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. 生産性改善（故障率低減, スループット向上）, 品質向上, コスト削減プロジェクトの推進 新規装置の立ち上げ, 改造, 移設• 撤去 データ分析による課題抽出と改善策の提案 他部門との協力によるプロジェクト推進 既存の枠にとらわれない新しい取り組みの提案• 実行 Lead projects to improve productivity (reduce failure rates, increase throughput), enhance quality, and reduce costs New tool installation, tool modification, relocation, and decommission Identify issues and propose solutions through data analysis Collaborate with other departments to drive projects Propose and implement innovative approaches beyond conventional methods About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

Role Description L’Expert(e) en fiabilité des services (SRE) fera partie d'une équipe multidisciplinaire qui fournira le soutien technique et projet de niveau L1 et de L2. Le rôle est centré sur le soutien à la production et exige un large éventail de compétences techniques. Le(la) SRE travaillera en étroite collaboration avec les équipes de développement et d'infrastructure. Le(la) SRE travaillera également avec d'autres équipes pour répondre aux incidents et résoudre rapidement les problèmes, souvent sous pression, afin de rétablir des services normaux à l'entreprise. Par conséquent, la capacité d'être sur appel et de fournir du soutien en dehors des heures peut être requise. Les candidat(e)s doivent posséder l'aptitude et le désir d'apprendre de nouvelles technologies et apporter des idées aux technologies recherchées qui peuvent être utiles au département. Responsibilities - Surveiller, gérer et améliorer de façon proactive la disponibilité et la performance des environnements de production (des couches de présentation et d'application aux couches d'infrastructure); - Planifier et mettre en oeuvre les déploiements applicatifs, les tests de charge et les modifications de configuration; - Apprécier que la production soit prête et disponible et travailler avec les équipes pour comprendre les besoins des utilisateurs; - Contribuer à des projets techniques de moyenne et de grande envergure en contribuant à la revue et à la conception de l'architecture, à la mise à jour et à la migration des systèmes d'application vers de nouvelles plates-formes; - Collabore et travailler à un ensemble de tâches prioritaires en assurant des mises à jour régulières en veillant à ce que la solution cible demeure la priorité; - Comprendre les phases de la livraison pour s'assurer que les travaux sont terminés selon une spécification et un calendrier défini; - Aider à identifier les optimisations d’efficacité des processus et à contribuer à leur automatisation; - Fournir des retours constructifs et proposer des solutions à la direction sur les questions de rendement, de capacité et de conception; - Collabore à documenter les conceptions et les architectures et distribuer les minutes et les actions de réunion. Qualifications - Au moins 5 à 7 ans d'expérience dans un rôle similaire; - A voir l'expérience nécessaire pour fournir un soutien technique multidisciplinaire dans le cadre d'une équipe et posséder des connaissances pratiques en matière de gestion de la performance et de la capacité du point de vue de l'application, de la base de données et du réseau; - Solide aptitude à l'automatisation; - Administration du système : Connaissance approfondie de Linux/Unix et bonne connaissance des systèmes Windows; - Forte connaissance de la solution de conteneurisation comme Docker et Kubernetes; - Bonne compréhension générale de l'infrastructure globale, des pares-feux, des réseaux et des considérations dans ces domaines; - Compréhension des plateformes et des solutions basées sur le cloud; - Réseaux : bonne compréhension des principes du réseau et connaissance pratique des technologies d'équilibrage des charges; - Sécurité : Connaissance des API et de l’interaction avec Cyberark ou Vault; - Bases de données : exposition ou compétences avec SQL Server, Oracle et les DBs noSQL; - Surveillance et observabilité : Expérience de la configuration des outils de surveillance des applications (comme Dynatrace); - Compréhension du cycle de vie des applications et méthodologie Agile; - Expérience de travail avec des outils communs de CI/CD (Jenkins, Bitbucket, Artifactory, Ansible, ArgoCD); - Connaissance des méthodologies de programmation et de script et maîtrise démontrable d'écriture de code dans des langages de programmation comme Python; - Bonne compréhension des processus ITIL; - Compréhension de l'authentification utilisateur et serveur permettant les cycles de déploiement automatisés tout en assurant que la sécurité est une des principales préoccupations; - Forte capacité de résolution de problèmes; - Excellente communication en français et en anglais. L'anglais est requis, le poste demandant de communiquer avec des clients et des partenaires situés à l'extérieur du Québec. Requirements - Seuls les candidats légalement autorisés à travailler pour tout employeur au Canada seront considérés. Benefits - Minimum of 3 weeks of vacation starting from the first year; - Comprehensive group insurance with a generous employer contribution; - Employer contribution to a group RRSP; - Full remote work flexibility: Hybrid, Remote, or On-site; - A warm, bright, and welcoming office offering fresh fruit, coffee, beverages, occasional meals, etc.; - Annual IT equipment budget; - A balanced work environment with flexible working hours; - Career development: training and certifications, online or in-person learning, Wepoint Academy, etc.; - An international community of experts ready to share their knowledge; - A company culture focused on individuals’ needs and their belonging to a strong community.

Role Description Join Amgen’s Mission of Serving Patients. As part of the Artificial Intelligence & Data organization, the AI & Data Innovation Lab is a center for exploration and innovation, focused on integrating and accelerating new technologies and methods that deliver measurable value and competitive advantage. We are seeking a Senior Machine Learning Engineer to help build high-impact AI proofs-of-concept that are credible, scalable, secure, and designed with a clear path to production. - Build scalable AI proof-of-concepts that demonstrate a clear path from prototype to enterprise-scale solution. - Partner with product managers, business stakeholders, platform teams, and AI & software engineers to translate ambiguous business needs into practical AI solutions with measurable value. - Design and implement modern AI systems using LLMs, agentic workflows, retrieval-augmented generation, data pipelines, APIs, cloud-native services, and enterprise platforms. - Rapidly validate feasibility and value by assessing technical risk, data readiness, integration complexity, user experience, security considerations, performance, cost, and business impact. - Create reusable technical assets such as reference architectures, reusable components, documentation, decision records, and handoff materials that enable product, platform, or delivery teams to scale successful POCs. - Raise the technical bar for the team by modeling strong engineering practices, mentoring others, improving delivery patterns, and bringing clear ownership and accountability to uncertain, fast-moving work. Qualifications - Doctorate degree OR - Master’s degree and 2 years of relevant experience OR - Bachelor’s degree and 4 years of relevant experience OR - Associate’s degree and 8 years of relevant experience OR - High school diploma / GED and 10 years of relevant experience Requirements - 4-6 years of relevant experience in AI engineering, machine learning engineering, software engineering, data engineering, cloud engineering, or related technical roles. - Demonstrated experience building full-stack AI-powered applications designed with scalability, security, evaluation, and maintainability in mind. - Strong understanding of modern AI application architecture, including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, tool use, orchestration frameworks, and AI evaluation methods. - Experience defining and applying evaluation methods for AI solutions, including accuracy, reliability, hallucination risk, latency, usability, safety, cost, and fitness for intended use. - Ability to translate ambiguous business problems into practical technical approaches, make sound tradeoffs, and rapidly validate feasibility, value, risks, and path to scale. - Experience with AWS Cloud, data pipelines, integration architecture, containers, CI/CD, observability, and secure development practices. - Strong software engineering foundation, preferably with Python and modern development practices, including testing, version control, modular design, documentation, and maintainable code. - Demonstrated ability to responsibly use AI tools to improve engineering productivity, explore technical solutions, automate repetitive tasks, and enhance the delivery of machine learning or software products. - Excellent communication, ownership, and cross-functional leadership skills, with the ability to partner effectively with product managers, business stakeholders, platform teams, and AI and software engineers. Benefits - A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. - A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan. - Stock-based long-term incentives. - Award-winning time-off plans. - Flexible work models where possible. Company Description Amgen is dedicated to improving the quality of life for people around the world, fostering an inclusive environment of diverse, ethical, committed, and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients.

Role Description MRI Technologies has an exciting opportunity for a Parachute Modeling Engineer on the JETS II contract at NASA Johnson Space Center. In this role, you will develop and maintain state-of-the-art multi-body parachute system models and integrate them into NASA's flight mechanics simulations in support of the Orion and Artemis Programs. You will work alongside NASA civil servants, the GN&C team, and parachute analysis subject matter experts to deliver high-fidelity simulation tools for crewed spacecraft recovery systems. This role has the potential to be fully remote for the right candidate, which is rare for this contract as it typically requires in-person onsite work at Johnson Space Center. A typical day involves: - Developing and validating parachute deployment, inflation, and full-open flight models. - Integrating models into NASA's Julia-based flight mechanics simulation or NASA Trick-based simulations written in C++. - Collaborating with parachute analysis experts to reconstruct drop test data or assess parachute system performance from spacecraft flights. - Running simulations on the High-Performance Computing (HPC) system to support landing touchdown condition analyses. - Writing requirements documentation. - Presenting verification and validation results to the team in a technical review. The work is analytically demanding, safety-critical, and directly tied to enabling safe crew recovery for every Orion and future commercial crew mission. Qualifications - Bachelor's degree in Engineering from an accredited institution. - Minimum of 2–5 years of experience in the field or a related area. - Experience with 6-DOF and multi-body flight mechanics simulations. - Experience with software development in any programming language. - Experience developing, verifying, and validating parachute or other flight mechanics simulation models. - Experience analyzing spacecraft performance. - Experience with source code management tools such as Git or GitLab. - Excellent oral and written communication skills. - Ability to work in a team environment consisting of NASA civil servants and contractor employees. - Ability to organize and prioritize tasks to meet deadlines and schedules with limited supervision. - Ability to prepare written documents and present findings at technical meetings and reviews. - Proficiency with Microsoft Office products. Requirements - A bachelor's degree from an ABET-accredited engineering school with five (5) years of related engineering experience, a master's degree with four (4) years of related experience, or a Ph.D. with zero (0) years of related experience. - Ph.D. in Aerospace Engineering with a focus on flight mechanics. - Proficiency in Julia, C++, and Linux. - Experience with software design for simulation frameworks. - Proven experience reconstructing parachute drop tests or spacecraft flight performance from telemetry data. - Experience executing simulations on High-Performance Computing (HPC) systems. - Familiarity with NASA JSC organizations, processes, and procedures, including the Orion or Commercial Crew programs. - Experience participating in design reviews, technical interchange meetings, or anomaly investigations. - Demonstrated ability to collaborate across GN&C, structures, and parachute analysis disciplines. Benefits - Comprehensive benefits package including medical, dental, vision, company paid life and disability insurance. - Paid time off and 401(k). - 9/80 work schedule (every other Friday off, when applicable). - Strong career development opportunities working alongside NASA's human spaceflight teams.