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City/State Virginia Beach, VA Work Shift Multiple shifts available Overview: Sentara is hiring a Senior MLOps & Generative AI Engineer! This position is fully remote! Candidates must reside in one of the following states: Alabama, Delaware, Florida, Georgia, Idaho, Indiana, Kansas, Louisiana, Maine, Maryland, Minnesota, Nebraska, Nevada, New Hampshire, North Dakota, Ohio, Oklahoma, Pennsylvania, South Carolina, South Dakota, Tennessee, Texas, Utah, Washington, West Virginia, Wisconsin, or Wyoming. Overview We are seeking a highly skilled and experienced Senior MLOps & Generative AI Engineer to join our growing AI organization and help advance current and future initiatives applying machine learning, deep learning, NLP, and Generative AI technologies to improve healthcare outcomes and operational excellence. This role combines two critical focus areas: MLOps Engineering - building and scaling enterprise-grade ML infrastructure, deployment pipelines, observability, governance, and automation capabilities. Generative AI Engineering - designing, architecting, deploying, and optimizing secure, production-ready GenAI applications and platforms leveraging LLMs, RAG architectures, vector databases, prompt orchestration, and AI evaluation frameworks. As a Senior Engineer, you will partner closely with AI Scientists, Data Engineers, Software Engineers, Architects, and Product teams to operationalize AI/ML and Generative AI solutions at enterprise scale. You will play a key role in shaping the organization's AI platform strategy, driving best practices, and delivering scalable, secure, and reliable AI systems in production healthcare environments. Key Responsibilities MLOps Engineering Responsibilities Design, build, and maintain scalable ML infrastructure and pipelines supporting model training, deployment, monitoring, governance, and lifecycle management. Develop and optimize CI/CD pipelines for machine learning and AI workloads across development, staging, and production environments. Build reusable ML platform capabilities including feature stores, model registries, experimentation frameworks, artifact management, and deployment automation. Implement scalable orchestration and workflow solutions for batch and real-time ML inference workloads. Create robust monitoring systems to measure model performance, detect model drift, monitor data quality, and ensure production reliability. Develop automation tools and self-service capabilities to improve the efficiency, scalability, and reliability of MLOps processes. Collaborate with Data Scientists and Software Engineers to streamline the ML lifecycle from experimentation through enterprise production deployment. Apply software engineering best practices to AI/ML systems including testing, observability, resiliency, security, versioning, and infrastructure-as-code. Identify gaps and improvement opportunities within the organization's ML platform ecosystem and architect scalable solutions to address them. Support enterprise AI governance, compliance, auditability, and model risk management requirements. Ensure platform scalability, reliability, security, and operational excellence across AI/ML systems. Generative AI Engineering Responsibilities Lead the architecture, design, and deployment of enterprise Generative AI solutions leveraging LLMs, foundation models, and agentic AI systems. Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases, embeddings, semantic search, reranking, and retrieval optimization strategies. Build scalable LLM orchestration frameworks using technologies such as LangChain, LlamaIndex, Semantic Kernel, or equivalent frameworks. Develop advanced prompt engineering strategies, prompt chaining, context management, and agent workflows to improve LLM accuracy and reliability. Evaluate and implement fine-tuning, parameter-efficient tuning, and prompt-based optimization approaches for domain-specific use cases. Build AI evaluation and benchmarking frameworks to measure hallucination rates, response quality, grounding accuracy, toxicity, bias, latency, and business performance metrics. Implement AI safety guardrails, governance controls, content filtering, and responsible AI practices for enterprise healthcare environments. Design scalable GenAI APIs and microservices supporting high-throughput enterprise AI applications. Optimize GenAI systems for cost, latency, throughput, and inference performance across cloud and hybrid environments. Integrate enterprise data sources, healthcare systems, and knowledge repositories into secure GenAI workflows. Research and evaluate emerging GenAI technologies, open-source frameworks, and foundation models to drive innovation and continuous improvement. Develop architecture diagrams, technical roadmaps, implementation strategies, and executive-level documentation for enterprise AI initiatives. Collaborate with cybersecurity, compliance, and infrastructure teams to ensure secure and compliant deployment of GenAI solutions involving PHI and sensitive healthcare data. Contribute to the development of AI platform standards, reusable GenAI accelerators, templates, and engineering best practices. Required Qualifications 5+ years of experience building and deploying production software, ML systems, or AI platforms. 