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What are the key skills and qualifications needed to thrive as a PhD-level Python Developer, and why are they important?

To thrive as a PhD-level Python Developer, you need advanced programming skills in Python, a relevant doctoral degree (typically in computer science, data science, or a related field), and a strong foundation in research methodologies. Experience with scientific computing libraries (such as NumPy, pandas, and SciPy), machine learning frameworks, and version control systems like Git is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work independently are crucial soft skills for this role. These skills and qualities are essential for driving innovative research, developing robust code, and effectively collaborating within interdisciplinary teams.

What types of collaborative projects might a PhD with Python expertise typically engage in within a research or industry setting?

PhDs with strong Python skills often work on multidisciplinary projects that require data analysis, machine learning, or automation. They may collaborate with domain experts, data scientists, and software engineers to design experiments, develop analytical tools, or build scalable research prototypes. Collaborative work frequently involves contributing to codebases, sharing insights through data visualization, and participating in regular meetings to align project goals. Such environments foster both technical growth and exposure to diverse fields, supporting career advancement through impactful contributions.

What is a PhD Python developer?

A PhD Python developer is a professional who has earned a Doctor of Philosophy (PhD) degree and specializes in using the Python programming language for research, data analysis, software development, or academic projects. These individuals often work in fields like data science, machine learning, scientific computing, or academia, where complex problem-solving and advanced analytical skills are required. Their expertise in both research methodologies and Python allows them to tackle sophisticated computational tasks and contribute to cutting-edge innovation.
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OPC / DFM Member of Technical Staff (MTS) Engineer

skywater

Minneapolis, MN

Other

Posted 3 days ago

Job description

SkyWater is hiring an OPC / DFM Member of Technical Staff (MTS) Engineer for our HQ site in Bloomington, MN.

This position will focus on Optical Proximity Correction (OPC) techniques and Design for Manufacturability (DFM) in a cross-functional setting in a customer-centered environment. The successful candidate will collaborate with a variety of teams around the business and will be responsible for developing new OPC models, CDSEM metrology specs, collaborating with tapeout engineers to create and or update mask/reticle tapeout flows and creating/updating training documents.

Key Responsibilities:

  • Collecting, ingesting, sanitizing and preparing large data sets for use in OPC model calibrations and correction recipe development. Creating and maintaining scripts for these steps is essential.
  • Calibrating OPC models, and developing correction recipe flows, and contour-based checks for new and existing 248nm and dry 193nm lithography processes.
  • Support customer requests through test structure creation and reticle builds.
  • Work closely with design, layout, and process engineers to understand and incorporate technology requirements into the OPC models and PDKs.

Required Qualifications:

  • Experience in developing OPC flows and supporting processes as follows: 12+ years experience with BS, 8+ years of experience with MS, 6+ years of experience with PhD
  • 7+ years of experience in development and implementation of model-based OPC methods at a semiconductor foundry working on nodes including 130nm or more advanced.
  • Excellent technical writing and verbal communication skills.
  • US Citizenship Required: This position will require the holding of or ability to obtain government security clearance which requires U.S Citizenship.

Preferred Qualifications:

  • Familiarity with Python or similar scripting language for handling large data sets composed of disparate data streams.
  • Experience using machine learning tools to sanitize large data sets, create code or utilities, and improve engineering workflows.
  • Calibre-based DRC and SVRF is preferred, along with KLayout and associated tools
  • Customer facing experience a plus.
  • Moderate familiarity with the Linux cli will be of value but not required.
  • Use of a modern revision control system such as local git vs github also will be of benefit.

Apply