Data Solutions And Validation Sr Specialist Jobs

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

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a Security Engineer to join our First-Party Hardware team. In this role, you will own the end-to-end security foundation for OpenAI's first-party AI hardware systems, working across hardware security, embedded security, system security, and practical deployment at data center scale. You will partner with silicon, hardware, firmware, infrastructure, manufacturing, operations, and security teams to define and deliver system-level device trust. This includes boot integrity, device identity, provisioning, attestation, management-plane security, storage encryption, debug controls, firmware update and recovery, RMA, and decommissioning. You will be accountable for turning threat models into requirements, requirements into implementation, and implementation into validation evidence that can support launch decisions. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Own security requirements, threat models, validation strategy, and launch-readiness evidence for first-party hardware platforms from early design through production deployment. Design and review secure boot, measured boot, roots of trust, platform firmware resilience, firmware signing, recovery, and anti-rollback strategies across heterogeneous devices. Own device identity, provisioning, enrollment, attestation, certificate lifecycle, and key-management requirements across manufacturing and data center bring-up. Harden management

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a key contributor within the Drive Qualification Center of Excellence, you will ensure the performance and reliability of Everpure-developed SSDs for hyperscale and enterprise environments. You will partner with firmware and hardware teams to validate mission-critical storage components, transforming complex technical requirements into robust validation frameworks. Your mission is to guarantee that our storage solutions exceed global customer expectations through rigorous system-level testing and data-driven analysis. WHAT YOU’LL DO Design and deliver automated validation suites that stress-test PCIe, NVMe, and OCP compliance, ensuring firmware maturity and hardware robustness for the Everpure Platform. Drive technical root-cause analysis for complex failures across firmware and system layers, utilizing telemetry and logs to resolve performance or data integrity bottlenecks. Own and scale the regression infrastructure , improving test repeatability and coverage to accelerate the qualification cycle for next-generation NAND technologies. Collaborate with cross-functional engineering teams to provide clear risk assessments and quality metrics, directly influencing product readiness and release timelines. Develop custom validation tools and scripts in Python to automate the characterization of drive-level behavior under power-loss, snapshot, and high-volume scenarios. WHAT YOU BRING Deep Technical Expertise: Profi

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE As a key contributor within the Drive Qualification Center of Excellence, you will ensure the performance and reliability of Everpure-developed SSDs for hyperscale and enterprise environments. You will partner with firmware and hardware teams to validate mission-critical storage components, transforming complex technical requirements into robust validation frameworks. Your mission is to guarantee that our storage solutions exceed global customer expectations through rigorous system-level testing and data-driven analysis. WHAT YOU’LL DO Design and deliver automated validation suites that stress-test PCIe, NVMe, and OCP compliance, ensuring firmware maturity and hardware robustness for the Everpure Platform. Drive technical root-cause analysis for complex failures across firmware and system layers, utilizing telemetry and logs to resolve performance or data integrity bottlenecks. Own and scale the regression infrastructure , improving test repeatability and coverage to accelerate the qualification cycle for next-generation NAND technologies. Collaborate with cross-functional engineering teams to provide clear risk assessments and quality metrics, directly influencing product readiness and release timelines. Develop custom validation tools and scripts in Python to automate the characterization of drive-level behavior under power-loss, snapshot, and high-volume scenarios. WHAT YOU BRING Deep Technical Expertise: Profi

NVIDIA is seeking a Senior Staff SRE to build and operate reliable, scalable compute platforms that support global engineering workloads. This role spans Kubernetes, KubeVirt, bare-metal infrastructure, automation, observability, and AI-enabled operations. Join a team that solves complex infrastructure challenges, builds durable automation, and improves the reliability and operational experience of critical compute services. What you’ll be doing: Build, operate, and improve large-scale Kubernetes, KubeVirt, Linux, container, and bare-metal compute platforms, with a focus on performance, capacity, reliability, and operational scale. Lead bare-metal provisioning and lifecycle management in data centers, including PXE boot, DHCP, DNS, OS provisioning, hardware validation, and fleet automation. Develop automation, self-service capabilities, and observability solutions using APIs, Python or Go, Infrastructure as Code, configuration management, metrics, logs, traces, and service-health data. Define and operate SLOs, SLIs, error budgets, alerting, and incident-response practices; lead complex incident investigations, corrective actions, and blameless postmortems. Partner with infrastructure, security, hardware, data-center, and application teams to deliver global platform initiatives, and participate in an on-call rotation. What we need to see: BS in Computer Science, Engineering, a related technical field, or equivalent experience, plus 10&#43; years operating production infrastructure or platform services. Strong expertise in Kubernetes administration, KubeVirt, Docker, containerization, microservices, Linux systems, and resolving distributed-system challenges. <l

