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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 Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a 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. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), 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 and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences 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. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus 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

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal Applied AI Engineer Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. This role is based at our h eadquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. ABOUT THE TEAM Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. THE OPPORTUNITY As a Principal Applied AI Engineer, you will serve as the technical linchpin for applied AI on the team, bringing deep hands-on expertise in designing and operating production LLM systems and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity AI systems - spanning code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability - set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. WHAT YOU'LL DO Develop Clean Software: Architect, build, and optimize high-performance production LLM systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase - and the AI systems built on it - cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier and AI-powered application layers - from feature scoping through implementation. Build prototypes to de-risk novel AI approaches and establish the standards others build on. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. REQUIRED QUALIFICATIONS Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Production LLM Systems: Deep hands-on experience designing and operating production LLM systems. AI Systems Expertise: Demonstrated expertise across code generation, agents, retrieval, structured generation, tool use, model routing, evaluation, and observability. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Domain Expertise: Strong distributed-systems, API, security, and reliability foundations, with the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. PREFERRED QUALIFICATIONS Compilers & Program Analysis: Experience with compilers, program analysis, formal or executable specifications, or legacy modernization is strongly preferred. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $200,000-$350,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process . click apply for full job details

Job Description Job Description The Configuration Analyst provides administrative and analytical support to the Configuration Management organization by coordinating engineering change activities, maintaining product configuration records, supporting the Configuration Control Board (CCB), and ensuring accurate data within Epicor and other business systems. This is a developmental role with a career path toward Configuration Manager. Crestview Aerospace Overview Crestview Aerospace is a manufacturing organization working closely with large aircraft and weapon systems OEMs, such as Boeing Defense, Bell, RTX/Collins Aerospace, Northrop Grumman and several others to deliver complex design-to-build and build-to print assemblies. Crestview Aerospace provides these assemblies in support of in-service platforms, such as: H-47, V-22, F-35, F-15, F-16, F-18, KC-135, E-2, and weapon systems such as Harpoon and SLAM-ER. Crestview Aerospace is comprised of two (2) manufacturing sites, with operations in St. Louis, Missouri and Crestview, FL, and employs approximately 300 professionals. Principal Responsibilities and Accountabilities: Initiate and process IECRs, EECRs, RTORs and engineering change records in Epicor. Maintain complete configuration records and audit trails. Coordinate CCB agendas, minutes, action items and follow-up. Verify documentation completeness before release. Update BOMs, routings and revision records as required. Perform configuration audits and reconcile engineering documentation with Epicor. Generate CCB metrics, queue aging, cycle time and status reports. Coordinate with Engineering, Manufacturing, Quality, Planning, Supply Chain and Program Management. Required Qualifications: Associate's or Bachelor's degree preferred (Engineering Technology, Business, Information Systems or related field). Strong organizational and administrative skills. Excellent written communication. Proficiency with Microsoft Office, especially Excel. Ability to learn ERP and configuration management systems. Preferred Experience: Epicor, SAP, Oracle or similar ERP. Document control or engineering administration. Engineering drawings, BOMs or manufacturing documentation. PLM/PDM or configuration management exposure. Work Environment: Primarily works in a manufacturing setting with exposure to machinery and production equipment. Requires standing for extended periods and occasional lifting of materials. May involve occasional travel to suppliers or other company locations. This job description in no way states or implies that these are the only duties to be performed by this employee. The employee may be required to follow other instructions and to perform other duties requested by their supervisor. Physical Requirements: Primarily manufacturing/assembly environment. Must be able to work in the following environmental conditions: noise, vibration, proximity to moving mechanical parts, moving vehicles, electrical current. Must be able to bend and reach. Must have close visual acuity such as viewing a computer terminal, extensive reading, visual inspection involving small defects, small parts, and/or operation of machines, and/or assembly or fabrication parts at close distance to the eyes. Must be able to communicate effectively. Must be able to maneuver up to 20 pounds. Will be performing substantial movements (motions) of the wrists, hands, and/or fingers. Crestview Aerospace is an Equal Opportunity Employer that recruits, hires, trains, and promotes employees in all job classifications without regard to race, color, religion, age, sex, sexual orientation, gender identity, marital status, national origin, disability, veteran's status, or other legally protected status. Sponsorship is not available for this role. Candidates must be legally authorized to work in the US on a permanent and consistent basis without company sponsorship now and in the future. This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. 'Green Card Holder'), Political Asylee, or Refugee.

Job Description Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Principal ML Platform Engineer Location: Remote (US) Lead the engineering of software that matters - driving AI automation for the world's largest enterprises. About the Team Appian Engineering spans the full depth of our platform: from the foundational layers that power enterprise scale, to the AI capabilities redefining what automation can do. We operate in a highly collaborative, fast-paced environment focused on technical precision, continuous learning, and high code quality. By joining our team, you will solve real-world problems that directly shape how Appian delivers our AI-Powered Process Automation platform to enterprises around the world. The Opportunity As a Principal Software Engineer, you will serve as a technical linchpin for the team, bringing deep expertise in cloud-native architecture and a track record of influencing engineering direction beyond your immediate scope. Equipped with cutting-edge AI tooling, you will drive the design and delivery of high-complexity engineering solutions, set the technical bar for the team, and lead other engineers towards solutions of real complexity to ensure flawless Enterprise-Grade Orchestration. What You'll Do Develop Clean Software: Architect, build, and optimize high-performance software systems while maintaining a strong personal technical presence on the team. Lead Platform Modernization: Spearhead strategic technological changes and champion code refactoring efforts to keep the core Appian codebase cutting-edge, modern, and performant. Engineer with AI: Use AI coding tools fluently as a force multiplier: generating, reviewing, and critically evaluating AI-assisted code to ship faster without compromising quality or correctness. Lead Architecture & Delivery: Drive technical story breakdowns, acceptance criteria, and architectural design across complex, multi-tier application layers - from feature scoping through implementation. Optimize Performance & Scale: Manage product availability, latency, scalability, and efficiency by engineering deep reliability into our core software systems and performing advanced system tuning. Drive Engineering Excellence: Radiate development best practices across the department, perform meticulous code reviews on design and implementation, and build automation frameworks to prevent problem recurrence. Lead & Grow Engineers: Actively coach and mentor engineers at multiple levels, identify and close skill gaps on the team, and take ownership of accelerating the technical growth of those around you. Influence Technical Documentation: Share your expert domain knowledge regularly