Jobs · Engineering · California

HPC Software Engineer

KLA · Milpitas, CA · 3 days ago
Engineering$115k–$195k/yrFull-time

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

About the Role

The MACH team's mission is to collaborate with our customers to innovate technologies and solutions that detect and control highly complex process variations—at their source—rather than compensate for them at later stages of the manufacturing process. With over 40 years of semiconductor process control experience, chipmakers around the globe rely on KLA to ensure that their fabs ramp next-generation devices to volume production quickly and cost-effectively. Our MACH team develops leading-edge solutions for patterning process analytics and control technologies, thereby providing customers with critical insight at the feature level, field level and cross-wafer analysis. Our teams also develop advanced modeling simulation, data analytics and process control modeling technologies.

Responsibilities

  • Collaborate with customers to innovate technologies and solutions that detect and control highly complex process variations at their source.
  • Develop leading-edge solutions for patterning process analytics and control technologies.
  • Provide critical insight at the feature level, field level and cross-wafer analysis.
  • Develop advanced modeling simulation, data analytics and process control modeling technologies.

Requirements

  • Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years.

Qualifications

  • Minimum Qualifications: Master's Level Degree and 0 years related work experience; Bachelor's Level Degree and related work experience of 2 years.

Skills

  • Strong analytical and problem-solving skills.
  • Experience with semiconductor manufacturing processes.
  • Ability to work effectively in a team environment.
  • Excellent communication and interpersonal skills.

Benefits

  • Base Pay Range: $114,800.00 - $195,200.00 Annually
  • Primary Location: USA-CA-Milpitas-KLA
  • Additional benefits include but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Pay

  • Pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.

Schedule

  • Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training.

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