Job Details: Job Description: Intel Foundry Automation - Back End Automation Group is seeking a talented student to support our Automation Integrators in advancing manufacturing automation systems. Key Responsibilities: • Assist Automation Integrators with troubleshooting, system upgrades, user training, and root cause analysis to improve efficiency and reduce waste. • Enable Automation Integrators in designing, developing, testing, and debugging software for factory operations, wafer processing, and packaging across multiple software layers. • Support client-based Station Controller systems through validation, troubleshooting, and quality control. Collaborate with global cross-functional teams to drive automation projects and integrate machine learning and AI solutions as needed. Qualifications: Candidates must be currently pursuing a bachelor's degree in computer science, Data Science, Computer Engineering, or a related discipline. They should possess strong analytical, problem-solving, and communication skills, along with hands-on programming experience in languages such as Python, C, and C#. Knowledge of Agile software development methodologies and experience with manufacturing systems are highly desirable. Job Type: Student / Intern Shift: Shift 1 (Malaysia) Primary Location: Malaysia, Penang Additional Locations: Malaysia, Kulim Posti

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Machine Learning Engineer. About the job This position is to design and engineer AI powered features that makes every customer conversation smarter. As a Machine Learning Engineer on the Conversation Intelligence team, you'll develop and deploy solutions that extract meaning from voice and messaging data at Twilio scale. You'll work alongside experienced ML practitioners to ship real features - from model pipelines to production inference - that directly shape how businesses understand their customers. Responsibilities In this role, you’ll: Design and development of machine learning solutions, ensuring accuracy, performance, security, and scalability. Implement and maintain end-to-end AI/ML pipelines - from data ingestion and feature engineering through to model development, validation, and deployment with guidance from senior engineers on complex architectural decisions Instrument AI/ML services with appropriate metrics

Become a part of our caring community The Associate Vice President, Model & AI Governance, is the enterprise leader responsible for establishing and overseeing the organization’s framework for model governance, artificial intelligence (AI) risk management, responsible AI and AI governance. Reporting to the Chief Audit & Risk Officer, this executive provides independent second-line oversight and challenge of the organization’s use of models, advanced analytics, machine learning, generative AI, and emerging AI technologies. The role establishes the governance, risk-management, control, monitoring and escalation framework necessary to ensure AI models are deployed in a manner that is safe, ethical, transparent, explainable, compliant, secure and aligned with the organization’s mission and risk appetite. The Associate Vice President, Model & AI Governance, partners closely with executive leadership, technology, data and analytics, clinical/business leaders, compliance, legal, privacy, cybersecurity, information security, internal audit, enterprise risk management and other control functions to ensure AI-related risks are identified, assessed, governed, monitored, and appropriately reported. This leader will serve as an advisor to executive management on emerging model and AI risks, while maintaining appropriate independence from the teams developing and deploying models and AI solutions. Key Responsibilities Own and continuously enhance the enterprise model governance framework, including model identification, inventory, classification, risk tiering, development, validation, approval, implementation, monitoring, change management, retirement and documentation. Define model risk appetite, risk taxonomy, minimum control standards, governance requirements and escalation thresholds. Provide effective challenge over model

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. Micron Technology’s DRAM and Emerging Memory Group (DEG) is a distributed team of engineers and innovators focused on advancing next-generation memory technologies. For more than 43 years, Micron has been a leader in semiconductor innovation, delivering solutions that power applications ranging from artificial intelligence and high-performance computing to immersive digital experiences. The team is committed to innovation, integrity, sustainability, and meaningful community impact while driving the future of memory technology. As an HBM Memory Design Engineer, you will design, analyze, and optimize digital, analog, and memory circuits used in High Bandwidth Memory (HBM) products. You will collaborate with global design, verification, and product teams to develop high-performance DRAM solutions that meet manufacturability, reliability, and performance objectives. This role provides the opportunity to contribute to innovative memory technologies supporting AI, HPC, and data-centric applications. As part of Micron’s AI-Enabled workforce transformation, you will leverage AI-Assisted tools and data-driven methodologies to improve engineering productivity, accelerate design analysis, enhance decision-making, and drive innovation throughout the product development lifecycle. Responsibilities Design, analyze, and optimize memory, logic, and analog circuits for HBM products, including support for layout, validation, and tape-out activities. Perform circuit verification, parasitic modeling, and design simulations

