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Senior Systems Engineer

Onto Innovation · Milpitas-CA · On-site

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About Onto Innovation

Onto Innovation is a leader in semiconductor manufacturing software & solutions that solve the most difficult yield, device performance, quality, & reliability issues.

About the role

System Integration & Design: Lead architecture, integration, and verification of complex optical or electron-beam imaging systems. Requirements Management: Define, document, and manage system requirements and interfaces Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Education: Master’s or Ph.D. in Physics, Electrical Engineering, Mechanical Engineering, or Applied Optics
  • Experience: 3+ years (3–15+ for senior roles) in complex system development, preferably within the semiconductor capital equipment industry
  • Technical Skills: Strong understanding of optical systems, control engineering, and software/hardware integration
  • Tools: Experience with data analysis tools (Python, MATLAB, JMP, LabVIEW)
  • Why Join Onto Innovation?
More about this role

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient.

System Integration & Design: Lead architecture, integration, and verification of complex optical or electron-beam imaging systems.

Requirements Management: Define, document, and manage system requirements and interfaces

Performance Optimization: Conduct error budgeting, tolerance analysis, and root cause analysis (RCA) to meet imaging performance targets.

Data Analysis & Troubleshooting: Analyze large data sets from system tests, simulation, and field data using Python, MATLAB, or...

Read the full posting on Onto Innovation's site ↗

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