דרושים Senior Director – Algorithm/hpc Leader Bbp ב-Kla ב-United States, Milpitas

Key responsibilities include:

• Lead the management to establish operating model, performance measurements, develop and release infrastructure solutions, drive optimize processes and organizational change across PSO organization to continuously improve the Quality, Efficiency and Productivity of the operations.

• Lead the resource allocation and planning for NPI execution per the division product roadmap. Define and drive execution of NPI work. Define scope of service requirements.

• Establish infrastructure, support plans, resources, and processes to lead the transition of PLC 6b install base into PLC 7 sustaining support.

• Top Service owner for a KLA product line, representing the service function on the staff of divisional GM.

• Play key role in the serviceability, design development, launch, and ramp of new products, to ensure Service is “ready to serve” and customer support needs are met; significantly impacting KLA Services business opportunities.

• Support the team to ensure the product meets performance in the following areas: MTBI, MTBF, cost of service, availability, measurement sensitivity and stability.

• Address the needs of released products: This includes defining CIP programs to achieve the improvements and execution of product design & performance, KLA Services Certification strategies, documentation.

• Ensure tool serviceability, and performance continue to meet customer expectations in areas such as uptime, Cost of Ownership, performance, and matching throughout the product life cycle.

• Drive directly or strongly influence all aspects of the Service Business for a key product line.

• Collaborate with KLA service teams to develop strategies to improve service cost and business opportunities; define plans to develop service products to improve revenue.

• Work with KLA Regional Service Directors to address site specific product and service performance, and customer; create field get well plans to recover KLA tool performance, service skills, and talent to support product line.

Preferred Qualifications

• 10 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree experience.

• Experience with Customer Relationship Management, quality control systems, and methodology (DMAIC, Six Sigma)

• A sound understanding of how semiconductor systems are developed and supported.

• Ability or capability to influence and drive continuous improvement improve products, people, and processes.

• Development of Organizations and service business.

• Develop and Drive standard methodologies by ensuring both process consistency, standardization, and continuous improvement across the organization.

• Drive continuous improvements parts projects to increase serviceability, quality, reliability, and process.

• Ability to travel => 25%

• Good presentation skills.

• Good customer leadership skills.

Minimum Qualifications

• Master's Level Degree with a minimum of 10 years of relevant experience OR

• Bachelor's Level Degree with a miniumu of 12 years of relevant experience

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

:• Design and implement sophisticated algorithms for image segmentation, classification, and defect detection tailored to our inspection systems
• Translate complex engineering challenges into generalized mathematical models and develop custom algorithmic solutions
Innovation and Execution
• Drive innovation by proposing novel approaches and writing production-level code
• Support customer deployments and ensure seamless integration of algorithmic solutions

• Operate independently while partnering with hardware teams to optimize image quality and manage error budgets based on algorithmic performance

• Develop scalable, high-performance software solutions in C++ using object-oriented programming techniques

:

• Strong foundation in image and signal processing
• Proficient in algorithm development using C++ and Python in Unix/Linux environments
• Experience with linear and non-linear optimization techniques
• Familiarity with machine learning methods for imaging applications

Soft Skills

• Outstanding problem-solving abilities and strong interpersonal skills

Minimum Qualifications

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

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