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. Position Overview: As a Staff/Principal Equipment Engineer within PROCT ADT, you will provide technical leadership to improve equipment performance, capability, and global manufacturing outcomes. You will lead complex, multi-site initiatives to resolve equipment challenges, enable technology node readiness, and drive yield and defectivity improvements. This role requires deep expertise, strong ownership, and the ability to influence across teams and suppliers to deliver measurable impact in cost, performance, and scalability. Responsibilities Lead global ownership of equipment performance across toolsets, driving improvements in stability, availability, matching, and efficiency. Direct complex, multi-fab root cause analysis for equipment-driven yield, defectivity, and reliability issues using data-driven and physics-based approaches. Provide technical leadership in tool hardware and chamber behavior to expand process capability and improve performance limits. Partner with Technology Development, integration, and process teams to enable node readiness, volume ramp, and disciplined change control. Influence equipment supplier strategy by leading technical engagements, driving design improvements, and aligning roadmaps to business needs. Drive global standardization through development, validation, and deployment of Best Known Methods (BKMs) across sites. Lead initiatives to improve cost of ownership, reduce variation,

Here’s a summary of the role: Diligent is seeking for a Delivery Analyst (Entities) to join our growing Professional Services team. We're looking for individuals who are passionate about technology and consistently exceeds client expectations, from meeting deadlines to delivering high-quality outcomes. In this role, you will be responsible for executing and delivering solutions in response to managed services requests from customers. As a subject matter expert in Diligent's solutions, you will collaborate closely with internal teams to ensure successful delivery and an exceptional client experience. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Deliver Professional Services over the course of the entire customer journey and/or product enablement lifecycle. Assist PS management, CS team, and other stakeholders (where relevant and appropriate. Example: Sales, PM, PMM or Marketing) in the different stages of the customer lifecycle. Leverage product expertise to provide guidance to customers on best practices regarding solution rollout and project execution. Continue to develop and maintain Domain and Product expertise to provide guidance to customers on best practices for solution rollout and project execution through continuous learning and personal development. Build confidence to lead the implementation process end-to-end independently including engagement with the customer. Work with clients to understand their program goals and how they collect/process data. Support the assessment of source data and document structures, including metadata, naming conventions, relationships, and access requirements, to help define migration scope and mapping needs. Prepare and cleanse data and documents for migration by assisting with deduplication, metadata normalization, validation, and identificati

A Career with Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. What You’ll Do We are passionate about data. We collaborate to build elegant, effective, scalable, and highly reliable solutions to empower predictive modeling in finance. You will join a team that plays a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe. Specifically, you will: Serve as a frontline owner for thousands of mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with portfolio managers, data scientists, and external data vendors. Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. What’s Required Bachelor’s degree with a focus in computer science or a related field. Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments; familiarity with Databricks is a plus. Exceptional attention to detail with a strong appreciation for well-defined processes and systems. 3+ years of experience in a client-facing support or operations role. Excellent organizational, communication, and interpersonal

Ready to do the most impactful work of your career? At Coinbase , we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase . We're hiring a Staff Analytics Engineer to lead the data foundations for the Compliance Data team within the Platform organization. This team owns the Compliance Reporting Data Platform, Coinbase's canonical source of truth for user, transaction, and compliance data, and every regulatory report at Coinbase depends on it. You'll define the technical direction for how compliance data is modeled, validated, and certified at scale, ensuring our foundations hold as products, entities, and regulatory requirements evolve, while also delivering accurate, timely data when regulators come calling. What you'll do: Own the systems, architecture, technical strategy, and roadmap for the Compliance Data, including the data models, pipelines, quality frameworks, and certification processes that the entire compliance reporting stack depends on. Build production-grade solutions, in addition to data models and pipelines, covering user, transaction, and compliance data across retail and institutional product lines, designing for durability, auditability, and consumption by both analysts and AI agents. Drive data quality at the source by establishing data contracts, validation frameworks, monitoring, and reconciliation logic that catch issues before they propagate to downstream reports or regulatory filings. Partner with upstream engineering teams, Compliance leadership, and downs

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir