Data Center Ssd Performance Validation Engineer in United States

Job Details: Job Description: The Role and Impact As a Sales Operations Global Process Owner, you will play a pivotal role in driving the success of Intel's projects and programs by providing analytical expertise and process management support. Your day-to-day responsibilities will include conducting quantitative and qualitative analysis, tracking progress, monitoring objectives, and developing project management infrastructure to ensure seamless execution. By leveraging advanced data visualization techniques, you will transform insights into actionable strategies that help teams meet their goals efficiently and effectively. Business group This role is part of Intel's broader business operations and program management domain, which focuses on enabling cross-functional teams to execute projects that advance strategic objectives and deliver measurable impact. The team works collaboratively across business units, leveraging innovative methodologies to enhance decision-making and optimize program performance, contributing to Intel's leadership in the industry. Key Responsibilities Conduct quantitative and qualitative analyses to support the execution of project/program objectives. Assess resource utilization, track project progress, and monitor objectives and key results (OKRs) to ensure alignment with strategic goals. Identify performance gaps, manage risks, and ensure compliance with organizational processes and guidelines. Develop and maintain project/program management infrastructure, including issue tracking, reporting, dashboard monitoring, and project plan builds. Create advanced visualizations and reports to communicate data-driven insights to stakeholders for optimal decision-making. Collaborate with project/pro

Yext (NYSE: YEXT) is the enterprise agentic marketing platform. Built on the world's most comprehensive structured data platform for local businesses, Yext gives brands and their partners the visibility intelligence to win every moment of discovery – across AI and traditional search. Yext's API-first architecture connects structured data to APIs, MCP servers, and generative interfaces, so partners and developers can build purpose-built experiences on the same infrastructure powering Yext's own products. Thousands of brands and digital marketing partners in financial services, healthcare, retail, hospitality, and food rely on Yext to manage, measure, and optimize visibility at scale. For more information, visit yext.com . At Yext, Product Engineering builds and evolves the technology behind our products and services. We’re looking for software engineers who want to solve meaningful technical problems, contribute to systems at scale, and help shape what we build next. We work in an agile environment with two-week sprints and regular demos that keep teams aligned and give engineers clear visibility into the impact of their work. From day one, you’ll contribute directly to the codebase and collaborate with experienced engineers from a wide range of leading universities and technology companies. We are looking for an engineer to join Team Watson , which owns and develops the systems that power Yext Search and Yext Chat. The team builds the indexing, retrieval, and serving technology that enables brands to deliver fast, relevant answers across their websites and digital experiences. Yext Search handles more than 50 million requests each month, serving users around the world in over a dozen languages. Watson also brings these search and retrieval capabilities to Yext Chat, helping conversational experiences generate useful answers grounded in trusted customer content. Because Watson’s systems serve real-time, customer-facing experiences at a global scale, engineers o

Who We Are Every organization runs on intelligence: years of accumulated knowledge, decisions, and context. As AI takes on more of that work, companies face a choice: rent that intelligence from vendors who keep the data, the context, and the results, or own it. OpenTeams exists to make ownership possible. Founded by Travis Oliphant, creator of NumPy and SciPy, and built by people with deep roots across the open-source ecosystem, including NumPy, SciPy, PyTorch, and Jupyter, we help enterprises and governments build AI they control, govern, and evolve themselves. If that sounds like your kind of work, we'd like to meet you. Senior Infrastructure Engineer - AI/ML Platform Location: U.S - Remote Work Authorization: U.S. citizenship required Clearance: An active clearance is not required at the time of hire. Candidates must be able to obtain and maintain a Secret security clearance, which includes a federal background investigation. Salary Range: $85,000 - $120,000 USD, dependent on experience level and location About the Role We're looking for a Systems Engineer to join our platform support team. This is a role for someone early in their infrastructure career who wants real ownership of production systems and is willing to earn it by being the person others can count on. The work runs across two streams. Internal Platforms covers the systems OpenTeams itself runs on — identity, cloud, internal applications, our website. You own that surface end to end, which means you're the first responder when something breaks and the one who fixes the underlying cause so it stops happening. Project Support means backing up our infrastructure engineers on the platforms we build and operate for customers, including government programs. Both streams start at the front line. That's the entry point, not the destination - as you build real context, the scope grows toward environment builds, deployment configuration, and eventually owning pieces of a platform outright. The two sides

