief within the last 12 months Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship. Do you want to work at an international company with endless opportunities for growth and advancement? Are you eager to join a trust-based, globally-connected team, where your contributions will define what's possible? We are looking for team members who want to solve interesting, complex problems, which protect our nation. Your talents and passion are most important to us. If you don't know a language, program, or platform, we will teach you! Become a part of our enthusiastic team where we have fun working together and take pride in our contributions to the nation's safety. In this role, the focus will be on development, integration, deployment, and sustainment of satellite ground software. These positions are located onsite on our Dulles, VA campus, and requires a Top Secret clearance at the time of application. This opportunity supports our Space Systems East Engineering Software Controls Engineering (SCE) group. What you'll get to do: Full stack development at the OS, platform, and mission unique software layer Developing client and server applications and services using service or object-oriented architectures, message bus-based data exchange that include first-of-a-kind capabilities Applications will span languages and toolsets including Python, C++, Postgres, Ansible, cloud infrastructure provisioning, PKI, and static code analysis execution and finding remediation Developer will be expected to be a self-starter capable of making decisions with overall project budget and schedule in mind Support Operations ground software and associated configurations. This will involve troubleshooting both software errors and hardware affecting the operation of ground software Support Acceptance Test events, including running tests Test Automation Configuration of ground segment software Resolution and remediation of software defects Software Enhancements as directed by customer change requests or mission needs Ground software support during launch and launch rehearsal events Support the installation of new ground segment software in operational, development and test environments What does success look like? As a successful employee, you will: Be an active and integral member of your team Channel your enthusiasm to innovate Be part of a supportive team that develops and deploys technologies that matter to our national security Work with agility, flexibility, and collaboration to explore creative ideas Basic Qualifications: Software Development Engineer Bachelor's degree (ideally Computer Science or Engineering) and 2 years of experience; OR a master's degree and 0 years: OR a PhD and 4 years. Experience can be considered in lieu of degree (additional 4 years) Demonstrated software development experience Python application development, C++, Bash Scripting experience U.S. Citizenship Must have an active Top-Secret clearance at the time of application with the ability to obtain and maintain a TS/SCI Principal Software Engineer: Bachelor's degree (ideally Computer Science or Engineering) and 5 years of experience; OR a master's degree and 3 years: OR a PhD and 1 year Experience can be considered in lieu of degree (additional 4 years) Demonstrated software development experience Python application development, C++, Bash Scripting experience U.S. Citizenship Must have an active Top-Secret clearance at the time of application with ability to obtain and maintain a TS/SCI Preferred Qualification: Strong preference given to Top Secret with SCI Primary Level Salary Range: $91,800.00 - $114,700.00 Secondary Level Salary Range: $110,300.00 - $165,500.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Date Posted: 2026-03-19 Country: United States of America Location: US-AZ-TUCSON- E Hermans Rd BLDG 801 (External Site) 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 Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. This position is 100% on site in Tucson, AZ and is 4th shift: 7am to 7pm Friday, Saturday, and Sunday Job Description: The Test Solutions Center (TSC) team within the Hardware Discipline Center is a multi-discipline organization that provides test solutions to support production lines for our entire missile portfolio. The software team within TSC is responsible for developing advanced windows application solutions for all Raytheon products. We are hands-on, designing with the latest technology and tools, and integrating state-of-the-art software solutions with the most advanced engineering systems in the world. TSC products are in engineering labs, in the field, and in production environments utilized for weapon system products. TSC has job opportunities across all phases of the engineering lifecycle, including demonstrations, early engineering tests, design verification tests, production, and post-production sustainment. The Senior Software Engineer with Test Equipment position is focused on the design, development, integration, and maintenance of software as a part of on-site factory support of systems to support weapon system product development. The selected candidate will develop applications, libraries, and instrument drivers using the software style, development language, and integrated development environment specified by the organization. The selected candidate will contribute to multidiscipline engineering teams. Typical work involves the development of both engineering and production equipment, environments, and systems. As such, the candidate will contribute to the completion of all stages of product development for RMD weapon system products. They will be expected to work, either as a part of a team or independently, to design, develop, and implement system level applications in support of producing and maintaining weapon system products. What You Will Do: Design, develop and integrate object-oriented software applications using C#, C++ in Microsoft Visual Studio in a Windows Operating System (OS) Prioritize and handle multiple software engineering tasks concurrently Troubleshoot software and test equipment instrumentation Work in a multidiscipline engineering team environment Develop and derive requirements for software products Qualifications You Must Have: Typically requires a Bachelor's Degree in Science, Technology, Engineering, or Mathematics (STEM) and minimum 5 years prior relevant experience, or an Advanced degree in a related field and minimum 3 years experience. Experience in developing and integrating software applications using programming languages including but not limited to C++, C#, Java, Python or Visual Basic. Experience in utilizing integrated development environments and debugging tools to troubleshoot software implementation and ensure integrity of the software products. Experience with Windows Operating System and Microsoft Visual Studio is required. 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. Qualifications We Prefer: Familiar with computer architecture and computer hardware optimization techniques Working knowledge of the development of software drivers for the operation of computer hardware interfaces Working knowledge in common computer hardware interface and data protocols such as TCP/IP, UDP, or RS-422 Familiarity with laboratory test instrumentation, electronics, and software (Ex. oscilloscopes, power supplies, digital multimeters) Experience with Unified Modeling Language (UML) to visualize software architecture and design Experience of software development lifecycles, such as Waterfall and Agile Experience with Software Configuration Management principles Experience with Microsoft Azure DevOps Server or GitHub Good written and interpersonal communication skills 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. Learn More & Apply Now: Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires onsite work in Tucson, AZ: ,-az-location As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.

RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: Yes CLEARANCE TYPE: Secret TRAVEL: No Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman Space Systems-Missile Defense Integration offers an excellent opportunity for a Sr Principal Engineer Software - BM/SRM (26-080) to join our talented and diverse team. Based in Huntsville, AL, this role is essential to supporting the U.S. President, the Secretary of Defense, and combatant commanders at the strategic, regional, and operational levels. This position does not provide relocation assistance and requires on-site work with no remote options. Position Overview: The Command and Control, Battle Management, and Communications (C2BMC) program is a key component of the Missile Defense System. It serves as a vital operational platform that allows the U.S. president, the secretary of defense, and combatant commanders at strategic, regional, and operational levels to plan ballistic missile defenses, monitor the battle, and control networked sensors and weapon systems in real time to meet global and regional mission goals. C2BMC supports layered missile defenses that deliver an optimized response to threats across all ranges and flight stages. It functions as a force multiplier by connecting, integrating, and coordinating autonomous sensor and weapon systems and operations worldwide and regionally to improve performance. C2BMC is essential for all ground and flight tests that evaluate and demonstrate current and future missile defense capabilities. This position is for a Software Engineer on the C2BMC program. The candidate will be responsible for developing Java software for Battle Management Sensor Resource Management (BM/SRM), part of the Regional Applications team in Huntsville, AL, and working with minimal supervision, providing specialized expertise across multiple systems and software disciplines, with a broad understanding of related fields, application implications, and customer needs. Essential Functions: Responsible for conducting in-depth analysis and providing technical support for systems software products, including complex problem resolution, design, development, testing, operational integration, and user assistance Maintains currency, debugs, and configures related software products Creates or updates operating system applications based on specifications Supports design, coding, benchmarking, debugging, and documentation of programs Collaborate with other system support groups to resolve issues, establish standards, and enhance the overall efficiency of the operating system Designs, codes, tests, and implements tools for automating operations Works on most phases of software systems programming applications and may require minor instruction and guidance in other phases A leadership role may be required in small, software-focused teams 5+ years of related experience and possibly a post-secondary degree or training in a relevant discipline Basic Qualifications: Please list your current security clearance and IAT or relevant certifications on your resume, if applicable. A Bachelor's Degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field from an accredited university, along with 8 years of experience; or a Master's degree in a related field with 6 years of relevant work experience; or 12 years of relevant work experience may be considered as an alternative to a degree Applicants must have a current, active in-scope DoD-issued Secret security clearance at the time of application, which is required to start Candidate must have excellent oral and written communication skills and the ability to work effectively in a fast-paced, team environment Software engineering and software development with strong Java/J2EE experience Experience and knowledge of software practices such as coding standards, automated testing, automated build pipelines, and configuration management Experience developing enterprise applications on Linux (Windows experience is also desired) Extensive experience with Java Foundation Classes and toolkits Strong problem-solving skills, including the ability to review performance and operational issues, identify the root cause, and recommend, design, and implement a solution Use of common software development and management tools such as Maven, Git/GitHub, Nexus, and Eclipse Experience with Agile development methodologies Understanding of standard systems engineering design artifacts such as Use Cases and SysML diagrams Preferred Qualifications: Development of command and control system applications Experience in Software Integration and Formal Testing Knowledge and experience in implementing Cyber Security/RMF requirements Ability to communicate advanced concepts to non-software engineers, including senior program and military leaders Experience leading small teams (Agile leadership preferred), mentoring and guiding junior engineers. Experience in performance modeling Experience with microservices Experience in DevSecOps and/or build management Designing and building graphical user interfaces. Flexibility and willingness to handle unexpected tasks Knowledge of server-side/database development and computer system administration; expertise in net-centric, horizontal integration programs is a plus What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment that promotes your growth, supporting both employees and the company's success. The benefits at Northrop Grumman are flexible and customizable, allowing you to choose options that best fit your needs and your family's. Your benefits will include the following: Health Plan Savings Plan Paid Time Off Education Assistance Training and Development Flexible Work Arrangements Primary Level Salary Range: $135,800.00 - $203,600.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

AI Engineer 1) Organization Overview (Concise & Neutral) A fast growing oncology focused organization is reinventing how clinical trials operate by integrating them tightly with real world clinical practice. Cross disciplinary teams across healthcare, engineering, AI, and regulatory domains work in a Human in the Loop (HITL) model to deliver regulatory grade outcomes that expand trial access and accelerate cancer drug development. What's Different Clinical trials are embedded within clinical practice-not run in parallel. Hybrid model blending expert abstraction, AI/NLP/LLMs, and EMR integrations. Strong commitment to rigorous testing, validation, privacy, and ethical AI. Mission driven culture with high collaboration and urgency. Why Join Now AI is essential to scaling the business-impact is immediate and visible. Opportunity to build an end to end applied AI stack powering clinical teams. Work across LLMs, CV, and multimodal use cases with strong platform engineering partners. 2) Role Overview - AI Engineer Purpose Design and deliver applied AI systems (LLMs/CV/multimodal) that automate clinical variable extraction and clinical note generation. Work includes repeatable validation, robust documentation, and HITL feedback loops. Strong emphasis on data engineering and backend rigor to ensure model usability and efficiency. Focus Areas LLM development and LLM Ops for text extraction and structuring; some CV/multimodal. Rapid prototyping with high software engineering hygiene. Statistical validation plans, experiment design, and metrics ownership. HITL workflow development to reduce manual QA and improve throughput. Collaboration with Platform Engineering for production alignment. Comprehensive documentation: datasets, experiments, model cards, QA audits. HIPAA aligned safeguards and compliant AI practices. Core Responsibilities Build AI models and pipelines across EMR/EHR, imaging, and clinical documents. Translate ambiguous clinical requirements into measurable ML objectives. Define metrics, design experiments, and estimate/model error. Lead interim QA audit processes and evolve toward AI assisted QA. Partner with data/platform engineers on scalability, data flow, and observability. Champion code quality, experiment tracking, reproducibility, and knowledge capture. Expected Impact (6-12 Months) Deliver validated AI components for abstraction and note generation. Meaningfully reduce manual QA workload through HITL optimization. Standardize testing and documentation frameworks. Establish efficient PySpark/SQL/Postgres data manipulation patterns that accelerate iteration. 3) Product & AI Context In Flight Work LLM powered abstraction and clinical note generation with HITL. Auditing and validation pipelines. Mandate Drive productivity gains for internal labeling/abstraction teams. Build the full applied AI stack: model development, context engineering, QA automation, interfaces. Productionization Deployment owned by Platform Engineering, but AI Engineers write scalable, integration ready code. Data Gravity Data engineering is a major part of the role: PySpark, SQL/Postgres, query optimization, cloud data tooling. 4) Ideal Candidate Profile Background MSc/PhD in CS, EE, Applied Math, Stats, Physics, or equivalent depth via experience. 2-5+ years in AI/ML engineering or applied data science. Healthcare or clinical workflows experience strongly preferred; oncology a plus. Technical Must Haves Expert level Python + strong software engineering practices. Deep learning experience with PyTorch or TensorFlow (LLMs and/or CV). Data engineering: PySpark, SQL, Postgres, data modeling, query tuning. Cloud data platforms (Databricks, S3/Snowflake/Azure/GCP). Experiment design, statistical validation, and error analysis. HITL lifecycle design and feedback integration. Nice to Have Additional languages: R, Java, C++. MLOps fundamentals (versioning, lineage, CI/CD). Prior oncology or clinical trials exposure.