across the department, building a reputation as a vital resource and publishing high-quality content to Engineering's permanent documentation site. Required Qualifications Education: Minimum of a Bachelor of Science degree in Computer Science or a related technical/analytical discipline. (Equivalent experience is not accepted in lieu of a degree). Experience: 10+ years of relevant software development experience with a BS (or 8+ years of experience paired with a Master of Science in Computer Science or related field). Technical Mastery: Expert coding, scripting, and debugging proficiency in one or more core enterprise programming languages, specifically Java, Python, or Go. Domain Expertise: Deep working knowledge of distributed systems, cloud infrastructure, and the ability to contribute meaningfully at a senior individual contributor level within that space. Cross-Team Influence: Demonstrated ability to drive technical decisions and shape engineering practices beyond a single team or project scope. AI-Augmented Development: Demonstrated experience using AI coding assistants and a strong ability to evaluate, coach others on, and selectively apply AI-generated code in a production engineering context. Production Mastery: Proven experience developing, optimizing, and maintaining a high-volume, mission-critical production service environment. Communication & Alignment: Exceptional ability to communicate highly technical architectures verbally, visually, and in writing to diverse engineering audiences. Preferred Qualifications Cloud Architecture: Strong experience designing microservices, working with containerization (Docker, Kubernetes), and implementing modern CI/CD pipelines. Cloud Platforms: Deep experience developing and operating infrastructure across public cloud ecosystems, specifically AWS, Azure, and/or GCP. We value experience with enterprise platforms such as Salesforce or ServiceNow, as these skills translate well into our Enterprise-Grade Orchestration environment. What We Equip You With High-Impact Autonomy: A leadership environment where you will have real ownership over your team's direction, the latitude to make meaningful decisions, and participation in broader Engineering discussions. New Hire Orientation: A robust onboarding experience designed to integrate you smoothly into our technology, culture, and leadership model so you can show up for your team from day one. Continuous Enablement: Access to premier learning resources and dedicated learning time focused on both your continued technical growth and your evolution as an engineering leader. Sponsored Certifications: Full corporate sponsorship for professional technical certifications to advance your engineering credentials. The base salary range represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range $175,000-$325,000 USD Tools and Resources Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires. Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for the most important business processes at the world's largest organizations. Our platform is known for its unique power, reliability, and scale. We've been automating processes for more than 25 years and have proven expertise in enterprise operations. For more information, visit Follow Appian: LinkedIn, YouTube, Instagram, Facebook, and X. Appian is an equal opportunity employer that strives to attract and retain the best talent . click apply for full job details

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Ambulatory Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.

Job Description Job Description Who we are Zus Health is an AI-native healthcare data platform that brings fragmented patient information together to make it complete, current, and actionable. Through our nationwide data network, platform, and intelligent workflows, we help providers, value-based care organizations, payers, life sciences, and digital health companies drive business results, strengthen provider trust, and improve operational efficiency. Founded in 2021 by Jonathan Bush, co-founder and former CEO of athenahealth, Zus is building the foundation for a more connected, precise, and effective healthcare system. What we're looking for Zus is hiring a Staff/Principal AI/ML Engineer to define how LLMs and AI agents power our products and the AI platform underneath them. You'll be one of the most seasoned AI/ML voices in the building, with real ownership of architecture, tooling and roadmap. Zus aggregates clinical data from across the healthcare ecosystem. That data is messy, multi-modal and enormously valuable. Modern foundation models finally make it possible to turn it into structured, trustworthy insight at the point of care and across populations. Your job is to make that happen, safely and at scale. This is a hands-on role. You'll write production code, ship prototypes to real users, set technical direction, and mentor the engineers who build alongside you. This work will require interactions with solution engineers, product managers, sales, and marketing. As part of our team, you will Architect our LLM platform. Design the shared infrastructure every AI feature at Zus runs on: model gateway and routing across frontier and open-weight models, prompt and version management, caching, cost and latency controls, and PHI-safe guardrails. Build agentic systems. Ship tool-using agents that reason over a patient's longitudinal record by summarizing histories, reconciling medications, surfacing care gaps and answering clinician questions with cited evidence. Use patterns like MCP servers, function calling and multi-step planning. Own retrieval over clinical data. Build RAG and hybrid search over FHIR resources and unstructured notes: chunking and embedding strategies for clinical text, vector and graph retrieval, reranking, and grounding so every answer traces back to its source document. Make evaluation a first-class system. Stand up offline and online evals: golden datasets with clinical reviewers, LLM-as-judge pipelines, regression suites in CI, and production monitoring for hallucination, drift and safety. Adapt models when prompting isn't enough. Fine-tune and distill (LoRA/PEFT, SFT, preference optimization) for clinical extraction, coding and normalization tasks where smaller, cheaper, specialized models win. Run AI/ML in production. Build CI/CD for models and prompts, inference serving, observability and human-in-the-loop feedback loops that turn user corrections into better models. Prototype with users. Work directly with providers, product managers and engineers to find high-leverage problems, ship prototypes fast, and iterate on real usage. Set the bar. Lead design reviews, write the docs and standards others build on, mentor engineers, and keep Zus current as the AI landscape moves. What you bring 7+ years building and shipping AI/ML systems, including 2+ years putting LLM-powered products into production for real users. Hands-on depth in modern LLM engineering: RAG, agents and tool use, structured outputs, prompt and context engineering, and the trade-offs between frontier APIs and open-weight models. A track record of building ML infrastructure others depend on - serving, pipelines, model and prompt versioning, CI/CD, monitoring. A rigorous approach to evaluation: you've designed eval sets and metrics, and you don't ship on vibes. Strong Python and software engineering fundamentals; fluency in PyTorch and the Hugging Face ecosystem. Production experience on a major cloud (AWS preferred) with containers, and infrastructure as code. Sound judgment about safety, privacy and reliability when models touch sensitive data. Clear writing and communication; you can explain model behavior and risk to clinicians, product leaders and executives. BS in Computer Science, Statistics or a related field, or equivalent experience. Are in the Boston metro and excited to collaborate in person on a hybrid schedule, or are remote (EST/CST) but willing to travel for in person collaboration occasionally. Bonus points Healthcare or clinical NLP experience, especially with FHIR, C-CDA, clinical terminologies or HIPAA-regulated data. Fine-tuning, distillation or preference optimization of LLMs at meaningful scale. Built MCP servers or multi-agent systems used in production. Inference optimization: quantization, speculative decoding, batching, GPU cost management. Designed and executed pre-training of transformer models. Open-source contributions, publications or talks in ML, NLP or LLM systems. Experience as the first or founding ML engineer at a growth-stage company. MS or PhD in a quantitative field. We will offer you Competitive compensation that reflects the value you bring to the team a combination of cash and equity Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it) Please Note: Research shows that candidates from underrepresented backgrounds often don't apply unless they meet 100% of the job criteria. While we have worked to consolidate the minimum qualifications for each role, we aren't looking for someone who checks each box on a page; we're looking for active learners and people who care about disrupting the current healthcare system with their unique experiences. We do not conduct interviews by text nor will we send you a job offer unless you've interviewed with multiple people, including the Director of People & Talent, over video interviews. Job scams do exist so please be careful with your personal information. Compensation Range: $190K - $250K

This job is with lululemon, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Description & Requirements who we are lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people. about this team The Technology Foundations team is a key part of the overall Technology team at lululemon. This team creates a uniquely lululemon, truly differentiated and elevate experiences and the associated enterprise services to streamline technology delivery for our technologists. The Technology Foundations team is focused on strategy and outcomes related to technology platforms, shared services, and engineering experiences. As the Director of Enterprise Engineering - Practices and Platforms, your role is pivotal in aligning the engineering direction across all technology departments, spanning Digital, Retail, Infrastructure, Product, and Supply Chain. Your focus is to craft and execute a visionary strategy and roadmap for engineering standards that ensure the secure, reliable, and consistent development of technology, provide engineering insights, and develop core developers platforms. core responsibilities Global Practices Program: Lead the Technology Practices, providing maturity guidelines and resources that empower teams throughout the enterprise. Strengthen the program that establishes and adopts engineering standards, ensuring scalability and future-proofing to accommodate business growth. Measure and improve engineering velocity, quality, and satisfaction. Build productivity dashboards across engineering teams. Establish industry standard metrics such as DORA and SPACE to capture the technical aspects of software development and the human and social factors that influence team performance Influence yearly financial investment decisions by shaping and enhancing these practices and standards Strategic Developers' Platform Ownership: Take ownership and operate strategic technical platforms, such as CICD and Observability, with the aim of accelerating organizational maturity and business value. Deliver and maintain core engineering tools, environments, and internal developer platforms (IDPs). Provide Seamless onboarding for new developers with a goal of being able to checkin code within 1 day. Reduction in build and deploy times by X%. Utilize these platforms to drive secure and reliable technology development, supporting the sustained growth of lululemon commerce. Engineering Leadership: Influence and guide Principal Engineering leadership through technical thought leadership, strategic partnership, investment alignment, and community building. Demonstrate a strong leadership style that inspires, motivates, delegates, and coaches teams to achieve high performance and passion for their products and services. Proactively build trusting relationships across the organization, including functional partners and global teams. Foster a culture of inclusion, diversity, and equity in alignment with the organization's IDEA commitment Your leadership will be instrumental in driving technological excellence, fostering collaboration, and ensuring the sustained success and growth of lululemon's global engineering endeavors. qualifications 10+ years of related work experience, with direct work experience across a variety of Engineering disciplines, including creating and managing community of practices in large technology organizations (1k+ people). 5+ years is a senior leadership position like Technology Director, or relevant management experience. Role model and champion modern ways-of-working such as Agile, DevOps and related practices, actively participate in an architecture community. Strong communication and "storytelling" skills - ability to articulate a vision or concept in simple terms to a broad audience at every level. must haves Acknowledge the presence of choice in every moment and take personal responsibility for your life. Possess an entrepreneurial spirit and continuously innovate to achieve great results. Communicate with honesty and kindness and create the space for others to do the same. Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. Foster connection by putting people first and building trusting relationships. Integrate fun and joy as a way of being and working, aka doesn't take yourself too seriously. additional notes Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time for this role. compensation and benefits package lululemon's compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $205,900 - 270,300 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program and equity offerings, subject to program eligibility requirements. At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth: Extended health and dental benefits, and mental health plans Paid time off Savings and retirement plan matching Generous employee discount Fitness & yoga classes Parenthood top-up Extensive catalog of development course offerings People networks, mentorship programs, and leadership series (to name a few) Note: The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice. workplace arrangement Hybrid In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.

AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (AI Foundations, VLM Customization) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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: The Principal Automation & AI Engineer serves as the technical leader responsible for building the automation, AI, analytics, and operational intelligence capabilities that enable Cloud & Infrastructure leadership team to effectively govern a global technology organization. The role drives operational excellence, financial accountability, service reliability, asset optimization, workforce productivity, and strategic decision-making through scalable engineering solutions and data-driven insights. Responsibilities of the Role: Intelligent Automation & AI Engineering Design, develop, test, and deploy RPA workflows and AI/ML models to automate complex business processes across multiple teams. Design, develop, and deploy enterprise-scale automation solutions supporting cloud, infrastructure, service management, asset management, and cloud financial operations. Build AI-powered workflows, copilots, and intelligent agents that automate routine operational activities and improve decision-making. Develop reusable automation frameworks, APIs, integrations, and self-service capabilities across technology platforms. Leverage machine learning, generative AI, and predictive analytics to identify risks, anomalies, optimization opportunities, and operational trends. Establish development standards, testing practices, security controls, and governance processes for automation and AI solutions. Requirements of the Role: Solid Experience: Minimum 6-9 years of progressive experience in automation engineering, software development, or a related technical discipline, with at least 3 years focused on RPA, AI/ML, or intelligent automation solutions. AI/ML Engineering: Practical experience building and deploying AI/ML models using frameworks such as Python, TensorFlow, PyTorch, scikit-learn, or Azure AI services. Software Engineering: Strong programming skills in Python, C#, .NET, PowerShell, or similar languages, with experience building REST APIs, microservices, and data pipelines. DevOps & CI/CD: Experience building and managing CI/CD pipelines, version control (Git), and DevOps practices tailored for automation development and deployment. Cloud Platforms: Working knowledge of cloud platforms (AWS, Azure , Snowflake preferred), including containerization, serverless computing, and cloud-native automation patterns Integration & APIs: Experience developing integrations using APIs, middleware, iPaaS solutions, and enterprise service bus technologies, including ServiceNow and ITSM platform integrations. Problem-Solving & Debugging: Strong analytical and debugging skills with the ability to diagnose complex technical issues across automation workflows, integrations, and AI models. Agile & Scrum: Experience contributing to Agile ceremonies, managing technical backlog items, and delivering iteratively in cross-functional teams. Coaching & Guidance: Ability to mentor and coach junior engineers, conduct code reviews, and promote engineering excellence within the team. Documentation & Communication: Strong written and verbal communication skills for creating technical design documents, runbooks, architecture diagrams, and stakeholder-facing presentations. Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field is preferred; equivalent practical experience will also be considered. Advanced degree in Computer Science, Artificial Intelligence, Data Science, or a related discipline is a plus. Familiarity with Agile methodologies or cloud platforms, or related certifications, is beneficial. 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.

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: Degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IS Applications Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.

