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This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Software Quality Assurance Manager Description - T his role is responsible for overseeing and managing the software quality assurance process within the organization or a video collaboration project. This is a hands on role that involves setting quality standards, defining testing strategy, leading QA team, executing the test plan, helping with test automation and ensuring that software products meet the highest levels of quality and reliability. The role works closely with cross-functional teams, including developers, product managers, and business stakeholders, to drive continuous improvement in the software development and testing processes. Onsite in Ft Collins 5-days a week Responsibilities • Provides direct and ongoing leadership for a team of individual contributors designing and implementing quality assurance and test processes and coordinating projects for end-user video conferencing application, systems software, running on hardware, local, networked, and Internet-based platforms. • Defines QA processes, methodologies, and best practices to ensure consistent and effective testing across projects. • Develops and implements a comprehensive QA strategy that aligns with the organization's goals and objectives. • Evaluates and improves QA processes to enhance efficiency, effectiveness, and automation of testing activities. • Perform Functional and Solution Testing of Video/Collaboration Software • Additionally, codes and programs test scripts, automation, and integration activities based on specific test requirements. • Conducts functional, integration, regression, and performance testing to validate software functionality. • Automates testing processes using appropriate tools and frameworks to improve efficiency and repeatability. • Monitors and enforces adherence to established coding standards, design guidelines, and best practices. • Monitors software performance and conducts load and stress testing to identify bottlenecks and performance issues. • Prepares and maintains QA-related documentation, including test plans, test matrices, and testing reports. • Communicates QA progress, results, and challenges to leadership, project teams, and other relevant stakeholders. • Collaborates with external vendors and partners to ensure the quality of outsourced or third-party software components. • Proactively identifies opportunities for process improvement and cost reduction. • Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development. • Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development. • Work from Office in Fort Collins, Colorado Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Software Engineering, Information Systems, Information Technology, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of job-related experience and 3+ years of management experience, preferably in software quality assurance, test harnesses and QA focused tools, or a related field. Preferred Certifications • Certified Software Quality Engineer • Certified Associate in Software Quality (CASQ) • Certified Software Test Engineer (CSTE) Knowledge & Skills • Agile Methodology • Application Programming Interface (API) • Automation • CI/CD • Computer Science • Copilot AI or equivalent • Debugging • Jenkins • JIRA • Python (Programming Language) • Scripting • FAST/Scrum (Software Development) • Security • SIP Protocol • Software Development • Software Engineering • Software Quality (SQA/SQC) • Software Testing • Test Automation • Test Planning • Test Rail test case management • Video Software The pay range for this role is $116,150 to $182,400 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job Posting Expiration Date: 11/10/26 Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI AI Runtime / ML Model Systems Engineer Description - This role is responsible for developing runtime abstraction layers and intelligent model placement systems across heterogeneous compute resources In this role, you will ensure the technical design, development, installation, and maintenance of state-of-the-art software applications and services for the company. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. Houston in-office requirement: 4 days Responsibilities • Build runtime abstraction frameworks. • Implement model placement policies. • Develop xPU routing logic. • Optimize inference execution. • Leads the building of various software development projects and platforms while aligning them with business and security strategies and requirements. • Builds standards, designs, and automates the deployment of software. • Designs and develops solutions that protect and manage software products and data. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong AI runtime expertise. • Optimize inference execution. Required Qualifications • ONNX, TensorRT, OpenVINO. • NPU/GPU scheduling. • Edge AI deployment. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API ) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Agentic AI Systems Evaluation Engineer Description - This role is responsible for defining measurement methodology and benchmarks to quantify customer outcomes, platform performance, and AI workload effectiveness ensuring the technical design, development, installation, and maintenance of state-of-the-art software applications and services for our products. The role plays a crucial role in building technical solutions to help other developers/engineers deliver faster with modern software and application development tools. The role builds & maintains relationships with stakeholders across different departments and provide guidance & coaching to reportees in executing their tasks/responsibilities. Houston in-office requirement: 4-days Responsibilities • Define success metrics. • Create benchmarking frameworks. • Analyze customer outcomes. • Produce executive performance reports. • Contributes to technology strategy and engineering roadmaps around software engineering; executes strategic software engineering proof of concepts. • Interacts with user management regarding project status and user requirements to promote an environment with improved productivity and satisfaction. • Supervises the work of external engineering vendors, analyzing the testing performed by vendors, and provides feedback and expertise to technicians. • Identifies, recommends and implements changes to enhance effectiveness of engineering, implementation and service