Algorithm Engineer

Employment Type

: Full-Time


: Engineering

LHP Engineering Solutions is looking for an Algorithms Engineer to work in Metro Detroit.


Develop the next generation of algorithms for semiconductor device and thin film metrology. The position requires a proven innovative track record in the related fields of algorithm development, statistical data analysis and signal processing, image analysis and machine learning. The candidate should have a background in engineering/math/physics and be comfortable and conversant in a range of disciplines from optics, information and noise analysis, solving optimization problems (forward and inverse).

The Algorithms Scientist will produce mathematical formulations, develop modeling tools, and perform data analysis and capability predictions on a variety of metrology technologies. The role will closely interface with other members of Advanced Development, Engineering, Algorithm and Application teams. The candidate should demonstrate ability to develop complex data analysis algorithms, software codes that can be used by others, understanding of experimental data analysis, and ability to guide others.


Education or experience must include:

  1. Designing, developing, modifying and diagnosing complex algorithms, utilizing C#, C++, R, Python, Matlab or other tools and languages;
  2. Ability to invent, develop and implement new algorithms and ideas
  3. Statistical analysis, modeling and optimization methods
  4. Experience with machine learning, Python, Tensorflow
  5. Signal and image processing, computer vision and machine learning
  6. Hands-on experience in object-oriented and functional programming
  7. Hands-on experience with products such as JMP, R, Python, Matlab is a plus
  8. Excellent written and verbal communication skills.
  9. Ability to work both independently and in a team environment.
  10. Semiconductor optical metrology experience preferred.

Minimum Qualifications

MS degree

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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