We are seeking a detail-oriented PCB Layout Engineer to maintain electronic component libraries and develop printed circuit board layouts. This role works closely with electrical engineering, mechanical engineering, procurement, and NPI to ensure component data and PCB designs are accurate, consistent, and ready for production. This position is in Austin, Texas. Key Responsibilities Create, verify, and maintain schematic symbols, PCB footprints, and associated 3D models. Validate component pin assignments, dimensions, land patterns, and library attributes against manufacturer documentation. Maintain library naming conventions, revision control, and component approval processes. Develop PCB layouts from approved schematics, including component placement, routing, stackup coordination, and design rule setup. Collaborate with engineers to address electrical, mechanical, thermal, and manufacturing requirements. Run design rule checks, resolve layout issues, and participate in design reviews. Prepare fabrication and assembly deliverables, including Gerber or ODB++ files, drill files, drawings, and pick-and-place data. Coordinate with PCB fabricators and assembly suppliers to resolve manufacturing questions. Support engineering changes and maintain accurate release documentation. Work with procurement and engineering to identify obsolete components and evaluate suitable alternatives. Required Qualifications Experience with setting up PCB design and electronic component library management. Proficiency in Cadence Allegro/OrCAD. Ability to interpret schematics, component datasheets, and mechanical drawings. Working knowledge of PCB fabrication, assembly processes, and design for manufacturability. Familiarity with relevant IPC standards for PCB design and component land patterns. Strong attention to detail, documentation skills, and ability to manage competing priorities. Experience with multilayer, high-density, mixed-signal, and high-speed PCB designs. Familiarity w

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About our Team: Micron’s Industrial and Physical AI team is driving the transformation of semiconductor manufacturing through Autonomous Operations, AI, robotics, and digital twin technologies! We develop and deploy innovative solutions across Micron’s global fabrication and assembly/test facilities, enabling smarter, safer, and more efficient operations at scale. Position Overview: We are seeking a hands-on Full-Stack AI Engineer to design, build, and deploy production-grade AI applications that support Micron's Autonomous Operations initiatives. This role owns the end-to-end development lifecycle, from data pipelines and AI models to APIs, web applications, digital twin integrations, and cloud/edge deployments, delivering impactful solutions for engineers, operators, and business leaders worldwide. Responsibilities: Design, architect, and deliver end-to-end AI products, including data ingestion pipelines, feature engineering, model training/inference, APIs, user interfaces, and application monitoring. Build and maintain modern front-end applications using React, Angular, or Streamlit, supported by backend services in Python and FastAPI. Develop scalable integrations between manufacturing systems, robotics platforms, AMRs, sensor networks, and enterprise applications to enable intelligent factory operations. Design and implement digital twin environments using platforms such as NVIDIA Omniverse, Gazebo, or Unity Robotics Hub to support simulation, validation, and o

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Job Description Join our Revenue Operations team and help shape how we balance customer demand, supply availability, and revenue priorities across the business! As a Supply Demand Analyst, you will collaborate with Sales, Supply Chain, Demand Management, Operations, and Business Unit partners to transform complex data into actionable insights. You will analyze demand and supply signals, identify risks and opportunities, support planning decisions, and drive continuous improvements through analytics, automation, and AI-supported workflows. Your work will have a meaningful impact on planning accuracy, customer commitments, and business performance. Responsibilities Analyze demand, backlog, forecasts, supply availability, and customer support signals to identify risks, opportunities, and planning gaps. Collaborate with Sales, Business Units, Supply Chain Planning, Demand Management, Operations, and Finance partners to align demand and supply assumptions and improve planning accuracy. Evaluate supply constraints, allocation requirements, demand changes, and plan feasibility to support consensus planning and customer commitments. Develop recommendations such as allocation, build-ahead, pull-in, and supply optimization actions to improve execution and revenue outcomes. Utilize RapidResponse, Snowflake, Power BI, Excel, and AI-assisted analytics tools to perform scenario analysis, reporting, process improvements, and automation initiatives. Minimum Qualifications Bachel

Partner Business Manager (PBM) Power Elite Description - The Partner Business Manager (PBM) is responsible for managing relationships with Tier-2 resellers, staying updated on market insights, and driving business growth through data-driven insights. This role focuses on ensuring strong strategic relationships, achieving business objectives, and promoting HP offerings. PBM will drive business growth through the Amplify program and GBU initiatives, strong partner engagement with HP, strategic relationship between reseller and HP towards becoming OEM of choice, increase HP Share of Wallet with partners. Key Responsibilities Coordinate peer-to-peer engagement between partner teams and HP end-user sales organizations to expand the customer funnel, accelerate pipeline growth, and drive revenue growth through partner-led selling motions. Represent HP at partner-led events and sales engagements, educating, inspiring, and enabling partner sellers to effectively articulate and champion HP’s Future of Work strategy. Manage relationships with assigned Commercial Tier-2 resellers. Stay updated with market and industry insights, expertly align HP business objectives with partner capabilities, identify market trends, and turn them into actionable business opportunities. Consult partners on growth and transformation strategies, collaborate with partner and HP sales teams, generate data-driven insights, and create joint business plans to promote sales growth. Enable and develop partners' understanding of actions they need to grow their business in strategic alignment with HP. Lead the orchestration of HP’s ecosystem as the "point-guard"—driving strategic relationships, engaging in partners' co-selling efforts, resolving challenges, shifting pa