1+ years of hands-on experience building production Generative AI or LLM-based applications. Strong programming skills in Python and experience with software engineering best practices. Experience with major deep learning and LLM frameworks such as PyTorch, Hugging Face Transformers, TensorFlow, or equivalent. Hands-on experience implementing RAG architectures, vector search, embeddings, prompt engineering, and LLM orchestration frameworks. Experience with vector databases such as Pinecone, Weaviate, Chroma, FAISS, Milvus, or equivalent technologies. Experience deploying AI/ML systems in cloud environments including AWS, Azure, or GCP. Strong understanding of APIs, distributed systems, microservices, and scalable backend architectures. Experience with Kubernetes, containerization, orchestration, and cloud-native infrastructure. Experience implementing CI/CD pipelines, infrastructure automation, and MLOps best practices. Experience building monitoring, observability, and alerting solutions for ML and AI systems. Strong understanding of AI/ML lifecycle management, governance, model versioning, and production operations. Experience designing secure, scalable, production-ready AI platforms and services. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Previous experience implementing Generative AI and MLOps solutions within healthcare environments. Experience working with EPIC or healthcare interoperability platforms. Understanding of HIPAA, PHI handling, healthcare compliance, and responsible AI practices. Experience with AI governance frameworks, LLM evaluation methodologies, and AI safety tooling. Experience with GPU infrastructure optimization and scalable inference architectures. Familiarity with multi-agent AI systems and autonomous workflows. Experience with event-driven architectures, streaming pipelines, and real-time inference systems. Exposure to model fine-tuning techniques including LoRA, PEFT, RLHF, or domain adaptation strategies. Experience with enterprise AI platform architecture and internal developer platforms. Prior experience mentoring engineers and leading technical initiatives. Education 5+ years of relevant experience with a degree (Required) or 7+ years of relevant experience without a degree (Required) Experience in lieu of Bachelor's Degree. Certification/Licensure No specific certification or licensure requirements Experience 5 to 7 years of relevant experience We provide market-competitive compensation packages, inclusive of base pay, incentives, and benefits. The base pay rate for Full Time employment is: $91,416.00 - $152,380.80. Additional compensation may be available for this role such as shift differentials, standby/on-call, overtime, premiums, extra shift incentives, or bonus opportunities. Benefits: Caring For Your Family and Your Career • Medical, Dental, Vision plans • Adoption, Fertility and Surrogacy Reimbursement up to $10,000 • Paid Time Off and Sick Leave • Paid Parental & Family Caregiver Leave • Emergency Backup Care • Long-Term, Short-Term Disability, and Critical Illness plans • Life Insurance • 401k/403B with Employer Match • Tuition Assistance - $5,250/year and discounted educational opportunities through Guild Education • Student Debt Pay Down - $10,000 • Reimbursement for certifications and free access to complete CEUs and professional development •Pet Insurance •Legal Resources Plan . click apply for full job details

Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let s grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master s degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA

At Genworth, we empower families to navigate the aging journey with confidence. We are compassionate, experienced allies for those navigating care with guidance, products, and services that meet families where they are. Further, we are the spouses, children, siblings, friends, and neighbors of those that need care-and we bring those experiences with us to work in serving our millions of policyholders each day. We apply that same compassion and empathy as we work with each other and our local communities. Genworth values all perspectives, characteristics, and experiences so that employees can bring their full, authentic selves to work to help each other and our company succeed. We celebrate our diversity and understand that being intentional about inclusion is the only way to create a sense of belonging for all associates. We also invest in the vitality of our local communities through grants from the Genworth Foundation, event sponsorships, and employee volunteerism. Our four values guide our strategy, our decisions, and our interactions: Make it human. We care about the people that make up our customers, colleagues, and communities. Make it about others. We do what's best for our customers and collaborate to drive progress. Make it happen. We work with intention toward a common purpose and forge ways forward together. Make it better. We create fulfilling purpose-driven careers by learning from the world and each other. POSITION TITLE Vice President, Enterprise Architecture and AI This role is not eligible for employment visa sponsorship. POSITION LOCATION This position is available to Virginia residents in Richmond, Virginia in office/hybrid applicants. A Hybrid schedule of both Remote and In-Office days is required. In office days are Tuesday, Wednesday and Thursday with working hours targeting our core business hours of 9am-5pm EST. YOUR ROLE Genworth CareScout 's Technology Organization is on a transformational journey to become a leading enterprise technology function, one that drives innovation, enables business agility, and delivers scalable, resilient, and customer-centric solutions. At this pivotal moment, Genworth CareScout is seeking a visionary and transformational executive to serve as Vice President, Enterprise Architecture and AI, reporting directly to the Chief Information Officer. This Vice President will own the enterprise-wide architecture vision and AI strategy that shapes how we build, modernize, and evolve our technology landscape. The role carries full executive accountability for defining technology direction, enterprise standards, governance frameworks, and reference architectures, while simultaneously leading AI as a transformative enterprise capability that accelerates business outcomes across Genworth and CareScout. As a critical member of the Technology Leadership Team, this role will set the architectural and AI agenda for the enterprise, chair the Architecture Review Board, and serve as a key voice in shaping Genworth's goals and Future-Proof Technology Strategy. The VP oversees the full Architecture discipline: Enterprise Architecture, Data Architecture, Infrastructure Architecture, Platform Architecture, Security Architecture, Solution Architecture, and the Architecture leadership function-as well as enterprise AI strategy, governance, and enablement. This is a unique opportunity to shape the future of technology at Genworth CareScout, lead cross-functional teams, and drive enterprise-wide transformation across a diverse portfolio of insurance, digital, and services businesses. WHAT YOU WILL BE DOING Enterprise Architecture Strategy & Vision Set and own Genworth's enterprise architecture vision and long-term technology strategy, ensuring direct alignment with business objectives and the Future-Proof Technology Strategy Establish and govern target-state architectures, business capability models, value streams, and enterprise technology roadmaps that drive investment decisions, platform modernization, and portfolio rationalization Lead enterprise-wide current-state assessments and strategic gap analyses across application, data, infrastructure, security, and integration domains to shape transformation priorities and capital allocation Drive architectural coherence and technology simplification across the enterprise, reducing fragmentation and ensuring solutions are scalable, interoperable, and aligned to shared enterprise standards Serve as the enterprise's chief architectural authority, providing executive-level strategic counsel on technology direction, platform strategy, emerging risks, and long-term technology investments AI Strategy & Enterprise Enablement Own and drive the enterprise AI strategy, architecture roadmap, and reference frameworks that enable scalable, responsible, and measurable AI adoption across Genworth and CareScout Lead the vision and architecture for AI capabilities including machine learning, generative AI/LLMs, intelligent automation, agentic AI patterns, and advanced analytics at enterprise scale Establish comprehensive AI governance frameworks covering model lifecycle management, responsible AI principles, data quality, bias monitoring, explainability, and regulatory compliance Own the enterprise AI intake and prioritization process, ensuring AI investments are strategically aligned to high-value business outcomes and governed by enterprise architecture standards Partner with executive leaders across the organization to identify transformative AI opportunities and drive enterprise-wide adoption Architect enterprise AI platforms and integration patterns that ensure scalability, reproducibility, observability, cost efficiency, and security across production environments Represent the company's AI vision and capabilities to the Board of Directors, regulators, industry forums, and strategic partners Architecture Governance & Standards Establish and chair the Architecture Review Board (ARB), ensuring enterprise architectural decisions are consistent, strategically governed, and positioned to enable-not gate-delivery Define and enforce architecture governance processes, policies, and enterprise standards leveraging frameworks such as TOGAF and industry best practices Own the development and evolution of architecture principles, reference models, technology standards, and enterprise pattern libraries that accelerate delivery and promote reuse at scale Govern the enterprise technology portfolio to optimize investments, reduce redundancy, retire technical debt, and ensure alignment to target-state architectures and business priorities Ensure enterprise architecture and AI practices support regulatory compliance, data governance, privacy, and security-by-design principles across all technology domains Business Partnership & Strategic Advisory Serve as a trusted executive advisor to the CIO, executive leadership team, and Board of Directors on technology direction, AI strategy, architectural trade-offs, and enterprise risk Translate complex business and market challenges into elegant, scalable architectural strategies that balance immediate operational needs with long-term enterprise positioning Partner at the executive level with Engineering, Cybersecurity, Infrastructure, Delivery, and business leaders to ensure architectural alignment and shared accountability across all technology domains Own enterprise-level build vs. buy recommendations, vendor platform evaluations, and strategic technology