Quality Engineer

Work Flexibility: Onsite Quality Technician I Descripción general Como Quality Technician I, apoyarás las actividades de calidad en un entorno de manufactura de dispositivos médicos, colaborando con equipos multifuncionales para garantizar el cumplimiento de los estándares de calidad, los requisitos regulatorios y los procedimientos internos. El puesto participa en inspecciones, gestión de no conformidades, actividades CAPA y análisis de datos de calidad para respaldar las operaciones diarias de producción. Qué harás Realizar inspecciones de materia prima, producto en proceso y producto terminado utilizando métodos, herramientas y equipos de medición establecidos. Verificar el cumplimiento de especificaciones, planos, instrucciones de trabajo y requisitos de calidad aplicables. Documentar resultados de inspección y registros de calidad de forma precisa y oportuna. Iniciar, investigar y apoyar el cierre de no conformidades y acciones correctivas y preventivas. Analizar tendencias de calidad y generar reportes y gráficos para apoyar la toma de decisiones. Identificar, documentar y comunicar materiales, productos o procesos no conformes. Colaborar con producción y otras áreas para asegurar el cumplimiento de los estándares de calidad y brindar orientación sobre requisitos de inspección. Participar en auditorías, validaciones de procesos y actividades de mejora continua, apoyando el cierre de hallazgos y acciones derivadas. Lo que necesitarás Calificaciones requeridas Bachillerato en Educación Media concluido. Mínimo 5 años de experiencia en aseguramiento o control de calidad (QA/QC). Mínimo 5 años de experiencia en la industria de dispositivos médicos. Inglés intermedio para lectura y escritura. Experiencia en lectura e in

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. We're looking for an Engineering Manager to lead four distinct but connected areas: our intern program, intern-staffed maintenance team, Quality Engineering, and Solutions Engineering. You'll lead people at different stages of their careers, from university interns building production experience to senior technical ICs solving complex quality, performance, and customer challenges. Team leads will continue to own day-to-day technical direction. You'll own people leadership, talent development, operating health, and coordination across the portfolio. This is a broad leadership role for someone who can build strong teams, use data to drive decisions, and make AI part of how work gets done. We move fast. You'll help these teams move with more clarity, quality, and leverage. What you'll do Lead, coach, and develop people across the intern program, maintenance, Quality Engineering (QE), and Solutions Engineering (SE), while partnering closely with team leads on technical direction. Build clear goals and development plans for direct reports. Run effective 1:1s, deliver actionable feedback, and create meaningful opportunities for career growth. Own the intern program from recruiting through conversion, including university partnerships, candidate selection, onboarding, mentorship, cohort programming, performance feedback, and offboarding. Build a repeatable intern experience that connects academic learning with meaningful p

GAQ427R224 We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. What you will do Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. Maintain MCP servers across our AI tools portfolio. Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. Instrument AI automations with logs, metrics, and feedback loops. Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar

Job Details: Job Description: As a System Simulation Engineer, you will play a critical role in developing and optimizing simulation models to support the design and validation of cutting-edge systems. Your day-to-day activities will include creating, refining, and analyzing system-level simulations to assess performance, reliability, and functionality. Your expertise will directly contribute to the development of innovative solutions that drive Intel's success in delivering high-quality products to market. Intel Corporation is a world leader in designing and manufacturing advanced technologies that power the future of computing. The organization you will join focuses on enabling innovative engineering solutions that support Intel's broader goals of advancing technology leadership. By fostering collaboration across teams and disciplines, this group drives impactful contributions to Intel's product portfolio and technological growth. The primary responsibilities for this role will include, but are not limited to: Develop and maintain system-level simulation models to evaluate performance, reliability, and functionality. Collaborate with cross-functional teams to gather requirements and ensure alignment with design and validation goals. Analyze simulation results and provide actionable insights to improve system design and architecture. Optimize simulation frameworks for accuracy and efficiency, ensuring alignment with project timelines. Document processes, methodologies, and findings to facilitate knowledge sharing and collaboration. Qualifications: Minimum Qualifications : Minimum qualifications are required to be initially considered for this

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. About the role As a Lead Software Engineer at OfficeSpace, you'll shape the future of our workplace platform by building scalable products, leading technical execution, and raising the engineering bar across the team. You'll combine deep technical expertise with strong engineering leadership. From architecting distributed systems to mentoring teammates and designing AI-powered engineering workflows, you'll help us deliver enterprise software that is reliable, secure, and built to scale. This is a hands-on leadership role. We provide the platform. You drive the impact. What you'll do - Lead the architecture, design, and delivery of high-performance applications using Ruby on Rails, React, and modern cloud technologies. - Build scalable, maintainable software that supports enterprise customers across a rapidly growing platform. - Design AI-assisted engineering tools, workflows, and automation that improve developer productivity, code quality, and customer outcomes. - Own projects end-to-end—from technical discovery through production deployment and long-term ownership. - Shift quality left by embedding automated testing, code quality practices, and continuous validation early in the development lifecycle. - Drive predictable delivery by managing scope, balancing technical debt, protecting sprint commitments, and reducing reactive work. - Establish performance benchmarks and continuously optimize application spe