strategies Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Statistics, Software Engineering, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 7-10 years of work experience, preferably in software designing & development, software architecture, programming languages, or a related field. • Strong analytical skills • Experience with benchmarking methodologies Preferred Qualifications AI systems evaluation. Telemetry analytics Performance benchmarking. Linux and Windows validation experience Preferred Certifications • Programming Language/s Certification (Java, C++, Python, JavaScript, or similar) Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ • Computer Science • DevOps • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Microservices • Microsoft Azure • Python (Programming Language) • React.js • Scalability • Software Development • Software Engineering • SQL (Programming Language) The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Senior Machine Learning Platform Engineer - Model Hosting & MLOps Description - Role summary We are hiring a Senior Machine Learning Platform Engineer to build the infrastructure and engineering workflows that take custom models from development into reliable production use. This is a hands-on role for someone who has hosted LLMs on GPU infrastructure, developed the cloud platform around model serving, and built MLOps pipelines that make releases repeatable and observable. You will work with model developers, application engineers, security, and cloud platform teams to turn a model artifact into a secure, scalable inference service. The work spans serving architecture, infrastructure as code, deployment automation, model lifecycle management, and production operations across AWS and Azure, with potential integration into on-premises environments. You will also help shape agent workflows that use hosted models, so serving choices support the needs of multi-step applications. Success means teams can deploy, update, monitor, and troubleshoot models through clear, reusable platform patterns. What you will do Design and build hosting for custom ML and AI models across AWS and Azure, with particular focus on GPU-backed LLM inference and real-time endpoints; support batch inference where appropriate. Package models and their dependencies into reproducible serving workloads; choose and implement suitable managed services, containers, or Kubernetes-based patterns based on throughput, latency, security, reliability, and cost. Provision and configure Kubernetes clusters or other suitable hosting infrastructure, including compute, storage, API access, identity and access controls, secrets, networking integration, observability, and environment configuration. Help design secure connections and deployment patterns between cloud and on-premises environments as hosting needs evolve. Develop infrastructure as code and deployment automation so model-hosting environments can be provisioned, reviewed, promoted, and maintained consistently. Build MLOps workflows for model registration, versioning, validation, release, rollback, and retirement. Connect training or model preparation to deployment through automated pipelines and appropriate quality gates. Partner with application teams to design and prototype agent workflows, including model and tool orchestration, state handling, failure recovery, and evaluation. Translate agent workload patterns into hosting decisions about model selection, context length, concurrency, latency, cost, tool access, and end-to-end tracing. Establish production monitoring for service health, latency, throughput, errors, GPU and other resource use, and model behavior. Share responsibility for diagnosing incidents and improving capacity, reliability, and cost. Create reusable deployment templates, reference architectures, documentation, and onboarding paths that help other teams ship models safely. Partner with model and application teams on practical tradeoffs such as online versus batch inference, managed versus self-hosted serving, scaling, evaluation, data handling, and operational ownership. Required experience Hands-on experience hosting LLM inference on GPU infrastructure in a production environment. You can explain what you personally built, how models reached production, and how you managed throughput, latency, utilization, reliability, and cost. Experience building the surrounding model-serving platform for custom models, such as inference runtimes, deployment patterns, endpoint access, scaling, and operational tooling. Strong software engineering skills, especially Python, with experience building services, automation, and maintainable production code. Experience developing infrastructure for ML workloads across AWS and Azure, with deep hands-on delivery in at least one and practical ability to work in the other. You have used infrastructure as code such as Terraform or an equivalent tool. Experience provisioning, configuring, and maintaining Kubernetes or another production hosting platform for containerized inference workloads. Experience building or operating ML deployment pipelines with versioned artifacts, automated validation, CI/CD, environment promotion, and rollback. Familiarity with LLM agent patterns, including model invocation, tool calls, and multi-step workflows, and how they affect serving capacity, reliability, and access controls. Working knowledge of production concerns for inference services: scaling, latency, availability, logging and metrics, shared incident response, access control, and cost. Ability to work across model development, application, platform, and security teams; turn ambiguous requirements into a working design; and document the resulting operational approach. Helpful experience Advanced GPU inference optimization, including capacity planning, batching, autoscaling, memory use, model loading, and performance tuning. Serving generative or other compute-intensive custom models beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model hosting, including connectivity, security boundaries, hardware constraints, and operational handoff. Model registries, experiment tracking, data or feature pipelines, scheduled retraining, model evaluation, and drift or quality monitoring. Secure enterprise deployment patterns such as private networking, IAM/RBAC, secrets management, auditability, and handling sensitive data. Building shared ML platform capabilities or self-service workflows used by multiple engineering teams. Hands-on development of agent workflows, including tool integration, evaluation, tracing, or guardrails. Who will thrive here You are an engineer who has taken responsibility for what happens after a model is trained: how it is packaged, deployed, secured, scaled, observed, updated, and supported. You are comfortable writing code and infrastructure, investigating production failures, and making clear tradeoffs with partner teams. Pay & Benefits The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - No Relocation - No Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "

Date Posted: 2026-10-19 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 Job Description 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 The mission of the software team in Tewksbury, 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, Advanced Sensor Systems, 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. 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 Responsible for some or all of a Software product, contributing as a software team member and possibly leading a small software team. Qualifications You Must Have Bachlor's degree in Science, Technology, Engineering, or Mathematics (STEM) or similar technical degree Experience designing and programming with C++, Java or other object-oriented language Knowledge of data structures, algorithms, memory management, and multithreaded applications Experience utilizing Generative AI tools or machine learning-assisted technologies to accelerate technical workflows, automate repetitive tasks, improve code quality, or optimize team delivery Experience with open systems architecture (OSA) and modular design principles, including designing or developing loosely coupled software components, standardized APIs, or modular system interfaces Experience identifying and resolving operational, technical, or documentation deficiencies within an engineering environment (Technical Problem Solving) Qualifications We Prefer Experience with CI/CD (Continuous Integration/Continuous Delivery) tools (e.g., Git, Atlassian Suite, Azure, Jenkins) Experience with configuration management tools (e.g., Azure, Jira, Git, Bitbucket, Artifactory) Experience with data analysis tools (e.g., MATLAB, Python) Experience using Agile frameworks such as Scrum, Scaled Agile (SAFe), or Test-Driven Development (TDD) or DevOps principles Experience developing, building, or debugging software across diverse operating system environments, such as enterprise Linux distributions (e.g., Red Hat Enterprise Linux/RHEL), commercial Real-Time Operating Systems (e.g., VxWorks, Green Hills INTEGRITY), or Windows development environments Demonstrated track record of technical adaptability, including quickly learning, evaluating, and applying new programming languages, frameworks, or engineering tools to meet evolving project requirements Experience managing competing priorities and meeting firm project milestones within dynamic, deadline-driven development or operational environment 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 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

This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details

Date Posted: 2026-09-30 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. What You Will Do The mission of the software team in Tewksbury, 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, Advanced Sensor Systems, 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. 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 Responsible for some or all of a Software product, contributing as a software team member and possibly leading a small software team. Qualifications You Must Have Master's degree in Science, Technology, Engineering, or Mathematics (STEM) or similar technical degree Experience designing and programming with C++, Java or other object-oriented language Knowledge of data structures, algorithms, memory management, and multithreaded applications Experience utilizing Generative AI tools or machine learning-assisted technologies to accelerate technical workflows, automate repetitive tasks, improve code quality, or optimize team delivery Experience with open systems architecture (OSA) and modular design principles, including designing or developing loosely coupled software components, standardized APIs, or modular system interfaces Experience identifying and resolving operational, technical, or documentation deficiencies within an engineering environment (Technical Problem Solving) Qualifications We Prefer Experience with CI/CD (Continuous Integration/Continuous Delivery) tools (e.g., Git, Atlassian Suite, Azure, Jenkins) Experience with configuration management tools (e.g., Azure, Jira, Git, Bitbucket, Artifactory) Experience with data analysis tools (e.g., MATLAB, Python) Experience using Agile frameworks such as Scrum, Scaled Agile (SAFe), or Test-Driven Development (TDD) or DevOps principles Experience developing, building, or debugging software across diverse operating system environments, such as enterprise Linux distributions (e.g., Red Hat Enterprise Linux/RHEL), commercial Real-Time Operating Systems (e.g., VxWorks, Green Hills INTEGRITY), or Windows development environments Demonstrated track record of technical adaptability, including quickly learning, evaluating, and applying new programming languages, frameworks, or engineering tools to meet evolving project requirements Experience managing competing priorities and meeting firm project milestones within dynamic, deadline-driven development or operational environment 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: 2026-10-27 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 The anticipated start date for this position is January 2027 or later 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 The Hardware in the Loop (HWIL) Department in Tucson, AZ is a multi-discipline organization responsible for designing, building and integrating state of the art testing environments (flight simulators for missiles), as the last step before flight test. On our team, you will work with weapon system designers to understand requirements, design solutions, integrate, and deploy the systems to help support tactical software development, testing, and delivery for missiles to the warfighter. This position is within the Effectors Center of the HWIL organization, and is an onsite role located in Tucson, AZ. As an Software Engineer at Raytheon you will: Collaborate in a multi-disciplinary team to develop software to control Hardware-In-the-Loop (HWIL) facilities (flight simulators for missiles). Determines end