Lead Scientific Engineer\\Programmer

KLA Industries; Seattle (WA); On-site; USD 140,000 - 190,000; Full time

Job summary

KLA Industries in Seattle seeks a highly qualified candidate to advance modeling and simulation capabilities in water resources and environmental systems. You will own numerical and algorithmic development, build and verify models, and collaborate with engineering to implement improvements.

Strong background in applied math, PDEs, and machine learning will support modernization efforts and rapid advancement of the framework.

Qualifications

• Master's or PhD in science or engineering with outstanding academic performance.
• Broad experience with applied math and numerical methods for solving science and engineering problems.

Responsibilities

• Own numerical and algorithmic development across modeling projects.
• Build and verify models validating against real data.
• Document methodologies and transfer knowledge to the team.
• Collaborate with software engineers to integrate new numerical capabilities into the framework.
• Identify opportunities to modernize numerical infrastructure using ML.

Skills

C++ programming

Numerical methods

Machine learning

Communication skills

Education

Master's or PhD

Tools

MATLAB

R

Tableau

Job description

Fast Growing Leader in dynamic simulation software for water resources, environmental systems and complex engineering problems.

This position will have a direct impact in developing new modeling capabilities to enhance our state-of-the-art modeling and simulation framework.

Job Scope:

• Numerical & Algorithmic Ownership
• Model Building & Verification .
• Documentation & Knowledge Transfer
• Collaboration & Support
  • Work alongside the software engineering team to integrate new or improved numerical capabilities into the br
• Partner with the founding engineer to formalize existing modeling, QA, and support methodology.
• Growth & Modernization
  • Apply machine learning to accelerate, approximate, or extend traditional numerical simulation methods.
  • Help identify opportunities to modernize existing algorithmic infrastructure.

Requirements

• Mastersor PhD level in science or engineering, with outstanding academic performance.
• Broad experience with applied math and numerical methods for solving science and engineering problems(e.g.,matrix algebra, numerical methods for solving partial differential equations).
• Earth sciences or civil engineering background, preferably including contaminant transport modeling.
• Extensive C++ programming experience, ideally in scientific or engineering applications; familiarity with commercial or open-source numerical libraries and frameworks is a plus.
• Proven ability to design and implement practical numerical solutions to real-world problems.
• Good communications skills,must write effectively and enjoy interacting with other team members.
• Experience developing and supporting Windows desktop applications is a plus, as is hands-on experience with data science tools such as MATLAB, R, or Tableau.

Experience applying AI/ML techniques (e.g., machine learning models, LLM-based tools, or AI-assisted development) to scientific or engineering software is