investment decisions with clear architectural and business rationale Deliver executive-level reporting on architecture maturity, AI enablement progress, technology risk posture, and strategic outcomes to senior leadership and Board-level governance forums Represent Genworth externally in industry forums, technology partnerships, and peer networks to advance the company's technology reputation and inform strategic direction Technology Modernization & Innovation Drive enterprise technology modernization strategy including cloud adoption, API-enabled architectures, microservices, platform rationalization, and legacy-to-modern transitions across Genworth's insurance and digital ecosystems Own enterprise integration strategy connecting core insurance platforms, digital channels, data ecosystems, CareScout services, and third-party partners through modern, scalable architectural patterns Anticipate and evaluate emerging technologies, architectural paradigms, and AI advancements, providing the enterprise with a forward-looking perspective on opportunities, risks, and strategic implications Champion innovation by sponsoring proof-of-value initiatives across AI, automation, intelligent document processing, advanced analytics, and next-generation platform capabilities Advance business target architectures and the enterprise architecture pattern library to accelerate delivery velocity and promote consistent, reusable solutions across the organization Build & Lead High-Performing Teams Build, lead, and scale a world-class architecture and AI organization, attracting and retaining top talent across enterprise architecture, solution architecture, data architecture, AI engineering, and related disciplines Develop and mentor the next generation of architecture and AI leaders . click apply for full job details

Job Location CINCINNATI GENERAL OFFICES Job Description Do you thrive on tackling billion-dollar data science challenges involving trillions of data points? Are you passionate about breaking new ground where computer science meets hard science? If transforming raw, untidy data into game-changing insights-and surprising business leaders with the power of Generative and Agentic AI-sounds like your mission, then P&G is the place for you. As a Data Scientist in our organization, you will play a crucial role in disrupting current business practices by designing and implementing innovative models that enhance our processes. You'll design and implement advanced models that push the boundaries of AI, optimization, simulation, and machine learning. Your expertise will drive scalable, innovative solutions that combine: Cutting-edge Operations Research (optimization, simulation) State-of-the-art machine learning (tree models, deep learning, reinforcement learning) Next-gen Generative AI and Agentic AI techniques to build dynamic, intelligent systems Collaborating closely with our Data and AI Engineering teams, you'll turn complex algorithms into robust, production-ready products deployed at scale in cloud environments. From exploratory data analysis and feature engineering to delivering actionable insights, your work will directly shape P&G's competitive edge. Along the way, you'll grow as a recognized thought leader-mentoring others, sharing your know-how, and quantifying your impact on real-world business outcomes. Key Responsibilities: Invent and Innovate: Lead the design and development of cutting-edge data science and AI algorithms that challenge the status quo Collaborate to Scale: Partner with engineering teams to productionize and deploy scalable, high-impact solutions Master Large and Complex Data: Drive exploratory analysis, feature engineering, and modeling on massive datasets using cloud tools and platforms Inspire and Elevate: Mentor fellow data scientists and become a go-to expert in AI, optimization, or generative techniques Deliver Impact: Translate complex data into strategic insights that transform business decisions and outcomes Job Qualifications Required: Bachelor's, Master's, and/or postgraduate in a quantitative field (Operations Research, Computer Science, Engineering, Applied Mathematics, Statistics, Physics, Analytics, etc.) 5+ years of experience in Data Science or related field, with proven record of business impact. Doctoral level research involving the use or development of AI/ML techniques may be considered in lieu of professional experience Proficient in programming languages such as Python and familiar with major Data Science/machine learning libraries like OpenCV, scikit-learn, PyTorch, TensorFlow/Keras, and Pandas. Demonstrated ability to develop and test code within cloud environments. Experience with large datasets and developing in cloud computing platforms such as GCP or Azure. Experience applying analytic methodologies such as Machine Learning, Optimization, Simulation, and Generative and Agentic AI to real-world problems. Familiarity with DevOps environments, including tools like Git and CI/CD practices. Strong written and verbal communication skills, with the ability to influence others to take action. Ability to work onsite in Cincinnati, OH based office on a hybrid work schedule. Preferred: Agentic Development: Has experience developing and deploying AI Agents or agentic workflows in any of the major cloud environments. Familiarity with cutting-edge frameworks and techniques: In this constantly evolving space, evidence of experimenting with the latest releases in foundational models, knowledge graphs, agentic platforms, and the broader AI field. A commitment to lifelong learning, keeping up to date with the latest technology trends, and a willingness to teach others while learning new techniques. Ability to influence the business by translating complex topics and techniques into concepts that non-technical people can understand and buy into. Compensation for roles at P&G varies depending on a wide array of equal opportunity factors including but not limited to the specific office location, role, degree/credentials, relevant skills, and level of experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process. Our company is committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE . P&G participates in e-verify as required by law. Qualified individuals will not be disadvantaged based on being unemployed. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Job Schedule Full time Job Number R Job Segmentation Experienced Professionals Starting Pay / Salary Range $110,000.00 - $165,300.00 / year

Build the systems that test the technology shaping the future of RF and microwave communications. About the Company Mission Microwave Technologies was founded in 2014 to revolutionize the next generation of Solid-State Power Amplifiers (SSPAs) and Block Upconverters (BUCs). We leverage advanced GaN transistors, proprietary power-combining techniques, and innovative full-system designs to deliver the industry's most efficient, compact, and lightweight high-power SSPAs. With more than 100 years of combined leadership experience supplying high-performance, high-reliability RF solutions to commercial, military, and space customers, Mission Microwave has grown rapidly over the past decade and is backed by a private equity firm committed to long-term innovation and expansion. We are proud to be ranked on Fortune's Best Workplaces in Manufacturing & Production and to have been recognized as a Great Place to Work since 2022. Mission Microwave is headquartered at 6060 Phyllis Drive, Cypress, CA 90603. About the Role Are you a LabVIEW expert who loves building elegant, high-efficiency automation systems? Do you get energized by turning complex RF/microwave test requirements into software that is fast, accurate, and rock-solid? If so, you'll thrive as a LabVIEW Programmer at Mission Microwave Technologies. In this role, you will develop, optimize, and maintain the automated test and data-acquisition systems that ensure the performance and reliability of our cutting-edge RF and microwave products. You'll work at the intersection of software engineering, hardware validation, and hands-on lab work supporting both high-volume production and next-generation engineering development. What You'll Do Develop, debug, and maintain LabVIEW-based software for automated test systems, DAQ, instrument control, and engineering test benches.Interface with industry-standard RF/microwave instruments-signal generators, VNAs, spectrum analyzers, power meters, and more-across GPIB, USB, LAN, PXI, and other protocols.Collaborate with RF engineers, test engineers, and manufacturing teams to transform test requirements into scalable software architectures, test sequences, GUIs, and reporting tools.Ensure software reliably measures key RF/microwave performance metrics, including gain, power, efficiency, noise figure, and linearity.Apply modern software engineering best practices: modular design, clean code, documentation, version control, and maintainability.Upgrade and optimize legacy test platforms to enhance speed, reliability, and user experience.Provide hands-on support on the factory floor-troubleshooting hardware/software interactions, commissioning systems, and resolving issues quickly.Drive continuous improvement initiatives around automation workflows, data management, and instrument integration.Support new product introduction (NPI), ensuring test software scales with production throughput, yield, and quality goals.Participate in system integration and test-fixture discussions, aligning software architecture with hardware and manufacturing strategies. What You Bring Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, or a related technical field 5+ years developing LabVIEW applications in test automation or DAQ environments 3+ years experience with RF/microwave test and measurementHands-on experience controlling oscilloscopes, VNAs, signal generators, power meters, DAQs, and similar lab equipmentAdvanced proficiency in LabVIEW (G-language), including modular design and state-machine architecturesStrong understanding of GPIB, USB, Ethernet, LXI, and related instrumentation protocolsExcellent troubleshooting and root-cause analysis skills-especially for software/hardware interactionsAbility to work in a fast-paced lab and manufacturing environment with engineers, technicians, and QA teams Self-driven, detail-oriented, and collaborative, with a strong sense of ownership and responsibilityAbility to handle sensitive information with discretion Bonus Points LabVIEW certification (CLD, CLA)Experience with LabVIEW Analytics or Machine Learning ToolkitFamiliarity with Matlab, Python, and/or RExperience with GPUs, FPGAs, or NPUs At Mission Microwave, you don't just take a job; you step into a mission that matters. We design and build world-class RF and microwave solutions that power the technologies behind defense, space, and next-generation communications, and we do it