user needs by analyzing system capabilities to resolve problems on program intent, output requirements and input data acquisition. Ensures hardware and software standards are met. Designs and implements build procedures that are used to support hardware and software product development and use. Software design, coding and integration in a real-time environment. May train software developers in the use of configuration management tools and the implementation of software quality standards. Includes control modeling (model based design) Qualifications You Must Have: Masters degree in Computer Science, Software Engineering or related Science, Technology, Engineering or Mathematics (STEM) major obtained by start date Completed academic or internship projects involving real-time operating systems and object oriented programming Experience collaborating with multidisciplinary teams to design, integrate, or troubleshoot complex software test environments Experience programming in languages such as Java, C, or C++, and scripting languages such as Python, Perl, or MATLAB for data analysis or automation Experience may be obtained through job experience, research, coursework, or projects Qualifications We Prefer: Experience with RF theory and application in systems. Experience with electronics design and/or conducting data analysis using tools such as Matlab. Experience troubleshooting systems using test equipment such as oscilloscopes, logic analyzers, network analyzers, and/or spectrum analyzers. Knowledge of networking and IP addressed based equipment. Experience with systems requirements, systems integration, systems test, systems software, and/or systems hardware. 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. 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 the ability to obtain a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: 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 75,800 USD - 144,200 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

This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Firmware Engineer BIOS/UEFI Description - The Firmware Engineer is responsible for ensuring that embedded firmware meets the highest standards of quality, robustness, and long term reliability. This role works closely with firmware developers, hardware engineers, architecture teams, QA, and cross functional partners to define quality metrics, validate system behavior, improve defect detection, and build processes that prevent regressions. Responsibilities Develop, execute, and maintain comprehensive firmware test plans, including functional, regression, stress, corner-case, and long-duration reliability tests. Evaluates the firmware architecture, design and development plus testing methodologies to create strategy and implement methods to bring increased quality and reliability to the firmware. Reviews firmware code and test plans including functional, regression, stress, corner-case and long-duration reliability tests. Perform root-cause analysis for firmware defects, drive containment, corrective actions, and verification of fixes. Create and manage quality dashboards, KPI, failure rates, and reliability metrics. Evaluate failure modes exposed during design, development, manufacturing and field use; propose design or process improvements to prevent recurrence. Works with product architects, firmware teams, product managers and provides critical guidance, system-level debugging and troubleshooting to various teams, as a Subject Matter Expert. Reviews and evaluates designs and project activities for compliance with systems design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk. Create and manage quality dashboards , KPIs, failure rates, and reliability metrics. Validate firmware integration with hardware, BIOS/UEFI, EC, microcontrollers, sensors, and platform level components. Evaluate failure modes exposed during development, manufacturing, and field use; propose design or process improvements to prevent recurrence. Manages and expands relationships with internal and outsourced development partners on firmware design and development. Drives innovation and integration of new technologies into projects and activities in the firmware design organization. Mentors less-experienced software firmware engineers and help guide them to successful deliverables. Firmware Architecture & Process Improvements Participate in firmware architecture reviews , ensuring quality and reliability considerations are incorporated into design (aligned with internal FW Architecture Review practices). Advocate and enforce coding standards, testability guidelines, and quality processes across firmware teams. Identify opportunities for simplification, refactoring, or architectural improvements to enhance stability and resilience. Collaborate with FW architects on quality initiatives (e.g., error code frameworks, BCR processes, customer centric diagnostics). Cross Functional Collaboration Work closely with hardware engineers, firmware developers, QA, sustaining teams, ODM partners, and integration teams. Provide quality feedback in design reviews, program meetings, and cross partner syncs. Support bring up, validation, platform qualification, and key program milestones. Mentor engineers on debugging techniques, quality practices, and reliability analysis. Risk Management & Compliance Ensure firmware processes comply with internal governance, standards, and security guidelines. Identify risks early and drive mitigation plans. Support audits, internal reviews, and quality assessments. Education & Experience Recommended Bachelor's or Master's degree in Computer Engineering , Electrical Engineering , Computer Science , or equivalent. 10+ years of experience in embedded firmware , quality engineering , hardware/firmware debugging , or reliability engineering . Background in embedded systems, microcontrollers, low level debugging, and system architecture. Technical Skills Strong understanding of embedded firmware development (C/C++), driver development, bootloaders, EC/BIOS/UEFI fundamentals. Proficiency in test automation, scripting (Python, Perl, PowerShell, etc.), and testing tools. Ability to analyze failures across hardware, firmware, and system boundaries. Experience with JTAG/SWD, oscilloscopes, logic analyzers, and other debug tools. Familiarity with continuous integration, version control, and quality workflows. The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave ( US benefits overview ) The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "