דרושים Sr Project Manager - Supply Chain Compliance ב-Kla ב-United States, Michigan, 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

. Please ensure that you have searched

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

• 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

• DevSecOps Strategy & Implementation: Define and execute a DevSecOps roadmap that integrates security into CI/CD pipelines, Kubernetes, serverless applications, and AI-driven chatbot platforms

• Azure Chatbot Security: Implement secure AI and chatbot architectures in Azure, ensuring compliance with security standards, data protection, and access control.

• Databricks Security & Data Protection: Secure data lakes, ML models, and Databricks notebooks by implementing role-based access control (RBAC), encryption, and compliance monitoring

• Security Automation & Infrastructure as Code (IaC): Automate security controls using Terraform, Ansible, Bicep, and Azure Policy to enforce security in cloud-native deployments

• Azure Key Vault & Secrets Management: Design and implement secure identity and secrets management strategies, ensuring API keys, encryption keys, and credentials are properly managed.

• Digital Rights Management (DRM): Implement data protection, rights management, and access controls to ensure secure handling of intellectual property, digital assets, and sensitive data across applications and data platforms

• Cloud & Container Security: Establish best practices for securing containers, Kubernetes, microservices, and serverless functions, including runtime security and policy enforcement

• MITRE ATT&CK-Based Threat Modeling & Risk Management: Utilize MITRE ATT&CK techniques to enhance threat modeling, detection engineering, and security response strategies for applications, infrastructure, and data environments

• Zero Trust & API Security: Enforce security controls around OAuth, SAML, JWT, Zero Trust, and API gateways to secure applications, chatbot interactions, and Databricks data pipelines

• Security Monitoring & Incident Response: Leverage MITRE ATT&CK tactics to design threat hunting, detection, and response strategies using SIEM, XDR, and threat intelligence tools

• Compliance & Governance: Ensure DevSecOps implementations align with NIST, CSA, CIS, ISO 27001, and regulatory requirements (e.g., SOX, GDPR, CMMC, HIPAA)

• Collaboration & Training: Partner with development, IT, and security teams to build security awareness and advocate for secure coding, DevSecOps best practices, AI security, and data security

• Security certifications (CISSP, CSSLP, CCSP, CKS, OSCP, GCSA, or similar)

• Hands-on experience with CI/CD tools (Azure DevOps, GitHub Actions, GitLab CI/CD, Jenkins, ArgoCD, etc.)

• Expertise in Azure Security Services, including Azure Key Vault, Azure Sentinel, Defender for Cloud, and Security Center

• Experience securing AI-driven chatbot platforms (Azure Bot Service, OpenAI GPT, or similar)

• Strong knowledge of cloud security (Azure, AWS) and container security (Kubernetes, Istio, Docker)

• Experience securing Databricks workloads, data lakes, ML pipelines, and Spark environments

• Familiarity with Digital Rights Management (DRM) strategies for protecting sensitive assets

• Strong experience leveraging MITRE ATT&CK for threat modeling, detection engineering, and adversary simulation

• Experience implementing SAST, DAST, SCA, and RASP security solutions in DevOps workflows

• Familiarity with SOAR, SIEM, XDR, and threat intelligence tools

• Experience working with API security, OAuth2, JWT, SAML, and microservices security

• Strong understanding of secure coding principles, threat modeling, and OWASP Top 10

• Excellent communication skills to influence development teams, data engineering teams, and executive leadership

Minimum Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Software Engineering, or equivalent experience in a related field

• Minimum five (5) years of experience in DevSecOps, cloud security, or cybersecurity architecture

• Hands-on expertise in securing cloud-based AI/chatbot solutions, data platforms (Databricks), CI/CD workflows, and software development

• Strong background in cloud security, automation, and compliance

• Ability to design scalable and secure application architectures

• Passion for fostering a security-first DevOps culture

. Please ensure that you have searched