Algorithm Engineer - High-Performance Geometry & Optimization

Reposted One Month Ago
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Yavne, ISR
In-Office
Senior level
Hardware
The Role
Design, implement, and optimize production-grade algorithms and computational geometry infrastructures for Frontline's CAM products. Own full development cycle, improve performance and scalability, integrate solutions into large-scale software, troubleshoot complex issues, and collaborate with cross-functional teams to deliver high-performance algorithmic solutions for PCB manufacturing.
Summary Generated by Built In

To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.


Group/Division

The Semiconductor Products and Customers (Semi PC) business unit designs, builds and sells KLA’s product portfolio to help chip manufacturers meet high-quality standards to enable technologies like AI, data centers, automotive and electronic devices. Our inspection, metrology, and analytics systems detect and monitor defects across logic and memory chips, specialty semiconductors, wafers, reticles, advanced packaging, process equipment and materials. We also develop technologies for specialty processes, IC substrates, and PCB manufacturing, including etch and deposition, component inspection, and imaging and analytics.

What You'll Do

In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.


Job Description – Algorithms Engineer

Frontline is an established leader in the field of CAM software for PCB manufacturing.

We are looking for an experienced Algorithms Engineer to join our Algorithms team.

The role focuses on the design, development, and maintenance of mathematical infrastructures and algorithmic applications that power Frontline's products.

Responsibilities include developing production-grade algorithms, optimizing complex computational processes, and integrating solutions into large-scale commercial software systems.

To succeed in this role, you need strong software engineering skills, solid algorithmic thinking, and the ability to translate complex mathematical concepts into robust and maintainable products.

Your ultimate goal will be to design and build high-performance algorithmic solutions that seamlessly integrate into Frontline's CAM products.

Responsibilities

  • Design and implement algorithmic solutions according to product requirements.
  • Take full ownership of the development cycle, from concept and design through implementation, testing, and integration into production systems.
  • Develop and maintain mathematical and computational geometry infrastructures used across Frontline products.
  • Analyze performance bottlenecks and optimize algorithms for scalability, memory consumption, and execution time.
  • Collaborate with software engineers, architects, product managers, and domain experts to deliver high-quality solutions.
  • Participate in technical design discussions and architecture reviews.
  • Investigate and evaluate new algorithms, techniques, and technologies relevant to Frontline products.
  • Support troubleshooting and root-cause analysis of complex product issues.
  • Work as a team member for optimal achievement of project goals.
  • Attain a high degree of knowledge in the domain of PCB manufacturing.

Minimum Qualifications

Requirements

  • B.Sc. in Computer Science, Mathematics, Software Engineering, or a related field. Master's degree or higher is a plus.
  • At least 5 years of proven experience in algorithm development within a software product company.
  • Strong experience designing and implementing algorithms from concept through production deployment.
  • At least 5 years of experience in C/C++ development.
  • Deep understanding of data structures, algorithms, and software architecture.
  • Strong analytical, mathematical, and problem-solving skills.
  • Experience working with large-scale software systems and code bases.
  • Excellent communication skills and ability to work effectively in a team.
  • Good written and verbal English.

Advantages

  • Strong background in Computational Geometry and geometric algorithms.
  • Experience in graph algorithms, optimization techniques, and mathematical modeling.
  • Experience with parallel computing, multicore optimization, and performance-critical applications.
  • Hands-on experience with GPU acceleration technologies such as CUDA.
  • Knowledge of Machine Learning or Artificial Intelligence technologies and their integration into commercial products.
  • Experience developing high-performance native applications in Windows and Linux environments.
  • Experience working with large-scale software architectures and long-life production code bases.
  • Advanced academic degree (M.Sc. or Ph.D.) in a relevant field.

About KLA

We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.


Use of AI Statement 

At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.


We offer a competitive, family friendly total rewards package. We design our programs to reflect our commitment to an inclusive environment, while ensuring we provide benefits that meet the diverse needs of our employees.


KLA is proud to be an equal opportunity employer.


Skills Required

  • B.Sc. in Computer Science, Mathematics, Software Engineering, or a related field
  • Master's degree or higher (M.Sc. or Ph.D.)
  • At least 5 years of proven experience in algorithm development within a software product company
  • Strong experience designing and implementing algorithms from concept through production deployment
  • At least 5 years of experience in C/C++ development
  • Deep understanding of data structures, algorithms, and software architecture
  • Strong analytical, mathematical, and problem-solving skills
  • Experience working with large-scale software systems and code bases
  • Excellent communication skills and ability to work effectively in a team
  • Good written and verbal English
  • Strong background in computational geometry and geometric algorithms
  • Experience in graph algorithms, optimization techniques, and mathematical modeling
  • Experience with parallel computing, multicore optimization, and performance-critical applications
  • Hands-on experience with GPU acceleration technologies such as CUDA
  • Knowledge of Machine Learning or Artificial Intelligence technologies and their integration into commercial products
  • Experience developing high-performance native applications in Windows and Linux environments

KLA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KLA and has not been reviewed or approved by KLA.

  • Retirement Support — U.S. programs include a formulaic 401(k) employer match with clearly described plan designs in company materials. Consistent plan structure and employer matching signal strong support for long‑term savings.
  • Equity Value & Accessibility — A broad base of employees is eligible for RSUs and can participate in an ESPP, extending ownership beyond executives. Company materials position equity as a core component of total compensation.
  • Strong & Reliable Incentives — A quarterly profit‑sharing program and performance bonuses are outlined in filings, providing regular variable pay opportunities. These incentives complement base pay and equity to lift overall earnings in strong periods.

KLA Insights

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The Company
HQ: Milpitas, CA
10,001 Employees

What We Do

KLA develops industry-leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process-enabling solutions for manufacturing wafers and reticles. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward.

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