Senior Algorithm Engineering Manager jobs at Kla in United States, Milpitas

In this role, you’ll be at the heart of breakthrough product development, guiding a talented team of systems engineers and collaborating across optics, electronics, mechanics, software, and algorithms. You’ll work closely with division leadership, external partners, and customers to deliver solutions that push boundaries and exceed expectations.

What You’ll Own:

• Lead and mentor a team of systems design engineers responsible for integrating hardware and software on complex eBeam tools.
• Drive cross-functional collaboration and lead design reviews to ensure optimal system architecture.
• Spearhead next-generation product development with bold, strategic thinking and a focus on delivering winning solutions.
• Oversee prototype testing, risk assessments, and mitigation strategies that guide product lifecycle decisions.
• Support customer escalations with technical expertise and a commitment to excellence.
• Champion onboarding and development for new systems engineers, fostering a culture of growth and innovation.

Minimum Qualifications

• Deep expertise in electron optics or SEM technology, with strong foundations in physics, mathematics, and computational skills.
• 7+ years of experience in systems engineering for complex semiconductor systems.
• 3+ years of proven success in people management and team leadership.
• Excellent communication and interpersonal skills to lead across functions and engage with global stakeholders.
• Willingness to travel globally up to 15%.

or at +1-408-352-2808

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Key responsibilities include:

• Evaluating existing and emerging markets

• Leading product lifecycle planning and customer requirements analysis

• Defining product value propositions and pricing strategies

• Driving marketing campaigns to boost product adoption and market penetration

• Conducting competitive analysis and developing strategic responses to Next Best Alternatives

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

Experience should include the following:

• Product Marketing in multi-disciplinary technology product team

• Advanced packaging process knowledge

• Delivering technical presentations;

• Semiconductor customer engagements;

• Ability to perform market analysis by compiling customer information and industry reports.

• Applications development in metrology or inspection;

• Competition analysis;

• Preparation of executive summaries;

• Willingness to travel for business up to 30% of the time.

Other qualities

• Storytelling with clear and compelling messages and strong content

• Strong communication skills and ability to conduct effective presentations under pressure

• Analytical skills, including ability to draw business conclusions from complex datasets.

• Ability to successfully drive projects with minimal intervention

• Well-organized with attention to detail.

• Hardworking, with ability & desire to work in a team environment.

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

What You’ll Do:

• Champion programs from concept to high-volume manufacturing and beyond.
• Build and execute strategic project plans that align scope, timelines, and resources.
• Collaborate across engineering, manufacturing, service, and marketing to drive smart decisions and impactful trade-offs.
• Own every aspect of your program—engineering, service, install, and manufacturing.
• Provide expert guidance in operational processes and technical leadership to ensure top-tier outcomes.
• Cultivate strong customer relationships and deliver solutions that exceed expectations.
• Anticipate risks and implement proactive strategies to keep projects on track.
• Lead field engagement during beta phases, aligning closely with business units and customers.
• Translate divisional goals into actionable product roadmaps.

What You Bring:

• PhD with 3+ years, Master’s with 6+ years, or Bachelor’s with 8+ years of relevant experience.
• Proven success in developing complex systems integrating optics, electronics, motion, algorithms, and software.
• Strong leadership in matrixed environments and a collaborative mindset.
• Excellent communication skills—both written and verbal.
• Willingness to travel globally up to 15%.

Minimum Qualifications

Doctorate (Academic) Degree and related work experience of 5 years; Master's Level Degree and related work experience of 8 years; Bachelor's Level Degree and related work experience of 12 years

or at +1-408-352-2808

. Please ensure that you have searched

:• 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