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 Lead Developer is a hands-on "builder" role, and a senior technical staff engineer who can lead a team of developers and can also builds new AI applications and software including agentic AI applications, analytical solutions and pilot new ideas from incubation to deployment. This role is a 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. This position is fully onsite. Principal Duties & Responsibilities: Translate business requirements into target AI solutions that can be delivered fast and iteratively on Google Cloud Platform. Develop agentic AI applications using modern agent development kits and frameworks (e.g., Google Agent Development Kit, Gemini Agent Platform, LangGraph, etc), 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 and vectors. Deploy and maintain production-grade AI agents capable of reasoning, tool-use, and multi-step task execution. Establish and maintain MLOps and CI/CD pipelines for AI workloads, including model and prompt versioning, evaluation harnesses, monitoring, cost controls, and rollback procedures. Implement enterprise-grade guardrails for AI applications, prompt-injection defense, PII handling, content safety, role-based access controls, and audit logging; partnering with platform, security, infrastructure, and business stakeholders to meet Family Dollar's standards for identity, networking, data residency, and compliance. Define how AI applications integrate into Family Dollar's existing IT estate. Set integration patterns, APIs, and data contracts across identity, networking, data, and retail systems (POS, ERP, CRM, inventory, supply chain), partnering with the teams that own those systems. Own technical quality across the team's AI work - set and uphold engineering standards, review code, and keep technical debt low so solutions stay maintainable and easy to operate Partner with IT support to transition support gradually through SOPs, runbooks, dashboards, on-call coverage, and alerting, and escalation point after handover. Lead and mentor the engineering team, sharing knowledge and setting technical standards across the AI and Automation team. On call coverage (technical support) as needed. Performs other duties as assigned. Position Requirements: Fully onsite office work environment Minimum Requirements: Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). 5+ years of progressive IT experience in large, cross-functional teams or projects, preferably in a retail environment. 2+ years developing AI solutions in a leading role Write clean, well-tested, well-documented code; conduct code reviews; and contribute to internal libraries, templates, and engineering best practices. Sense of urgency and the ability to drive a delivery team toward results in a dynamic environment. Ability in developing, presenting and communicating technical concepts to varying audiences 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. Experience in Google Cloud Platform, generative AI, LLMs, and agentic frameworks "Projected Salary Range: $132,000 to 160,000". 20% annual bonus opportunity plus 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

We are more than a health system. We are a belief system. We believe wellness and sickness are both part of a lifelong partnership, and that everyone could use an expert guide. We work hard, care deeply and reach further to help people uncover their own power to be healthy. We inspire hope. We learn, grow, and achieve more - in our careers and in our communities. Job Description Summary: The Senior Systems Analyst Epic will play a crucial role in designing, building, testing, training, deploying, and supporting Epic applications to optimize clinical and operational workflows. This position requires a deep understanding of healthcare workflows, system integration, and project management to ensure the efficient operation of the healthcare system's IT infrastructure. Partners closely with operational leaders and end users to translate business requirements into reliable Epic configuration, integrations, and reporting-supporting safe patient care, efficient revenue cycle operations, and regulatory compliance while achieving Service Level Agreements (SLAs) relative to the supported applications. Provides technical expertise by enforcing the vision of the application and safeguarding the integrity and security of the application environment and training in collaboration and partnership with architects, tech leads and engineers. Leads process improvement activities related to Application Management and training for Epic and related third party applications. The Senior System Analyst Epic encompasses two closely related role focus areas: Application Build and Application Training. While responsibilities are similar, emphasis may vary based on team assignment. Responsibilities And Duties: Both RolesSystem Analysis and Design: Engage stakeholders to gather and refine requirements, map current-state workflows, and design Epic build that aligns with operational goals and policy. Create and maintain specifications, decision logs, and design documents for clear traceability and change control. Conduct gap analyses to identify configuration or workflow changes needed for upgrades, regulatory changes, or new initiatives. Project Management: Manage smaller projects related to system implementations and upgrades. Strong knowledge with various project management approaches, e.g. waterfall, agile. Ability to lead project teams in project methodology. Training and Documentation: Create and maintain comprehensive documentation for system configurations and processes. Mentor junior analysts and provide guidance on best practices. Application Build RoleApplication Build, Configuration, and Deployment: Configure records, master files, and tools (e.g., profiles, rules, security classes, workflows) aligned to approved design. Maintain environment parity and adhere to change management and build naming conventions. Develop and execute unit, integrated, and UAT test plans; log and resolve defects; document test evidence. Validate interfaces, printing, reporting, and downstream workflows; confirm regression coverage in upgrades. Coordinate release management, environment moves, and downtime procedures for upgrades and patches. Provide go-live and post-live hypercare, including rounding, office hours, tip sheets, and at-the-elbow support. Manage service requests and incidents ina timely manner; meet SLAs through robust triage and root-cause analysis. Provide advanced support for (Epic, Workday, Kronos,) and other applications. Collaborate with IT and clinical teams to integrate across IT portfolio with other IT systems (e.g., Epic, 3rd Party Imaging Applications, AI, etc.). Integration and Data Management: Collaborate with interface teams on HL7, FHIR, PDFs, CCD/CCDA, and other exchange workflows. Partner with analytics teams on Clarity/Caboodle extracts, registries, and operational reporting needs. Ensure data integrity and metric definitions are consistent across modules and stakeholders. Compliance & Risk: Support regulatory readiness (e.g., CMS, Joint Commission), audit needs, and policy alignment. Embed privacy/security controls, including sensitive record handling and audit trails. Contribute to ITIL-aligned incident, problem, change, and configuration management processes. Application Training RoleCurriculum Management: Design and implement customized training programs aligned with organizational strategy and operational goals Oversee maintenance, enhancement, and governance of the CareConnect curriculum Ensure curriculum accuracy, consistency, and alignment with organizational priorities Incorporate learner and stakeholder feedback into ongoing curriculum improvements Oversee the build, maintenance, and readiness of training environments Ensure clear and timely communication related to system releases and upgrades Request/Incident Management: Manage end user training related requests and incidents with professionalism and efficiency Evaluate, prioritize, assign, and resolve requests within established service expectations Document incidents and resolutions to support a comprehensive knowledge base Collaborate with IT and operational partners to identify trends and implement preventative improvements Refine support processes to enhance service quality and user experience Minimum Qualifications: Bachelor's Degree Additional Job Description: degree in computer science, Information Technology, Healthcare Administration, or a related field. Minimum of 5-7 years of experience in system analysis and support within a healthcare environment. In lieu of degree, 10+ years of experience in system analysis and support within a healthcare environment. SPECIALIZED KNOWLEDGE Required for Both Roles: Experience with Epic application(s) and healthcare workflows (clinical, revenue cycle or IT experience). Strong requirements gathering, workflow design, and testing skills. Familiarity with ITIL, change control, SDLC practices, system governance, and waterfall/agile project methodologies. Ability to communicate with clinical, operational stakeholders, and managed service providers and produce clear documentation. Proven track record of managing complex projects and leading cross-functional teams. Requirements for Application Training role: Epic Training Environment Build certified and 3+ years of experience 2 Epic Application Principal Trainer certifications Preferred for Application Build role: Current Epic Certification or Proficiency in one or more relevant module(s) (e.g., HB, PB, Cadence, Referrals, Orders, ClinDoc, Clarity). 3+ years of build Epic build and configuration experience Previous experience in a leadership or supervisory role. Experience with system integration, HL7, FHIR, and interface testing. Exposure to SQL/Clarity, Caboodle, SlicerDicer, or reporting tools (e.g., Radar, Reporting Workbench). Prior work in patient access, billing, coding, finance, or clinical operations (for respective modules). DESIRED ATTRIBUTES ITIL Foundation certification desired not required. Certifications in one or more Epic applications Experience in a large healthcare system or hospital setting. Experience with other healthcare applications and systems. Knowledge of healthcare regulations and compliance standards. Familiarity with cloud computing platforms (e.g., AWS, Azure). Experience with business intelligence and analytics tools. Advanced degree (Master's or higher) in a related field is a plus. Work Shift: Day Scheduled Weekly Hours : 40 Department IT Revenue Cycle Join us! if your passion is to work in a caring environment if you believe that learning is a life-long process if you strive for excellence and want to be among the best in the healthcare industry Equal Employment Opportunity OhioHealth is an equal opportunity employer and fully supports and maintains compliance with all state, federal, and local regulations. OhioHealth does not discriminate against associates or applicants because of race, color, genetic information, religion, sex, sexual orientation, gender identity or expression, age, ancestry, national origin, veteran status, military status, pregnancy, disability, marital status, familial status, or other characteristics protected by law. Equal employment is extended to all person in all aspects of the associate-employer relationship including recruitment, hiring, training, promotion, transfer, compensation, discipline, reduction in staff, termination, assignment of benefits, and any other term or condition of employment Remote Work Disclaimer: Positions marked as remote are only eligible for work from Ohio.

Job Description Job Description Company Summary EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Our DISH Technology team challenges the status quo and reimagines capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play vital roles in connecting consumers with the products and platforms of tomorrow. Job Duties and Responsibilities The Principal Roku BrightScript Engineer joins the Client Platform Engineering team to build and maintain the foundational Roku platform powering streaming applications across a shared codebase strategy. This role addresses complex engineering challenges across SceneGraph architecture, media playback, DRM flows, and performance optimization on resource-constrained hardware. The position bridges reference implementations with production BrightScript code while establishing automated quality gates and AI-assisted software development workflows. Direct collaboration with product and engineering leadership ensures high-performance delivery across all target hardware tiers. What Success Looks Like (Objectives) Map production OTT modules to BrightScript equivalents while mitigating high-complexity risks in player state machines and DRM integration Design a scalable scene stack, deep-linking routing architecture, and thread-safe task model for high-performance application execution Enforce component library performance standards, field observer practices, and focus chain integrity across dynamic application themes Integrate BrightScript-specific linting, static analysis, and device farm benchmarking into the AI-assisted development pipeline to optimize target hardware performance Establish automated testing frameworks, deep-link automation, and headless performance benchmarks to maintain strict launch time and memory footprint targets Skills, Experience and RequirementsCore Skills and Competencies (What you'll bring) Expert-level mastery of SceneGraph node architecture, task threading, focus chain management, and component lifecycle optimization Critical experience leading architecture design, code reviews, and binding engineering decisions for multi-engineer client applications Proven ability to translate reference implementations into production BrightScript codebases while preserving behavioral fidelity across complex user flows Demonstrated capability in profiling, virtualized rendering, node recycling, and garbage collection tuning on low-memory hardware devices AI application expertise in authoring structured technical specifications and validating AI-generated BrightScript output for architectural and performance compliance Comprehensive expertise in DRM integration, CSAI/SSAI ad architecture, and third-party SDK implementations within connected TV environments Additional Qualifications Advanced degree (MS or equivalent) in Computer Science or a relevant technical field Experience in high-volume streaming media, OTT, or connected TV product environments Minimum Requirements Minimum Education: Bachelor's Degree in Computer Science, Software Engineering, or a related technical discipline Minimum Experience: 10+ years of professional software engineering experience Required Technical Skills: Must have at least 5 years of experience with: BrightScript application development and SceneGraph node architecture Shipping production Roku applications through full Roku Channel Certification Architecture ownership and technical sign-off on multi-engineer client applications Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

Job Description Job Description About Arable At Arable, our goal is to connect the world's farms to help optimize the global food system. As we work to feed a growing population while reducing our impact on natural resources, we believe a critical part of the solution is digitizing the analog world with high-fidelity data that helps food producers optimize their operations. Our work helps improve the lives of farmers and contributes to securing the global food supply for decades to come. Examples of Our Work: Helping farmers maximize ROI through precision irrigation and data-driven water management. Supporting leading agricultural and technology partners in meeting sustainability and climate resilience goals. Equipping growers with insights to improve decision-making, reduce waste, and enhance yields across diverse cropping systems. The Role We are seeking an experienced, hands-on hardware engineer to drive the development of our hardware ecosystem, including the Arable Mark 3 and future sensing platforms. This role centers on individual technical contribution and ownership across the hardware product lifecycle-from design and prototyping through production and field performance. You will work directly on engineering challenges while providing technical leadership, mentoring colleagues, and collaborating closely with internal teams and external partners. This is an opportunity for an engineer who enjoys staying close to the work while helping shape the technical direction of sensing products used by growers around the world. What You Will Do Drive hardware development across the full product lifecycle, from concept to production. Coordinate domestic and offshore manufacturing operations. Review and validate ODM designs to meet Arable's quality standards. Develop technical documentation for designs, testing, and support. Lead hands-on prototyping of new hardware products and features. Work with QA teams on product validation and testing. Collaborate with product management, software, operations, and customer success. Manage key vendor relationships and guide component selection. Troubleshoot hardware issues and coordinate bug tracking and resolution. Support manufacturing test fixtures and processes. Provide technical leadership and mentorship, influence technology direction, and strengthen the team's engineering capabilities. Experience and Skills Required Bachelor's degree in Electrical Engineering, Mechanical Engineering, Physics, or a related field. 6+ years of hardware engineering experience spanning the full PCB design lifecycle. Proficiency with schematic capture, PCB layout, board bring-up, and lab equipment. Knowledge of regulatory testing, including FCC and CE, and new product introduction (NPI) processes. Strong analytical and problem-solving abilities. A self-directed approach and the ability to work effectively in a fast-paced environment. Excellent communication and organizational skills. Preferred Advanced technical degree. 8+ years of experience bringing multiple hardware products to mass production. Experience managing or collaborating with offshore teams. Knowledge of C programming for embedded systems. Experience with wireless product design (WiFi, BLE, cellular) and/or RTOS. Background in agricultural or environmental sensor technology. Experience leading engineering initiatives, developing processes, or mentoring engineers. Expertise in low-power system design, particularly for solar-powered and battery-powered devices. Qualities for Success Passion for Sustainability: Care deeply about global food systems and environmental impact. Startup Mindset: Thrive in a fast-paced environment and take ownership across multiple responsibilities. Technical Leadership: Lead through engineering expertise, sound judgment, and ownership of results. Cross-Functional Collaboration: Communicate effectively and build productive relationships across teams. Resourcefulness: Develop cost-effective solutions and troubleshoot real-world field challenges. Adaptability: Stay current with emerging technologies and navigate new challenges. Mentorship: Share knowledge and help elevate the work of colleagues and partners. What We Offer At Arable, you will join dedicated team players who bring together diverse expertise and a passion for building a more sustainable future. You'll find no shortage of lively conversation around the lunch table about the food we eat and how it is produced. We are a fast-moving startup committed to providing a rewarding employee experience through our work, team, compensation, and benefits, including: Excellent medical, dental, vision, life, and disability benefits, and a 401(k) program. Opportunities to work closely with customers who are eager for our products and make a positive impact on their livelihoods and the world. A focus on community involvement and career development. We are an equal-opportunity employer and value diversity at our company. We are committed to creating an inclusive environment for all employees. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: The Special Projects team at Shield AI is an elite force within the office of the CTO. It consists of a group of very senior (L5-L8) and highly experienced software engineering experts from diverse fields (aerospace, robotics, cloud infrastructure, game development, interactive media design, ). The charter of this group is to steer technology development towards strategic alignment with the CTO's vision, through tactical insertion into teams and technologies across the organization. Individuals within this team make direct and at times forward-sprinting contributions to all three pillars of Hivemind, Shield AI's software ecosystem for developing and deploying resilient intelligent teaming for aircrafts. Hivemind consists of four products: EdgeOS (C++ based high-performance middleware for autonomy development), Pilot (autonomy for the edge built atop EdgeOS; a models-based, modular and open architecture C++ codebase), Forge (Shield AI's AI Factory for the design, development, and testing of Hivemind Edge systems; a service-oriented architecture leveraged through an SDK, CLI, and web portal; a Go, Python, Typescript codebase), Commander (Software and hardware to support rich human-in-the-loop and human-on-the-loop interactions with the Hivemind; a C++-based back-end for interaction with Pilot; and a web-application UI for mission planning, command and control by operators implemented in a Typescript/React codebase). The Special Projects team is chartered to operate effectively within ambiguity. While this team does not own any software products, it tactically and strategically impacts the development of all foundational Hivemind products and leverages those technologies to rapidly deliver low-TRL solutions. This work happens shoulder-to-shoulder with the product teams in some cases, and in a forward-sprinting manner within the Special Projects team in other cases. The result is direct contribution to products in the former case, and development of reference implementations in the latter. The Special Projects team also functions as a pipeline for product and solution engineering teams across the organization. Individuals who enter the Special Projects team rapidly gain depth and breadth in their understanding of the Hivemind software ecosystem. This positions them well for leading technology development effort across the product and solution organization. What you'll do: Design and build the user experience for agentic AI products across the office of the CTO: an enterprise knowledge assistant (Brain), an agent-driven engineering platform (Springboard), and enterprise AI/data applications. Prototype in code. Ship working React/TypeScript implementations, not mockups - then land them in production with the product teams. Design the core interaction patterns of agentic software: streaming responses, citations and provenance, multi-modal input, artifact sharing, and human-in-the-loop review and approval surfaces. Design interfaces for foundation-model based autonomy architectures and model lifecycle tooling: evaluation dashboards, trace inspection, observability, and verification surfaces. Conduct user research across engineers, operators, and executives; define personae and translate findings into design decisions. Investigate competing agentic and enterprise AI products; synthesize findings for engineering and product leadership. Establish reusable design patterns and a component vocabulary for AI applications across the organization. Drive adoption: instrument what you ship, watch real usage, and iterate daily. Required qualifications: 12+ years designing and building production software interfaces, with end-to-end ownership from research through shipped product. Expert-level React/TypeScript; you write production-quality front-end code, not just prototypes. Portfolio of shipped tools or applications demonstrating strong interaction design and visual craft. Hands-on experience designing LLM-powered experiences: streaming, progressive rendering, loading states, context and conversation management. Deep knowledge of client and UI state management, the DOM, browser APIs, WebSockets, and Server-Sent Events. Experience running user research and usability testing, and acting on the results. Strong software hygiene: Git, code review, testing, CI/CD. Fluid intelligence that allows one to operate effectively in ambiguous conditions while finding opportunities to drive technical efforts and force multiply. Experience with Linux, Docker, and a major cloud platform (Azure, GCP, AWS). This role requires travel to a Shield AI location 1-3 times per quarter Preferred qualifications: Experience designing developer tools, IDEs, or engineering workflow products. Data visualization experience (D3, WebGL, dashboards); geospatial a plus. Experience building or maintaining a design system. Experience designing debugging/inspection UIs for generative AI systems. Experience with Electron (or similar). Experience with user experience design for video games or interactive media. Experience designing for "low code" or "no code" systems. Comfort reading C++ and/or Python and/or Go. Senior staff: $190,000-$290,000 Principal: $230,000-$340,000 Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This job is with Allianz Commercial, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are looking for an experienced Principal Data Engineer to work hands-on on the re-engineering of an existing enterprise data platform built on Azure Synapse Analytics. The role requires strong technical depth to audit, understand, and validate a complex end-to-end data architecture spanning source ingestion through to consumption - and to help deliver the migration of validated workloads to Databricks. This is hands on role and demands the ability to reverse-engineer existing implementations, assess their correctness, and build to an agreed migration strategy. Key Responsibilities Contribute to the technical assessment and re-engineering of an existing enterprise data platform, spanning all layers from source ingestion through to data consumption Reverse-engineer, document, and validate existing pipeline logic, data models, transformation frameworks, and data governance controls Identify gaps, defects, and technical debt across the platform and remediate where implementations are incorrect or sub-optimal Ensure correctness of data processing patterns including change data capture, slowly changing dimensions, deduplication, and business reconciliation Implement target-state designs aligned to modern lakehouse principles, ensuring feature parity and business logic fidelity during transitions Support platform evolution initiatives, including parallel-run phases where multiple implementations operate simultaneously, validating output consistency before cutover Execute migration of existing workloads to modern data platforms, preserving existing governance and control framework semantics Re-implement ingestion, transformation, and orchestration pipelines on target platforms, maintaining audit, quality, and reconciliation standards Collaborate with business, data governance, and architecture stakeholders to validate embedded business rules and data quality requirements Mentor less experienced engineers, review code and designs, and support decommission planning for legacy components Core Technical Skills Azure Synapse & Data Platform Mandatory hands-on expertise with: Azure Synapse Analytics (Pipelines, Spark Pool, Dedicated SQL Pool) Azure Data Lake Storage Gen2 (ADLS Gen2) Delta Lake on Azure (Synapse Lakehouse patterns) Oracle Golden Gate Replication for real-time source integration Azure Analysis Services and Power BI consumption layer patterns Deep understanding of medallion architecture: Raw / Harmonized / Conformed / Consumption layers Strong knowledge of SCD Type 0/1/2, CDC patterns, soft/hard delete, and retroactive change processing Experience with Synapse SQL Pool - stored procedures, control tables, and data quality validation patterns Experience with audit, balance, and control frameworks - parameterized, modular pipeline governance at enterprise scale Familiarity with config-driven and automation-first pipeline patterns (YAML, PySpark, SQL-driven generation from mapping documents) Databricks & Lakehouse Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) Strong Apache Spark skills (PySpark / Spark SQL) Experience migrating workloads from legacy data warehouse or Synapse environments to a Databricks Lakehouse Ability to re-implement governance and control frameworks natively in Databricks (audit logging, reconciliation, DQ checks) Experience with Delta Lake features: MERGE, CDC, time travel, schema enforcement Data Engineering & Development Strong Python and SQL programming skills Experience with ETL/ELT at scale: denormalization, surrogate keys, directory tables, curated data models Experience integrating complex data sources: Oracle DB, SQL Server, Azure SQL DB, file systems, Salesforce, APIs Strong data modelling skills: relational, dimensional, and lakehouse-oriented DevOps & Automation CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) Infrastructure as Code (Terraform or ARM) Containerization (Docker) Experience with automated testing frameworks for data pipelines (unit testing, reconciliation-based validation) Nice to Have Experience with Unity Catalog for data governance and lineage Familiarity with Azure Purview for data cataloguing and governance Exposure to real-time and streaming pipelines (Event Hub / Kafka / Kinesis) Experience with GenAI or ML platform integration (MLOps, feature engineering pipelines) Familiarity with monitoring and observability tools (e.g., Dynatrace) Exposure to BI tools (Power BI, Tableau) Experience & Profile 7+ years of hands-on experience in Data Engineering, including platform migration or re-engineering work Proven track record working on existing, complex enterprise data platforms - not just building from scratch Deep knowledge of enterprise data governance patterns: audit trails, reconciliation, data quality controls, SCD versioning Strong analytical mindset: ability to read existing implementations, identify intent versus defect, and make sound re-engineering decisions Primarily hands-on, while comfortable contributing to technical design discussions Strong communication skills - able to engage business, governance, and engineering stakeholders with clarity Experience working in regulated or enterprise-scale environments (financial services a plus) What we offer We offer a hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working We believe in rewarding performance and our compensation and benefits package includes health insurance, company bonus scheme, 401(K) with company match, company paid holidays, paid time off, paid volunteer days, tuition reimbursement, paid parental leave, an employee shares program and employee discounts From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. The annualized base pay range for this role is $110,000 - 150,000. The annual base salary range represents a nationwide market range. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role, and the skills, education, training, credentials and experience of the candidate. The base pay is just one component of the ATA total compensation package. As part of our comprehensive compensation and highly rated benefits programs, ATA also offers eligibility for an incentive-based annual bonus. About Allianz Technology Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer. We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions. Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future - for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. Join us. Let's care for tomorrow. You.IT

Job Description Job Description Benefits: 401(k) Employee discounts Opportunity for advancement Benefits/Perks Flexible Work Environment Competitive Compensation Career Advancement Opportunities Job Summary We are currently seeking an experienced Security Architect/AI Security AppSec to join our team! As a Security Architect, you will focus on assisting with the strategic evaluation and secure implementiation of our AI Agent Framework. As AI adoption accelerates across our investment and research teams, this role will be pivotal in ensuring our systems remain secur, resilient, and compliant, You will combine high-level architectural oversight specifically evaluating new and emerging AI Technologies with hands on engineering. Reporting to the Director of Security in Global Security organization, you will research security controls, validate emerging architectural patterns and define the governance standards for M365 Copilot Agents and autonomus agents built on Azure AI Foundary . Responsibilities Proactively evaluate new AI tools, frameworks, and LLM providers to assess their security posture and suitability for a highly regulated investment environement Design and validate secure architectural patters for AI agent integration within the organization's ecosystemm ensuring data privacy and IP protection Conduct deep-dive analysis of AI specific threats (prompt injection, model inversion, data poisoning) and architect systemic mitigations Evaluate the security capabilities of Azure AI Foundary, M365 Copilot Studio, and the Microsoft Graph API against the organization's compliance standards Assess Model Context Protocol (MCP) security best practices, designing isolationstrategies for context managment As a Security architect, assist with evaluations of other technologies being evaluated with our Enterprise Architecture Review Board 5+ years in Cloud Security/Architecture with deep hands-on Azure platform experience. Hands-on experience with Azure AI Services, Azure OpenAI, Azure AI Foundary (or similar platforms like AWS SageMaker) Expert-level understanding of Microsoft Entra ID, Service Principals, and Managed Identity in a complex enterprise environment Deep familiarity with Model Context Protocol (MCP) and its implecations for data isolation and session security Strong grasp of RAG (Retrieal-Augmented Generation) pattersand vector database security. Zero Trust: Proven track record of implementing Zero Trust in financial services or cloud-native environments Experience with Infrastructure as Code (Terraform, Bicep) to codify security guardrails Familiarity with the OWASP Top 10 for LLMs and AI-specific vulnerability scanning. Qualifications Certifications: Azure Security Engineer Associate, Azure AI Engineer Associate, or CISSP/CCSP

Job Description Job Description K2 is building the largest and highest-power satellites ever flown, unlocking performance levels previously out of reach across every orbit. Backed by over $1 billion in total funding from leading investors including Altimeter Capital, ICONIQ, Kleiner Perkins, Lightspeed Venture Partners, Redpoint Ventures, and T. Rowe Price - and with over $1 billion in signed contracts across commercial and US government customers, we're mass-producing the highest-power satellite platforms ever built for missions from LEO to deep space. The rise of heavy-lift launch vehicles is shifting the industry from an era of mass constraint to one of mass abundance, and we believe this new era demands a fundamentally different class of spacecraft. Engineered to survive the harshest radiation environments and to fully capitalize on today's and tomorrow's massive rockets, K2 satellites deliver unmatched capability at constellation scale and across multiple orbits. With multiple launches in 2027 and plans to scale to 100 satellites a year, we're Building Bigger - helping develop the solar system and build toward a Kardashev Type II (K2) civilization. If you are a motivated individual who thrives in a fast-paced environment and you're excited about contributing to the success of a high-growth Series D-funded company, we'd love for you to apply. The Role As K2's Principal Crypto Engineer, reporting to the VP of Satellite Engineering & Operations, you will own the technical architecture and design of our Type-1 cryptographic integrations across the spacecraft, payload, and ground segment. You'll lead these designs from concept and trade studies through implementation, integration, and test. You'll define how K2's satellites protect command, telemetry, and mission data at the hardware and software level, and build it to fit a high-volume satellite production line. You'll work hand-in-hand with our COMSEC Certification Lead on the National Security team, who owns the path to NSA approval. This is a foundational role: you'll set the cryptographic design standards the rest of the program builds against. Responsibilities Own the end-to-end technical architecture of Type-1 cryptographic integrations across the spacecraft, payload, and ground segment Lead crypto designs from concept and trade studies through implementation, integration, and test Design encryption, key management, and key loading implementations for command, telemetry, and mission data Integrate cryptographic functions into flight software, avionics, FPGA, RF, and ground systems in partnership with those teams Define hardware and software interfaces between crypto equipment and the broader system architecture Produce the design documentation and test evidence needed to support certification, working closely with K2's COMSEC Certification lead Identify and mitigate cryptographic design risks across hardware, software, and RF boundaries Establish reusable cryptographic designs, interfaces, and standards that scale across K2's production line Support anomaly resolution and troubleshooting for fielded and on-orbit crypto systems Qualifications Bachelor's degree or higher in electrical engineering, computer engineering, computer science, or a related discipline 5+ years of engineering experience designing or integrating cryptographic systems or secure communications Hands-on experience integrating NSA Type-1 cryptographic equipment into a hardware or software system Working knowledge of key management and key loading implementations Strong systems-level thinking, with the ability to reason from first principles across hardware, software, and RF boundaries Ability to work in a fast-paced, autonomously driven, and demanding startup atmosphere with competing priorities and aggressive schedules Nice to Have Experience with spacecraft, satellite, or other space-system cryptographic integrations Experience with embedded systems, FPGA design, or flight software Familiarity with cryptographic modernization initiatives and current NSA-approved algorithms and equipment Background in RF, link design, or secure command and telemetry systems Exposure to NSA certification processes Additional Requirements Ability to travel up to 15% of the time Active Top Secret or Top Secret SCI clearance required; ability to obtain and maintain access to additional programs as needed Ability to work irregular business hours to support critical project timelines or operations Compensation and Benefits Base salary range for this role is $160,000 - $245,000 + equity in the company Salary will be based on several factors including, but not limited to: knowledge and skills, education, and experience level Comprehensive benefits package including paid time off, medical/dental/vision coverage, life insurance, paid parental leave, and many other perks If you don't meet 100% of the preferred skills and experience, we encourage you to still apply! Building a spacecraft unlike any other requires a team unlike any other and non-traditional career twists and turns are encouraged! If you need a reasonable accommodation as part of your application for employment or interviews with us, please let us know. Export Compliance As defined in the ITAR, "U.S. Persons" include U.S. citizens, lawful permanent residents (i.e., Green Card holders), and certain protected individuals (e.g., refugees/asylees, American Samoans). Please consult with a knowledgeable advisor if you are unsure whether you are a "U.S. Person." The person hired for this role will have access to information and items controlled by U.S. export control regulations, including the export control regulations outlined in the International Traffic in Arms Regulation (ITAR). The person hired for this role must therefore either be a "U.S. person" as defined by 22 C.F.R. 120.15 or otherwise eligible for a federally issued export control license. Equal Opportunity K2 Space is an Equal Opportunity Employer; employment with K2 Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Job Description Job Description Job Description Renesas Electronics, a leading global semiconductor company, is rapidly scaling its AI-focused power delivery business. Products include high-performance digital power VRMs, multiphase controllers, Smart Power Stages (SPS), Vertical Power Stages (SPS with integrated capacitors and multiple silicon die), Power Towers (power modules integrating multiple SPS-equivalents with capacitors and inductors), and power MOSFETs. Renesas is seeking a Mixed-Signal SOC Engineer for our Infrastructure Power team in Austin, TX. Reporting to the Design Engineering Manager, you will own the design, verification, test, and validation of power management IC's that supply power to the world's largest and most advanced computing platforms. Your responsibilities encompass the full design cycle which spans product definition through IC volume production and sustaining product support. Responsibilities Own the design, verification, test, and validation of assigned power management subsystems through production and sustaining support Lead cross-functional collaboration with firmware, test, product, and customer engineering teams to define requirements, solve problems, and drive technical decisions Perform root cause analysis on customer returns and field issues to ensure long-term product excellence Contribute to system-level architecture and design reviews, bringing perspective from your core discipline while engaging across all functional areas Mentor junior engineers and support technical growth across the team Drive continuous improvement in design methodologies, verification strategies, and validation approaches Qualifications MSEE or equivalent 7+ years in Mixed-Signal SOC products, with proven tapeout-to-production experience Deep expertise in one of the core functional disciplines and familiarity with other Analog & mixed-signal design (compensation, feedback networks, power conversion) or RTL & digital design (control firmware, telemetry, algorithms) or Design verification (simulation, formal methods, DV methodology) or System-level design/architecture Demonstrated ability to rapidly acquire new technical skills across multiple disciplines (analog, digital, firmware, design verification, test); comfort working outside areas of expertise Ability to understand and reason about complex systems - feedback loops, platform interactions, multi-domain dependencies Automated bench testing & silicon/system validation Broad exposure across test, product, firmware, behavioral modeling of analog and mixed-signal circuits Use of tracking systems for development milestones, tasks, and bug resolution Experience collaborating with customers, marketing, applications, test, and product engineers throughout the product lifecycle Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier . With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future. At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives. We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process. Are you ready to join our team and shape the future with us? Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement. Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.