דרושים Senior Revenue Analyst ב-Kla ב-United States, Milpitas

Qualifications

• Responsible for the solution design, configuration, testing and maintenance of the SAP FI/CO modules in ECC 6.0, including providing SAP expertise in FI/CO area. Experience with SAP RAR is preferred

• Experience with S/4 HANA finance transformation projects require

• Actively work with Business Resources to determine the technical solution that best meets the business requirements

• Experience and knowledge of integration points of FI/CO modules and across other SAP modules

• Responsible for Enhancements, projects as well as adhoc support to troubleshoot, investigate, analyze and solve production issues

• Responsible for working with business users and clients to gather and document business requirements for system changes and to develop solutions to satisfy business needs

• Responsible for analyzing the impact changes will have on other internal/external business application systems

• Responsible for developing all documentation related to system changes per SOX change control policies and procedures

• Review current finance and accounting business processes to determine where automation / improvements will drive efficiency. Identify process inefficiencies, recommend innovative uses of software functionality, design, implement solutions and train end-users

• This is a hybrid role based at our Global HQ in Milpitas, CA.

Minimum Qualifications

• Bachelor's Degree in Engineering, Business (Finance), Computer Information Systems or related field

• Eight (8) years functional and technical experience with SAP FI/CO Module in ERP system, with analysis and design of business applications related to the FICO area including but not limited to: Fixed assets, Accounts Payable, Accounts Receivable, General Ledger, product costing, PCA, CCA, interfaces to subsystems

• Experience with S/4 HANA Finance transformation projects is required

• Knowledge and experience with ABAP programming and SAP RAR is a plus

• Strong verbal and written communication skills with ability to effectively communicate with planners, peers and executive leadership

• Previous experience in systems support activities, i.e. business to IT liaison

• Previous experience in defining system requirement and defining test scenarios

• Demonstrated high learning agility and strong analytical skills

• The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions

or at +1-408-352-2808

As part of the Systems Engineering team in our FaST Division, you will be responsible for the complete lifecycle of products from concept to deployment, ensuring seamless integration and optimal performance of our cutting-edge metrology systems for Advanced Packaging.

Responsibilities:

• Design and develop system architectures and characterize system performance according to requirements
• Collaborate with cross-functional teams to design, develop, and validate metrology systems, including hardware, software, and control systems
• Define and document system specifications to meet project requirements
• Perform detailed systems analysis to ensure optimal performance and reliability
• Develop and execute comprehensive test plans to qualify systems
• Provide ongoing engineering support to ensure field systems adaption, sustainability, and customer satisfaction
• Work with Product & Program Managers to ensure project milestones met on time

Requirements:

• In-depth understanding of Systems Engineering principles with strong experience on developing complex systems in the semiconductor industry
• Outstanding skills in optical systems, opto-mechanics, mechatronics, electrical engineering, or mechanical engineering
• Strong command of general physics, math and computational skills are highly desirable
• Strong diagnostic and troubleshooting skills in optics, precision mechanics, image processing, and motion control systems
• Experience on data processing, analytics, and statistics with programming languages such as Python and MATLAB would be a plus
• Agility and ability to thrive on a fast-paced program, take on assignments in a nonfamiliar domain, and respond quickly to internal and customer site escalations
• Demonstrated competencies of critical thinking, analysis, hands-on, teamwork, and ownership
• Ability of international travel up to 25%

Minimum Qualifications

Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

or at +1-408-352-2808

Responsibilities and Scope

KLA is seeking a motivated individual with a growth mindset for a senior algo engineer position in a world-class algorithm group within the reticle product division (RAPID).

• The individual would be hands-on in development of algorithmic solutions for image modeling and processing from requirements gathering, rigorous concept formulation, prototyping, to productization.
• Identify technical bottlenecks. Balance sophistication and computational complexity through comprehensive data analysis.
• Engage directly with systems, optics, sensors & software teams to co-optimize algorithms along with other sub-systems for best overall system design.
• Collaborate and influence team members to achieve excellence in technical rigor and development agility with customer focus.

Preferred Qualifications & Attributes

• Master or Ph.D. in Applied Math, EE, Computer science or related field
• Substantial work experience in image processing, machine learning, or deep learning in advanced imaging systems
• Good knowledge of modeling of imaging systems (optical or electron beam) and HPC (high-performance computing)
• Experience in C++ production software development and object-oriented programming is needed.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years

or at +1-408-352-2808

Key Responsibilities

• Architect and implement solutions to optimize developer inner and outer loops, including workflow automation, CI/CD pipelines, andinfrastructure-as-code(IaC).

• Continuously evaluate and integrate open source and commercial tools to improve developer experience and operational efficiency including how to best leverage Artificial Intelligence.

• Champion process improvements to increase developer intensity.

• Mentor other engineers on containers, DevOps methodologies, and infrastructure automation.

• Resolve complex issues related to platform reliability, performance, and security, both proactively and reactively in engineering and field implementations.

• Work with platform team members, software engineers, SREs, product managers, and security to translate business needs into technical solutions that evolve the platform capabilities.

• Stay ahead of industry trends, emerging technologies, and evolving practices in cloud-native computing, DevOps, and techniques to continuously improve DevEx.

Preferred Qualifications

• Skilled in Linux and container platform (Docker, Kubernetes, or OpenShift) administration.

• Experience with virtualization technologies (KVM/QEMU, Hyper-V), virtual networking, storage provisioning and performance.

• Strong proficiency in at least one major cloud provider (AWS, GCP, Azure) and container-based hybrid/on-premises architectures including deployment, scaling and self-healing operations.

• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI/CD, ArgoCD, Tekton) andinfrastructure-as-code(Terraform, Pulumi, Ansible, etc.).

• Proficient in scripting and programming languages such as Python, Go, Bash, or similar.

• Experience with observability stacks (Prometheus, Grafana) and incident response processes.

• Familiarity with modern software development practices such as microservices, serverless, and event-driven architecture including multithreaded and multicore techniques.

• Strong understanding of data processing and storage technology such as SQL and NoSQL.

• Knowledgeable of and able to influence server, networking, and other hardware components.

• Ability to work effectively across teams and mentor junior engineers.

• Ability to innovate, inspire change, and influence engineering culture.

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience; Master's Level Degree and related work experience of 3 years; Bachelor's Level Degree and related work experience of 5 years

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

• 5+ years of experience in DevOps engineering, platform engineering, or SRE roles successfully working with container-based platforms and self-service infrastructure solutions.

or at +1-408-352-2808

Key Responsibilities:
• Provide technical direction to convert R&D surface modification procedure to production worthy solution and maintain defect signal enhancement benefit
• Drive the team through engineering rigor and well controlled processes to develop robust surface modification procedures to ensure predictable inspection results
• Provide technical direction on the development of various types of fluorophores
• Lead the team on the engineering design, implementation, and process optimization of selective surface marking
• Oversee characterization analysis using techniques such as XPS, SEM, AFM, ToF-SIMS, XRR, NMR, FTIR, TEM, fluorimetry, and ellipsometry
• Drive the team to develop production worthy surface modification and synthesis procedures
• Forster a culture of continuous improvement with emphasis on scientific excellence
• Establish relationship with chemical company(ies) to plan for scale-up production
• Collaborate cross-functionally with product development team and participate in customer meetings

• Prepare technical reports and conduct peer-review meetings as needed.
• Track industry trends and innovations related to atomic layer deposition, etch chemistries, and ultra-thin film coatings.

• PhD in Chemistry, Materials Science, Chemical Engineering, Physical Chemistry, Physics, or related field with a focus on surface science, surface modification, and/or fluorescence emission
• Minimum of 8–10 years of experience in surface chemistry/polymer synthesis/organic synthesis with at least 3–5 years in a managerial or leadership role.
• Proven expertise in surface modification techniques and analytical characterization.
• Experience in fluorescent dye synthesis, fabrication, and characterization
• Strong track record of leading a team to innovate, execute, and collaborate cross functionally.
• Excellent communication, leadership, and problem-solving skills
• Proven experience with IC device fabrication for logic, foundry, and/or DRAM/NAND devices,
• Demonstrated experience working directly with advanced semiconductor fabs and foundries

• Hands-on expertise with fluorescence dye usage in semiconductor applications
• Strong understanding of material interactions at nanoscale dimensions and their impact on semiconductor device performance

Minimum Qualifications

• PhD in Chemistry, Materials Science, Chemical Engineering, physical chemistry, physics, or related field with a focus on surface science and surface modification
• Minimum of 8–10 years of experience in surface chemistry/polymer synthesis/organic synthesis with at least 3–5 years in a managerial or leadership role.
• Proven expertise in surface modification techniques and analytical characterization.

or at +1-408-352-2808

Responsibilities:

• Define requirements, develop camera, and network projects from concept to pre-production.
• Develop complex, high-speed, innovative FPGA-based designs including design, verification, simulations, synthesis, place and route, and timing closure.
• Bring-up and debug FPGA, PCB, and camera systems.
• Write engineering documentation for internal release.
• Collaborate with team members to solve complex camera and networking challenges.

Qualifications:

• Experience with designs using SerDes for high-speed communication.
• Previous experience with imaging camera and networking systems desirable.
• Experience with image processing implementations in hardware.
• Hands-on experience with lab bring-up and camera test setups.
• Good collaborator with strong interpersonal skills
• Proficient with System Verilog and Vivado for design, build, and verification. UVM a plus.
• Experience with embedded software and Linux a plus.
• Experience with machine learning implementations in hardware a plus.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years

or at +1-408-352-2808

. Please ensure that you have searched

1. Demonstrated ability in developing machine learning algorithms for computer vision, image processing, and image classification problems.

2. Led teams to develop products with performance and cost constraints that required complex tradeoffs to be considered and analyzed.

3. Knowledgeable in the latest advances and tools in the AI industry.

4. Familiar with different statistical methods to analyze vast and complex datasets to explain trends, patterns, and correlations within the data.

5. Experience with Deep Learning Frameworks like PyTorch or TensorFlow.

6. Experience with C/C++.

7. Excellent verbal and written communication skills.

8. Creativity and curiosity for solving complex problems.

9. Understanding of semiconductor manufacturing industry and process control.

10. PhD in Computer Science, Electrical Engineering, or related fields with 15 years of experience or MS in the same fields with 20 years of experience.

Minimum Qualifications

1. Demonstrated ability in developing machine learning algorithms for computer vision, image processing, and image classification problems.

2. Led teams to develop products with performance and cost constraints that required sophisticated tradeoffs to be considered and analyzed.

3. Knowledgeable in the latest advances and tools in the AI industry.

4. Familiar with different statistical methods to analyze vast and various datasets to explain trends, patterns, and correlations within the data.

5. Experience with Deep Learning Frameworks like PyTorch or TensorFlow.

6. Experience with C/C++.

7. Excellent verbal and written communication skills.

8. MS in Computer Science, Electrical Engineering, or related fields with 15 years of experience or BS in the same fields with 20 years of experience.

or at +1-408-352-2808