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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. Android OS SW Developer Description - Job Summary HP is seeking a Software Developer to join the team responsible for developing Android operating-system solutions for HP products. This role will contribute to the design, development, integration, and maintenance of HP value-added Android OS capabilities that differentiate HP products and address the specialized needs of enterprise and retail customers. The developer will work across the Android platform stack to deliver features that improve device manageability, platform security, deployment, servicing, and integration with retail peripherals. The role requires hands-on Android platform development experience and the ability to collaborate with hardware, firmware, security, quality, product, and external technology partners. Responsibilities Design, develop, integrate, and maintain Android OS components for HP products. Develop HP-specific Android features and system services that extend the capabilities of the Android Open Source Project. Implement device-management functionality, including enterprise configuration, provisioning, policy enforcement, telemetry, and integration with MDM and UEM solutions. Develop security features that strengthen platform integrity, protect system services and data, and support trusted software execution. Develop and enhance standardized peripheral interfaces and services that reduce device-specific application integration. Use Android debugging and analysis tools to investigate system failures, performance issues, compatibility problems, and security defects. Participate in architecture and design reviews, code reviews, test planning, and release-readiness activities. Create technical documentation covering architecture, interfaces, configuration, development, testing, and troubleshooting. Collaborate with geographically distributed engineering teams, ODMs, silicon vendors, peripheral suppliers, independent software vendors, and product teams. HP currently differentiates its Android platform through areas such as OEMConfig, provisioning and OS-management tools, HP signing, restricted root access, peripheral firmware updates, and a standardized JPOS-based peripheral framework. Education & Experience Recommended Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7-10 years of work experience, preferably in applications engineering, programming, or a related field. Preferred Certifications Programming Language/s Certification (Kotlin, Java, C++, Python, or similar) Knowledge & Skills Experience developing Android platform or system-level software. Experience with Android Enterprise, device-policy management, OEMConfig, zero-touch enrollment, MDM, or UEM platforms. Knowledge of Android platform security, including SELinux, verified boot, secure boot, and application or image signing. Experience with Android compatibility and security testing, such as CTS, VTS, GTS, STS, or related test suites. Familiarity with Android HAL development, AIDL, Binder IPC, native services, and Linux device drivers. Knowledge of retail or point-of-sale technologies, including barcode scanners, printers, cash drawers, payment devices, customer-facing displays, or JPOS/UnifiedPOS. Experience collaborating with ODMs, chipset vendors, peripheral manufacturers, and external software partners. Cross-Org Skills Effective Communication Results Orientation Learning Agility Digital Fluency Customer Centricity The successful candidate will: Deliver reliable Android OS features that solve meaningful enterprise and retail customer problems. Improve HP Android products through differentiated manageability, security, servicing, and peripheral capabilities. Produce maintainable, well-tested code suitable for long-lived commercial products. Resolve platform-level issues through disciplined, evidence-based root-cause analysis. Work effectively across software, hardware, security, quality, and product-management organizations. Help establish consistent Android platform capabilities across multiple HP product families. 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 - 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 "

Job Description 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 Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The North America Client Transactions & Data team is to streamline access to Client Information. We provide predictable data that enables our partners to respond more nimbly and rapidly to our changing business environment. By centralizing and delivery of our client data as a product, we provide transparent roadmaps while using a standardized, consistent & predictable in engineering practices. About the Role: You will be responsible for supporting advanced analytics initiatives and data integration. Interact with Business Owners, Product Owners, Business Data Analysts, and Application Developers, to design, build and manage large-scale batch and real-time data pipelines utilizing various data analytic frameworks. The position requires a strong technical hands-on-skilled engineer. A successful candidate must demonstrate strong analytical, design, programing, and debugging skills in a large-scale analytics solutions. Responsibilities of the Role: Managing application and data integration platforms using AWS Cloud Components Building robust data pipeline using modern data engineering practice in a Cloud architecture Understand the business and enable the full life cycle of development/ reporting/ integration projects: planning, design, develop, testing and rollout that confirms to Agile Standards Responsible for Data availability /enablement for business reporting and analytics within the SLA Create and manage data, applications and technology architecture documentation and design artifacts Help maintain the code and capability environment required to evolve data-driven, analytical capabilities with the end goal of understanding customer behavior and competitive dynamics Strong experience with writing complex programs, implementing architectures, and enabling automation in these environments Communicate with various business areas, partner on the formulation of technical requirements for data ingestion, verification, scheduling, etc. Requirements of the Role: 5-7 years of experience in data modeling, data warehousing, and big data architectures 5-7 years of experience of Amazon cloud (AWS)- S3, RDS, Lambda, Glue, SNS, Terraform etc. 5-7 years of experience in building data pipelines in tools using Apache Airflow, Airbyte Good understanding of ETL/ELT experience and good knowledge of SQL and query optimization techniques (ie DBT) 3-5 years of experience with Snowflake, with Cortex AI and LLM prompt engineering a nice to have Strong experience with databases such as Snowflake Postgres, Aurora, Athena Strong programming experience with Python, Linux/bash scripting, Ansible Experience using GitHub, Bit Bucket, or other code repository solution Understanding and knowledge of Automated code Deployments CI/CD BS in Computer Science, Applied Mathematics, Physics, Statistics or area of study related to data sciences and data mining or relevant experience Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

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 Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Role: As a Senior Engineer on the Investment Technology team, you will play important role in building and supporting internal technology platforms and enterprise services. You'll participate in cross-functional initiatives, work closely with other engineering team members, and ensure delivery of scalable, secure, and developer-friendly solutions that align with Invesco's enterprise vision. This role requires strong technical depth, strategic vision, and a dedication to fostering engineering excellence and scalable AI enabled software development. You will demonstrate a willingness to explore and contribute to new and exciting initiatives, while maintaining accountability for foundational engineering work that ensures platform stability, scalability, and long-term success. Responsibilities of the Role: Implement the architectural and business functional vision for internal applications, platforms, and enterprise services Design and implement processes, applications, and services for the Investment Technology domain based on business requirements Collaborate with enterprise architecture, product, infrastructure, and security teams to align platform capabilities with enterprise goals Build AWS cloud-based solutions using best practices and appropriate cloud services Apply DevSecOps practices and mature CI/CD pipelines using tools like Git, Bitbucket Pipelines, Jenkins, Maven, Gradle, SonarQube, and Artifactory Implement system integrations using established integration patterns, APIs, and data integration tools Leverage industry-leading AI capabilities to streamline development and promote an AI-first approach across the team Work within Agile teams using Atlassian tools (Jira, Confluence, Bitbucket), support automation and self-service engineering, mentor engineers, and foster a collaborative, high-performing global culture Requirements of the Role: 8+ years of professional full stack software development experience with expert understanding of the software development lifecycle (SDLC) Deep expertise in object oriented programming using Java Proven hands on experience building cloud based solutions on AWS, including services like EKS, S3, Airflow, IAM, and Lambda Experience with cloud database platforms such as Snowflake, Postgres, Athena, and SQL Server Experience with industry standard AI frameworks/tools (NLP models, vectorization/embedding, LangChain , Amazon Bedrock, OpenAI APIs) to build scalable intelligent applications (plus) Advanced UI development using JavaScript frameworks like React or Angular Strong proficiency in Agile development and CI/CD pipelines, with exposure to testing/automation tools (JUnit, Selenium, JMeter) and orchestration/scheduling services (UAC, Airflow, Autosys); experience with PowerShell, Python, and Kubectl is a plus Bachelor's degree in Computer Science , MIS, Computer Engineering, or related field (or equivalent experience) Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

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 "

This job is with Invesco, 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 Invesco As one of the world's leading independent global investment firms, Invesco is dedicated to rethinking possibilities for our clients. By delivering the combined power of our distinctive investment management capabilities, we provide a wide range of investment strategies and vehicles to our clients around the world. If you're looking for challenging work, intelligent colleagues, and exposure across a global footprint, come explore your potential at Invesco. What's in it for you? Our people are at the ver y core of our success. Invesco employees get more out of life through our comprehensive compensation and benefit offerings including: Flexible paid time off Hybrid work schedule 401(K) matching of 100% up to the first 6% with a discretionary supplemental contribution Health & wellbeing benefits Parental Leave benefits Employee stock purchase plan Job Description About the Team: The Strategy, Innovation & Planning (SIP) team serves as Invesco's central AI hub, focused on advancing innovation and delivering impactful AI solutions across the firm. Our team is focused on rapid experimentation using new AI tools and technologies to solve business problems. We are focused on using various agentic frameworks and building business-sponsored GenAI use cases that drive operational efficiency. Beyond product development, SIP actively fosters AI adoption across Invesco through initiatives such as AI/ML Meetups, hackathons, and cross-team collaborations. About the Role: As Software Engineer on the SIP team, you will help design, build, and scale next-generation AI applications that solve complex business problems. You will work in a highly collaborative, agile environment with a startup mindset-focused on rapid experimentation, continuous learning, and hands-on engineering. This role is designed for a creative technologist who views AI tools (like GitHub Copilot, Cursor, or LLM APIs) or Agentic Frameworks (Microsoft Copilot Studio, AgentCore/Strands, LangGraph etc.) as fundamental to their workflow, enabling them to contribute directly to the future of AI at Invesco. Responsibilities of the Role: Collaborating with data scientists, data engineers, and investment professionals to build innovative AI-based tools using structured and alternate data sources. Rapidly prototyping new and innovative solutions alongside experienced developers, using AI-assisted coding to accelerate the "idea-to-MVP" cycle. Developing and refining Invesco's Generative AI platform by creating system prompts, implementing agentic workflows and LLM-integrated features. Coding and delivering cloud-native microservices and micro-UI components that integrate seamlessly with AI orchestration layers. Building validations, evaluations and guardrails on selected agent frameworks for custom agents built for various business use cases Applying "AI-first" engineering principles to find creative solutions to the unique architectural challenges encountered when scaling agentic systems. Working at speed to show measurable value per sprint, maintaining high code quality through modern automation and testing. Requirements of the Role: Creative Problem Solver: 0-2 years of experience with a portfolio of projects (professional or personal) that demonstrate an ability to build functional, creative web applications. Modern Tech Stack: Foundational proficiency in Python (for AI/Backend) and TypeScript/React (for Frontend). AI Native Workflow: High level of comfort using AI coding assistants and LLMs to debug, document, and write boilerplate code efficiently. Architectural Curiosity: Exposure to (or a strong desire to learn) LangGraph, LangChain, and agentic design patterns. Cloud & DevOps Foundations: Familiarity with containerized environments (Docker), Git version control, and basic cloud concepts (AWS or Azure). Agile Mindset: A proactive learner who thrives in a fast-paced, value-driven environment and is comfortable experimenting with emerging technologies. Full Time / Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco's Workplace Policy, employees are expected to comply with the firm's most current workplace model, which as of October 1, 2025, includes spending at least four full days each week working in an Invesco office. This reflects our belief that spending time together in the office helps us build stronger relationships, collaborate more easily, and support each other's growth and development. The above information on this description has been designed to indicate the general nature and level of work performed by employees within this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The job holder may be required to perform other duties as deemed appropriate by their manager from time to time. Invesco's culture of inclusivity and its commitment to diversity in the workplace are demonstrated through our people practices. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender, gender identity, sexual orientation, marital status, national origin, citizenship status, disability, age, or veteran status. Our equal opportunity employment efforts comply with all applicable U.S. state and federal laws governing non-discrimination in employment.

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship. This position is for full-time, onsite employment at the Family Dollar Chesapeake, VA Store Support Center. We handle relocation for anyone interested outside of the Hampton Roads, VA area General Summary: The AI Developer Engineer is responsible for developing new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas for deployment. This role is critical part of Family Dollar's capability to build our own AI applications inhouse using top of line agent development kits, APIs, software libraries and interface with our vendors and partners to trial their products for fit within Family Dollar's IT estate, including our cloud environments, digital applications, and our operational systems. Principal Duties & Responsibilities: Design, build, and deploy production AI applications on Google Cloud Platform, applying machine learning and generative AI techniques to deliver solutions across merchandising, supply chain, store operations, finance, and customer experience. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph), including multi-agent workflows, tool integration, and human-in-the-loop checkpoints. Build and operate retrieval-augmented generation (RAG) solutions that ground LLMs in Family Dollar's enterprise data, including ingestion, embeddings, vector and hybrid search, reranking, and evaluation. Establish and maintain MLOps pipelines for AI workloads, including CI/CD, model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, including prompt injection defense, PII handling, content safety, role-based access controls, and audit logging - partnering closely with platform, security, infrastructure, and business stakeholders to ensure deployments meet Family Dollar's standards for identity, networking, data residency, and compliance. Evaluate vendor and partner AI products for fit within Family Dollar's IT estate; build proofs of concept, run technical bake-offs, and produce clear recommendations. Execute experiments to vet emerging AI capabilities and determine their internal product-market fit. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Manage the full lifecycle of your code, from initial prompt engineering and fine-tuning to CI/CD and real-time monitoring of agent performance. Mentor junior engineers and share knowledge across the AI and Automation team. Partner with IT support teams to co-own AI application support, including on-call coverage, while progressively transitioning ownership through SOPs, runbooks, and helpdesk documentation Performs other duties as assigned Position Requirements: Fully onsite office work environment Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 2+ years of experience developing AI solutions. Write clean, well-tested, well-documented Python code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Ability in developing, presenting and communicating technical concepts to varying audiences. Possesses a sense of urgency as well as the ability to motivate a team towards achieving results in a dynamic environment Experience in retail, supply chain, or large-scale operational environments within retail systems (POS, ERP, CRM, inventory, supply chain, etc). Advanced knowledge of recent GenAI platform advancements from top providers as well as equivalent platforms hyperscalers Experienced in responsible AI practices, model governance, and frameworks for evaluating LLM safety and accuracy. Contributions to open-source AI projects or relevant publications "Projected Salary Range: $121,000 to $151,000" 20% Bonus opportunity + other incentives Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities. Full time 510 Volvo Parkway,Chesapeake,Virginia 23320 IT Development Family Dollar