דרושים Sr Enovia Plm Solution Architect-3dexperience Cad ב-Kla ב-United States, Ann Arbor

Responsibilities

Work with functional groups to define requirement specifications needed to developelectrical/electronic

Responsible for technical project planning including project timelines, milestones, budget estimate and design reviews

Design mixed signal electronic systems, including schematic capture, simulation and layout review

Create test plans and perform testing, technical and root cause analysis to validate design performance at bench and system level including hands-on testing, spec validation, troubleshooting and root cause analysis

Qualifications

Minimum 5-7 year’s experience with BSEE, or 3-5 years experience with MSEE

Solid knowledge of electrical system design principles, analog/digital and mixed signal design, computer electronics, etc.

Strong technical project management skills and good understanding of engineering design phases and deliverables

Good track record to drive executions

Excellent problem-solving skills

Excellent written and verbal communications skills

Hands-on experience with lab equipment like logic analyzer, oscilloscope, soldering, etc.

Knowledge of board level FPGA/CPLD, motor/motion controls, power electronics, camera systems and image acquisition is a plus

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As a Sr. SAP Systems Analyst, you will oversee and manage the SAP infrastructure of KLA Corporation to ensure it meets future requirements and scalability, while adhering to industry-leading best practices. You will be responsible for contributing to the implementation of solutions aimed at streamlining processes, reducing redundancy, and enhancing the internal customer experience.

Maintenance and Support:

• Oversee SAP system performance and address performance related issues in advance to reduce downtime and business disruption

• Conduct routine health assessments of the SAP infrastructure and implement corrective actions, as necessary. Maintain system performance to meet benchmark standards

• Offer continuous technical support and comprehensive technology training to global users, ensuring they acquire the necessary skills to effectively utilize SAP

• Engage in discussions with various business stakeholders at KLA to understand SAP security requirements, follow the security change process, and ensure access risks are remediated or mitigated

• Identify and address issues through root cause analysis to ensure permanent corrective action and provide on-call support during critical events and milestones

• Ensure clear communication by translating complex technical information into understandable terms for non-technical personnel. This facilitates the successful identification of requirements and issues

Best Practice and Documentation:

• Establish and enforce best practices for SAP documentation to ensure that other team members are aware of changes in the SAP landscape

• Maintain comprehensive documentation of system configuration, processes, and procedures. This involves creating detailed, organized, and current records covering all system aspects. The documentation should be accessible, understandable, and aid in efficient system management and troubleshooting

Collaboration and Leadership:

• Collaborate with a cross-functional team, including IT and business units, to align SAP standard capabilities with business objectives

• Extensive knowledge of SAP Basis and Security on SAP products such as SAP ECC, SAP CRM, SAP Gateway (Fiori), SAP SRM, SAP PO/PI, SAP NetWeaver Application Server Java, SAP GRC, SAP Solution Manager, S/4Hana, E4H SAP GTS Edition for HANA, SAP Cloud ALM, SAP ILM, OpenText, SAP connector applications and SAP SAAS offering in BTP

• Possess extensive hands-on experience with certificate upgrades and IP whitelisting, along with a thorough understanding of network and authentication concepts. Skilled in integrating third-party systems with SAP

Minimum Qualifications

• Bachelor's degree in engineering or technical field is required

• Minimum eight (8) years of experience as a SAP Systems Analyst, with a solid focus in SAP Basis and Security on various SAP products, including SAP Gateway (Fiori), SAP SRM, SAP PO/PI, SAP NetWeaver Application Server, Java, SAP GRC, SAP Solution Manager, S/4Hana, E4H SAP GTS Edition for HANA, SAP Cloud ALM, SAP ILM, OpenText, SAP connector applications, and SAP SAAS offering in BTP

• Extensive hands-on experience with SAP Basis activities, providing technical support, leading SAP release upgrades, infrastructure upgrades, and performing OS/DB migrations

• Technical expertise in HANA database administration – Offer expertise and assistance in high availability (HA), disaster recovery (DR), backup, recovery, security, and performance improvement

• Possessing practical knowledge of infrastructure and network operations, along with expertise in handling critical issues within the service incident and organizational change processes

• Extensive practical experience with operating systems such as Unix, Linux, and Windows, combined with a thorough understanding of the networking requirements specific to the SAP environment

• Extensive understanding of cybersecurity processes, project management methodologies, and SAP operational governance frameworks

• Provide on-call support during weekdays and weekends according to the defined schedule or as needed

or at +1-408-352-2808

Responsibilities:

• Design, develop, and deploy AI-driven solutions leveraging Generative AI and LLMs

• Architect and implement scalable, cloud-based AI applications (Azure experience preferred)

• Build and optimize AI models using Python and modern ML frameworks

• Ensure reliable software deployment and support production environments

• Drive best practices in AI, cloud deployment, and solution architecture

• Monitor and troubleshoot production AI applications, ensuring high availability and performance

• Collaborate with data scientists, engineers, and product teams to integrate AI capabilities into software products

• Provide technical mentorship and guidance to junior engineers

Minimum Qualifications

• Bachelor's degree in CS, IT, Computer Engineer or related field

• Minimum eight (8) years of proven experience in software engineering, AI engineering, cloud engineering, or a similar role

• Experience supporting and maintaining production AI applications

• Solid understanding of solution architecture, software deployment, and cloud infrastructure

• Experience deploying applications to cloud environments (Azure Preferred)

• Hands-on expertise in Generative AI and Large Language Models (LLMs)

• Proficiency in Python and experience with AI/ML frameworks (e.g., CUDA, OpenAI, Hugging Face, or similar)

• Ability to collaborate effectively with multi-functional teams and partners

or at +1-408-352-2808

Qualifications

• Identify and resolve infrastructure gaps to ensure reliable, efficient, and scalable solutions
• Develop advanced AI/ML infrastructure solutions that enhance the efficiency of our skilled ML teams
• Design and implement solutions for critical areas, including distributed storage systems, scheduling systems, high availability capabilities, and core reliability issues within our large-scale GPU clusters
• Monitor and optimize the performance of our AI/ML infrastructure, ensuring high availability, scalability, and efficient resource utilization
• Develop and deploy automation tools, monitoring solutions, and operational strategies to streamline infrastructure management and reduce manual tasks
• Work with various teams, including ML developers, data engineers, and DevOps professionals, to create a cohesive and integrated AI/ML infrastructure ecosystem
• Implement and manage GPU infrastructure within Kubernetes clusters to support high-performance computing and AI/ML tasks
• Deploy and manage open-source GenAI components, such as vector databases and various AI/ML models, ensuring seamless integration and optimal performance
• Evaluate and integrate new open-source GenAI tools and technologies to enhance the platform’s capabilities
• Collaborate with the research and development teams to implement and optimize innovative AI/ML models and algorithms
• Ensure the security and compliance of open-source GenAI components within the infrastructure
• Leverage High-Performance Computing (HPC) experience to optimize and manage large-scale AI/ML workloads
• Design, implement, and manage on-premises, cloud, and hybrid-based ML platforms to support diverse AI/ML workloads and ensure flexibility and scalability

Minimum Qualifications

• Bachelor's Degree or equivalenttraining/certificationsin Computer Science or related IT field
• Eight (8) years of implementing and maintaining AI/ML Infrastructure On-Prem environment
• Strong experience with AI/ML infrastructure and tools, including GPU clusters and Kubernetes
• Proficiency in deploying and managing open-source GenAI components and vector databases
• Hands-on experience with high-performance computing (HPC) environments
• Expertise in designing and managing on-premises, cloud, and hybrid-based ML platforms
• Solid understanding of distributed storage systems, scheduling systems, and high availability capabilities

or at +1-408-352-2808

Responsibilities:

• Design, develop and deploy Microsoft Fabric solutions, Power BI reports and dashboards

• Collaborate with business stakeholders to gather requirements and translate them into technical specifications

• Develop data models and establish data connections to various data sources. Use expert knowledge on Microsoft fabric architecture, deployment, and management

• Optimize Power BI solutions for performance and scalability

• Implement best practices for data visualization and user experience

• Conduct code reviews and provide mentorship to junior developers

• Manage permissions and workspaces in Power BI ensuring secure and efficient analytics platform

• Conduct assessments and audits of existing Microsoft Fabric environments to identify areas for improvement

• Stay current with the latest Fabric and Power BI features and updates

• Troubleshoot and resolve issues related to Fabric objects, Power BI reports and data sources

• Create detailed documentation, including design specifications, implementation plans, and user guides

Minimum Qualifications

• Bachelor's Level Degree and related work experience of eight (8) years

• Proven experience as a Power BI Developer, with a strong portfolio of Power BI projects

• In-depth knowledge of Power BI, including DAX, Power Query, and data modeling

• Experience with SQL and other data manipulation languages

• In-depth knowledge of Microsoft Fabric and Power BI, including its components and capabilities

• Strong understanding of Azure cloud computing, data integration, and data management

• Excellent problem-solving skills and the ability to work independently and as part of a team

• Excellent Technical Problem Solving skill, performance optimization skills

• Specialist in SQL and Stored procedures with Data warehouse concepts

• Performed ETL Processes (Extract, Load, Transform)

• Exceptional communication and interpersonal skills

• Expert knowledge of cloud and big data concepts and tools. – Azure, AWS, Data Lake, Snowflake, etc.

Nice to have:

• Expert level SQL skills

• Foundational knowledge of the following areas:

  • Metadata management

  • Master Data Management

  • Data Governance

  • Data Analytics

• Good to have technical knowledge on Data Bricks/Data Lake/Spark/SQL

• Experience in configuring SSO(Single Single-On), RBAC, security roles on an analytics platform

• SAP functional knowledge is a plus

• Microsoft certifications related to Microsoft Fabric/Power BI or Azure/analytics are a plus

• Good understanding of requirements and converting them into data warehouse solutions

or at +1-408-352-2808

The Senior Azure Cloud Architect will be responsible for designing, implementing, and managing cloud-based solutions on the Microsoft Azure platform. This role requires a deep understanding of IaaS, PaaS, security, networking, and cloud architecture best practices. The ideal candidate will have extensive experience in cloud platform design and development, with a focus on delivering scalable, secure, and efficient solutions.

• Design, deploy, and manage Azure cloud platform

• Collaborate with cross-functional teams to gather requirements, provide technical guidance, and ensure alignment with best practices.

• Configure and manage Azure resources, including virtual machines, web apps, AI resources, storage accounts, networking components, and Azure Kubernetes Service (AKS) clusters.

• Implement security measures and best practices to ensure the integrity and confidentiality of data in Azure environments.

• Optimize Azure infrastructure for performance, cost, and scalability.

• Troubleshoot and resolve issues related to Azure deployments, networking, and application performance.

• Monitor and maintain Azure services to ensure high availability and optimal performance.

• Collaborate with development teams to streamline application deployment processes and implementinfrastructure-as-codepractices.

• Stay up to date with the latest Azure features, services, and trends, and evaluate their potential impact on the infrastructure.

• Design and implement cloud segmentation and micro-segmentation strategies to enhance security and manageability.

• Manage cloud identity and access management (IAM) to ensure secure and efficient user access to Azure resources.

• Proficient in configuring and managing Azure networking components, including virtual networks, subnets, network security groups, and load balancers.

• Skilled in implementing cloud segmentation and micro-segmentation strategies to enhance security and manageability.

• Experience in creating and managing sandbox environments to facilitate testing, development, and experimentation with new technologies and solutions.

Minimum Qualifications

• Bachelor's Degree in a Computer Science or related IT field

• Minimum eight (8) years of experience in cloud architecture and design, focusing on Azure.

• Strong knowledge of IaaS, PaaS, and cloud security best practices.

  Experience with network design and implementation in cloud environments.

• Excellent problem-solving, communication, documentation, and collaboration skills.

• Ability to design and implement secure access controls, encryption mechanisms, and data protection strategies.

• Nice to have a knowledge of AWS cloud services and infrastructure.

or at +1-408-352-2808

• Lead the development and implementation of AI products, ensuring they meet project requirements and business goals.
• Help the team build infrastructure and deploy modern MLOps techniques to our customer sites.
• Rapidly prototype and iterate on machine learning applications, demonstrating large language models (LLMs) for various use cases.
• Stay updated with the latest ML/AI research and integrate new techniques into our products.
• Select appropriate datasets, perform data preprocessing, and ensure data quality for training models.
• Conduct machine learning tests, perform statistical analysis, and fine-tune models for efficient performance.
• Work closely with multi-disciplinary teams, including data scientists, software engineers, and product managers, to deliver high-quality AI solutions.
• Guide and mentor junior team members, encouraging a culture of continuous learning and improvement.

• Educational background in Computer Science, Mathematics, or a related field.
• Proficiency in Python and Machine Learning (ML) frameworks such as PyTorch, TensorFlow, and Keras.
• Hands-on experience with Large Language Models and related tools.
• Strong problem-solving abilities and experience with statistical analysis.
• Effectively convey sophisticated technical concepts to non-technical team members.
• Ability to work collaboratively with fellow team members and lead multiple projects simultaneously.
• Experience leading a project or team is required.

Preferred Qualifications:

• Experience with cloud platforms like Azure, AWS, or Google Cloud for deploying and running ML models.
• Previous experience in a similar role within the AI/ML industry.

Minimum Qualifications

Requires a minimum of 5 years of related experience with a Bachelors degree, or 3 years of experience and a Masters Degree

or at +1-408-352-2808