Given heightened expectations from regulators and a goal to build a strong and consistent global control environment, Citi continues to enhance its business governance framework and has created the Enterprise Data group. Enterprise Data is a critical component of Citi’s first line of defense for wholesale and counterparty credit risk management and works with Independent Risk teams to ensure best-in-class risk and controls, as well as client responsiveness. Key responsibilities of the group include credit analysis, documentation, risk identification, exposure monitoring and stress testing. Enterprise Data coordinates with credit management groups across institutional client businesses to ensure full alignment on business and regulatory goals, as well as consistency and best practices. The Counterparty Credit Risk (CCR) project execution team within Enterprise Data is responsible for building tools to: Provide in-depth quantitative or qualitative analysis to solve business problems and develop new, innovative solutions Build tools to help measure, monitor and control counterparty risk for institutional clients and Portfolios and businesses, with a focus on counter-party and collateral risk to ensure the risks are being properly measured and controlled in accordance with the Firm’s risk policies. Responsibilities: As a Product Developer working in CCR project team, individual will be expected to Lead strategic BAU and Regulatory projects primarily impacting Counterparty Credit Risk exposure measures for traded product markets business Develop and enhance tools for the measurement, monitoring and reporting of counterparty exposure including Stress testing - Net Stressed Exposure (NSE), Potential Future Exposure (PFE), Settlement Risk, Intraday risk and participate in project management of strategic risk infrastructure development.</

The AML Risk Management Senior Lead Analyst is a senior level position responsible for establishing internal procedures to prevent money laundering and assist in all matters concerning financial crimes in coordination with the broader AML team. The overall objective is to utilize established disciplinary knowledge to identify inconsistencies in data or result and formulate strategic recommendations on policies, procedures, and practices. Responsibilities: Execute and implement firm-wide AML risk management policy and strategic direction for the Markets Institutional line of business. Maintain AML compliance program for the business including assessment of risks and the development of policies, procedures, and governance, including those pertaining to an institutional broker dealer. Identify and assess risk, vulnerabilities, and opportunities for efficient and effective risk coverage. Work within team and across business/functional line management to assess complex issues, structure potential solutions, and drive effective resolution within permissible statutory and regulatory frameworks. Analyze data, prepare and present regional/global reports related to AML risk assessments. Monitor AML related issues and escalations with senior management and global partners. Evaluate and respond to escalated matters, further escalate as required, and advise senior management on next steps as needed. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Position Overview The AI Platform Engineer builds and operates the machine learning and generative AI platform used by teams across Abbott Cancer Diagnostics. You'll own the full model lifecycle in production — data and feature pipelines, training and experimentation, evaluation and promotion, serving, and monitoring — along with the platform services, compute and tooling underneath it. This is hands-on infrastructure work backed by solid platform engineering practice: making inference fast and cheap, making the path from experiment to production repeatable and auditable, and shipping interfaces other engineers can build on — in support of software that ultimately reaches patients. Essential Duties Include, but are not limited to, the following: Build and maintain data, feature, and training pipelines for ML and LLM workloads — ingestion, transformation, fine-tuning, distributed training, and reproducible experiment execution with lineage tracked from dataset and code to resulting model. Implement automated evaluation and promotion gates — performance benchmarks, regression checks, and validation criteria that determine whether a model advances toward production. Automate the model lifecycle end to end through CI/CD and GitOps: packaging, promotion across environments, progressive rollout, and rollback. Build and operate production model-serving infrastructure for LLMs and predictive models, including inference optimization, autoscaling,

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Job Description Position Overview The Pre-Analytical Laboratory Technician II is responsible for preparing samples for analysis, recording, and/or verifying patient’s information. This role is primarily responsible for performing duties related to accessioning, sample management, problem resolution, data entry, and specimen storage with high degree of proficiency. A successful candidate would be expected to have the ability to swiftly pick up new laboratory process that they are trained in due to experience gained in previous laboratory roles. Potential candidates should be able to demonstrate that they have good documentation practices (GDP) knowledge. Shift: Tuesday - Saturday, 9:00am – 5:30pm Essential Duties Include, but are not limited to, the following: Perform laboratory tasks, as assigned. Clean and organize common lab areas and take responsibil

Become a part of our caring community The Actuarial Analyst 2, Analytics/Forecasting analyzes and forecasts financial data to provide accurate and timely information for strategic and operational decisions. Establishes metrics, provides data analyses, and works directly to support business intelligence. Your work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Actuarial Analyst 2, Analytics/Forecasting will report to the Actuary, Analytics/Forecasting. You will play a key role in the Medicare actuarial forecasting process. This position entails the maintenance of the provider revenue and expense projection model and associated tools supporting the projection model. The Actuarial Analyst 2, will be responsible for integrating value-based provider impacts into financial and bid forecasts, managing tools associated with these impacts, and providing guidance on effective risk modeling practices. The Actuarial Analyst 2, Analytics/Forecasting ensures data integrity by developing and executing necessary processes and controls around the flow of data. You will collaborate with stakeholders to understand business needs/issues, troubleshoots problems, conduct root cause analysis, and develop cost effective resolutions for data anomalies. You will understand department, segment, and organizational strategy and operating objectives, including their linkages to related areas. You will make decisions regarding own work methods, occasionally in ambiguous situations, and require minimal direction and receives guidance where needed. You will follow established guidelines/procedures. Use your skills to make an impact Required Qualifications Bachelor's Degree Successful completion of at least 3 actuarial exams<

Become a part of our caring community Help shape practical, responsible AI solutions that improve healthcare experiences and outcomes. Humana’s Enterprise AI organization develops safe, scalable AI solutions across our Insurance and CenterWell businesses. We bring together product managers, data scientists, engineers, policy experts, and business leaders to apply emerging technology to meaningful healthcare challenges. As Associate Director of Applied AI, you will lead teams that design, build, and deploy enterprise AI solutions, with a focus on generative AI and intelligent agents. You will connect technical strategy to business needs, guide responsible delivery in a regulated environment, and help teams turn promising ideas into measurable outcomes for members, patients, and associates. Key Responsibilities Lead and mentor teams developing production-ready AI solutions that improve healthcare delivery, member experiences, and business operations. Help define and execute the roadmap for applied AI initiatives in alignment with enterprise priorities and business needs. Guide the evaluation and adoption of machine learning, generative AI, large language models, multimodal models, and intelligent agent technologies. Oversee scalable APIs, frameworks, data pipelines, retrieval-augmented generation solutions, and agent orchestration capabilities. Partner with product, data science, engineering, architecture, security, and business teams to translate requirements into reliable solutions. Establish standards for AI evaluation, obse

Become a part of our caring community We are seeking a highly experienced Lead Full Stack Engineer to drive engineering excellence across front-end, back-end, API, and data layers. This role is responsible for setting technical direction, ensuring consistent delivery across teams, and aligning engineering solutions with business priorities. The ideal candidate will be a strong technical leader who thrives in complex environments, drives modernization initiatives, and develops high-performing engineering talent. This role offers the opportunity to shape the future of our engineering landscape, influence enterprise-scale decisions, and lead transformation initiatives that directly impact customer experience and business growth. Location : Louisville, KY or Dallas, TX (Work At Home with occasional office visits) Key Responsibilities Engineering Leadership & Strategy Lead full stack engineering strategy and execution across UI, APIs, and data platforms Define architectural direction and ensure high standards for code quality, scalability, and maintainability Select frameworks, languages, and platforms across front-end, back-end, APIs, and data layers Approve architectural patterns (monolith vs. microservices, cloud strategy, and integrations) Identify opportunities to refactor, modernize, or retire legacy systems Delivery Execution & Prioritization Drive consistent delivery across multiple engineering teams through: Sprint planning and execution Dependency management Risk mitigation Removal of technical and organizational blockers Prioritize feature development, platf

We're building the platform that lets long-running autonomous agents operate safely inside NVIDIA's enterprise. These are not assistants on a developer's laptop. They are fleets of agents deployed in the cloud, running continuously at scale on shared accelerated compute. They take on real work across enterprise systems, so people get far more done than they could before. This role defines the constructs that agents are built from: the blueprints they start from, the tools, skills, and plugins that power them against enterprise data, the runtime safety harness that keeps them in bounds, and the connections into credential management, sandbox, memory, and observability. The team designs and ships these building blocks so that agent developers across the company can stand up a new agent, wire it in, and run it for days or weeks. Security and safe execution come out of the box, not something each team has to get right on its own. Today an agent runs inside a single harness. Claude, Codex, and open-source agent harnesses each work differently underneath, with their own execution model, tool interface, and telemetry shape. The platform smooths over those differences, so a single skill, safety policy, or trace works the same no matter which harness is running. We want to enable agents that act on a person's behalf, governed and secure, continuously evaluated and self-improving. These agents coordinate and hand work off to each other, with identity and policy following every hop. They route and tune themselves across harnesses from live eval signals, and get better from their own production telemetry instead of waiting on a human to retrain them. Have you run agents on a harness like Claude or Codex and hit the walls that show up when they run for real, for days, against live systems — and wanted them to learn from it on their own? We're building the platform that solves those problems once, for every team. What you'll b