with precision, purpose, and pride. Here, your ideas are heard, your expertise is trusted, and your impact is visible from the first design review to the moment our products perform in the most demanding environments on Earth and beyond. You'll work alongside intelligent, driven people who care deeply about craftsmanship, collaboration, and doing the right thing, in a culture that values growth, integrity, and human connection as much as technical excellence. If you're looking for a place where your work truly matters, where you can stretch, learn, and build something extraordinary with a team that has your back, Mission Microwave is where your next chapter begins. Apply Now. Mission Microwave is proud to be an Equal Opportunity Employer. We are committed to treating all employees and applicants with respect and dignity, and to maintaining a workplace free from unlawful discrimination and harassment. All qualified applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or any other characteristic protected by federal, state, or local laws. Mission Microwave maintains a drug-free workplace and conducts pre-employment background checks and, where permitted by law, substance-abuse testing. Many of our roles support U.S. Government programs and require the ability to obtain and maintain a security clearance. Security clearances may only be granted to U.S. citizens. Applicants who receive a conditional offer may be subject to government security investigations and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that Mission Microwave may share your application materials, including your resume and any related personal information or documentation, with its subsidiaries or affiliated partners strictly for the purpose of evaluating you for current or future employment opportunities. Compensation details: 00 Yearly Salary PIdedddb5f5ef3-8647

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home. Job Description As a valued contributor to our team, you will design, produce, test, or implement software, technology, or processes across multiple projects, programs, or products, as well as create and maintain IT architecture, large scale data stores, and cloud-based systems. THE IMPACT YOU WILL MAKE The Advisor Software Engineer (AI/ML) role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities: Determine the needs of the customer groups across multiple projects, programs, or products while identifying and resolving conflicting or complementary needs across customer groups. Design and develop software solutions to meet needs and may also lead matrixed teams. Apply extensive expertise in process-driven approach in designing solutions. Implement new software technology and coordinate simultaneous implementation tasks across teams. Oversee the maintenance of existing software There is 1 opening for this position which can be based in our Reston, VA office. An Advisor role at Fannie Mae is on the same level as a Manager, but in an IC capacity. THE EXPERIENCE YOU BRING TO THE TEAM Minimum Required Experiences 6 years of hands-on software engineering experience designing, developing, and maintaining scalable enterprise applications and cloud-native solutions. Strong proficiency in Python development, including backend services, APIs, automation, data processing workflows, and production-ready AI/ML applications. Strong skills in system design and architecture, including scalable, resilient, secure, and maintainable solution design. Experience building API-driven solutions, including REST APIs, microservices, service orchestration, secure API development, and enterprise system integrations. Hands-on experience with AWS cloud-native development, including serverless, event-driven, containerized, and distributed application patterns. Experience with SQL and data platforms, including PostgreSQL, Snowflake, or similar relational and analytical database technologies. Deep understanding of the software development lifecycle, including requirements analysis, design, development, testing, deployment, production support, and maintenance. Experience with engineering best practices, including secure coding, code reviews, automated testing, CI/CD, observability, performance tuning, and production issue resolution. Experience collaborating with technical and business stakeholders, including translating business needs into technical solutions and communicating risks, trade-offs, and delivery impacts. Desired Experiences Bachelor's or master's degree in Computer Science, Engineering, Information Technology, Data Science, Machine Learning, Artificial Intelligence, or a related field. Experience designing and delivering AI-enabled enterprise software solutions, including GenAI applications, intelligent automation, AI-assisted workflows, and AI-driven decision support. Experience with MLOps, vector databases, embedding-based search, MCP-based tool integration, and enterprise AI governance practices. Experience writing technical papers, invention disclosures, patent-supporting documentation, or reusable engineering playbooks for emerging technology solutions. Experience with testing strategies and tools, including unit, integration, functional, regression, and performance testing. Experience with Scaled Agile Framework, Agile methodology, cybersecurity vulnerability remediation, and enterprise delivery practices. Strong relationship management skills with the ability to collaborate across stakeholders, influence outcomes, and support strategic enterprise technology initiatives. AWS Cloud Technologies Hands-on AWS software engineering experience, including application development using AWS service APIs, AWS CLI, AWS SDKs, and cloud-native deployment patterns. Hands-on experience with core AWS services, including AWS Lambda, Amazon S3, Amazon EC2, Amazon API Gateway, IAM, CloudWatch, EventBridge, SQS, SNS, and Step Functions. Experience with AWS AI/ML services, including Amazon SageMaker, Amazon Bedrock, and AWS-based model deployment or inference patterns. Experience with containers and DevOps practices, including Docker, Kubernetes, ECS/EKS, CI/CD pipelines, automated testing, and release management. Understanding of cloud security and compliance practices, including IAM, encryption, secrets management, vulnerability remediation, logging, and secure application design. AI/ML and GenAI Technologies Hands-on experience in machine learning, AI engineering, data science, or applied AI solution development. Hands-on experience with Generative AI and Large Language Models, including OpenAI, Anthropic, Cohere, Amazon Bedrock, or similar enterprise AI platforms. Strong proficiency in Python and AI/ML libraries, including PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy, and related ML frameworks. Experience building Retrieval-Augmented Generation solutions, including embeddings, vector databases, semantic search, document retrieval, chunking strategies, prompt grounding, and response evaluation. Experience with LLM application patterns, including prompt engineering, guardrails, model evaluation, tool/function calling, agentic workflows, and responsible AI considerations. Familiarity with AI application frameworks and tools, such as LangChain, LlamaIndex, FastAPI, MCP tools, vector databases, and API-based AI service integration. Experience with model development and deployment practices, including feature engineering, model serving, model monitoring, MLOps, and productionizing AI/ML capabilities. Leadership and Innovation Skills Proven experience leading technical delivery within software engineering teams, including solution direction, task assignment, progress monitoring, issue resolution, and delivery accountability. Experience mentoring and coaching engineers, including technical guidance, code review feedback, design support, and professional development. Ability to influence technical decisions and engineering practices, including architecture discussions, design trade-offs, quality improvements, and adoption of modern AI/ML and cloud engineering standards. Experience partnering with product owners, architects, business stakeholders, risk, security, and operations teams to deliver solutions aligned with business outcomes and enterprise standards. Ability to produce high-quality technical documentation, including architecture papers, solution design documents, technical white papers, AI/ML implementation guides, and executive-ready technical summaries. Experience contributing to innovation artifacts, such as invention disclosures, patent-supporting technical writeups, proof-of-concept documentation, and publication-ready technical papers when applicable. Enterprise Risk Technology - Software Engineering - Advisor 155 000.00 JR2645 Qualifications Amazon Web Services (AWS), Amazon Web Services (AWS), Atlassian JIRA, AWS Machine Learning, Business Process Management Skills, Cloud Technology, Communicating in Technical Writing, Communication, Computer Vision, Configuration Management (CM), Coordination, Customer and Market Insights, Data Analysis Interpretation, Data Mining, Data Visualization, Enterprise Information Security Architecture, Gradient Boosting Algorithms, Identity Management (IdM), Internal Auditing, Knowledge Management, Machine Learning (AI), Model Explainability, Multi-modal Machine Learning Models, Natural Language Processing (NLP), Neural Networks Methods and Algorithms + 20 more Education: Master's Level Degree: Artificial Intelligence and Robotics (Required) The future is what you make it to be. Discover compelling opportunities at For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote. Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form . The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications . click apply for full job details

About the Company: At SK Hynix Memory Solution, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape. We're looking for innovative minds to join our mission of shaping the future of technology. At SK Hynix Memory, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing. Internship Duration: 6 months Hours: 40 hours per week Start Date: Immediately About the Role Prompt Engineering & Iterative Refinement with AI-assistances. Will work closely with senior engineers to strengthen enterprise security and gain hands-on experience in identity, authentication, and cryptography. Responsibilities Design and deploy on-prem AI infrastructure - including GPU clusters, model serving (e.g., vLLM, TGI, Triton). High proficiency in modern AI-assisted IDEs and platforms like Cursor. Developing, coding, and debugging software tools using various programming languages and technologies, often focusing on areas C++, JavaScript, Python, etc. Designing and implementing storage test tools tailored to specific needs, including software design, library, and user facing APIs. Assist in the lifecycle management of RSA keys, ECC keys, and X.509 digital certificates. Research emerging cryptographic standards and security best practices. Qualifications Pursuing a degree in Computer Science, Cybersecurity, or related field. Basic understanding of cryptography, PKI concepts, and security protocols (SSL/TLS). Familiarity with RSA/ECC key pairs and hashing algorithms. Knowledge of operating systems (Windows/Linux) and networking fundamentals. Scripting experience (PowerShell, Python) is a plus. Preferred Qualifications Basic understanding of HSMs (Hardware Security Modules) or cloud KMS (Key Management Services) Hands-on exposure to certificate management workflows (issuance, revocation, renewal, validation) in enterprise environments. Familiarity with certificate formats (PEM, DER, PFX/PKCS) and certificate extensions (SAN, Key Usage, Extended Key Usage). Exposure to security standards and frameworks such as NIST SP 800-57, RFC 5280, or FIPS 140-2/3. Knowledge of automation tools ( Jenkins, Bamboo ) for infrastructure-as-code and certificate lifecycle automation. Strong communication skills and ability to document technical processes clearly. COMPENSATION: $35/hr - $45/hr

Location/Division Specific Information - Austin, TX/ USA - Remote This position supports hybrid work schedule depending on organization needs. How will you make an impact? - Jabil is seeking a Sr. Software Test Development Engineer who will directly contribute to the transformative growth within our Enterprise and Infrastructure division by applying unique and innovative approaches to solving problems within a large-scale software production environment. The Software Test Development Engineer play a vital role in ensuring the quality and reliability of hardware products, contributing to the overall success of the manufacturing process and customer satisfaction. You will be responsible for contributing to the end-to-end architecture, definition, development and production deployment of production software applications and infrastructure spanning multiple customers and manufacturing regions. You will also be responsible for interfacing with internal engineering, manufacturing and quality teams and our end customers to ensure your software deliverables meet the rigorous standards of Jabil's world-class manufacturing environments. What will you do? - Test System Development: Design and develop test systems and procedures for manufacturing processes. This includes creating test plans, test cases, and test scripts to assess the functionality and performance of hardware components or devices such as motherboard, memory, CPU, storage (SSD, HDD, NVMe) and PCIE devices (NIC, GPU, Mezz cards, RAID cards) Test Software Development: Create, validate, release, and maintain test software and scripts that automate the testing process. This software may include code for controlling test equipment, collecting and analyzing data, and generating test reports Test Sustaining: Support and maintenance for the manufacturing server (L10) and rack (L11) level test software and infrastructure deployed at our production facilities, including the implementation of minor system configuration changes (new IPNs) Documentation: Maintain comprehensive manufacturing server (L10) and rack (L11) documentation of test procedures, specifications, and Infrastructure Collaboration: Work closely with cross-functional teams, including hardware engineers, manufacturing engineers, and quality assurance personnel, to ensure alignment on testing requirements and quality standards Continuous Learning: Stay updated on the latest advancements in testing technologies, methodologies, and industry best practices to keep manufacturing processes competitive and up to date Definition and collaboration on overall test infrastructure and application architectures How will you get here? - Education: BS degree in Electrical/Computer Engineering, Computer Science or related field is required Experience: 5-8 years' experience in a software manufacturing test development/sustaining with enterprise server, storage or networking products is required 10+ years of relevant experience in a software manufacturing test development/ sustaining with enterprise server, storage or networking products and some college coursework in lieu of a 4- yr. degree, will be considered Excellent verbal and written communication skills is required Knowledge, Skills, Abilities: Expertise in the following programming/scripting languages: Python, Java, BASH. C, C++, experience a plus Linux development expertise with a solid understanding of its fundamentals: CentOS/Ubuntu Expertise with hardware and API solutions for controlling, managing and stressing L10 devices (servers, network and storage SSDs, NVMe): IPMI, Redfish, mprime, FIO, Linpack, ptugen, memtester Expertise in the creation and configuration (DHCP, PXE boot, nginx) of Virtual Machines (VMs) using VMWare Expertise with leading edge networking systems, hardware, software and protocols including but not limited to enterprise ethernet datacenter switching/routing L1, L2, and L3 (BGP, DHCP Relay, ECMP). Arista CloudVision is a plus Experience with code versioning tools (Git preferred) Strong knowledge of professional software engineering practices for the complete software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Ability to travel up to 10% globally as required Preferred Qualifications: MS preferred Experience working in a multi-site and multi-cultural environments is a plus