Seeking a Software Engineer to join the TEM Semiconductor value stream, driving the development of innovative 4D-STEM and Image Processing solutions for semiconductor metrology workflows. The role involves high-performance software development in Python, C#, and Rust.
Responsibilities
Design, develop, test, and maintain robust, scalable, and high-performance software solutions for advanced 4D-STEM applications.
Develop image-processing software and libraries to support advanced microscopy and metrology applications.
Develop scientific and computational software using Python, contributing to data acquisition, processing, analysis, and visualization workflows.
Write and maintain high-quality unit tests, integration tests, and system-level component tests to ensure software reliability and performance.
Participate in code reviews, promoting software quality, maintainability, and adherence to engineering best practices.
Looking for an experienced and analytically sharp Senior Full-Stack Engineer to join the team, working at the intersection of high-fidelity simulation, modern web technologies, and reliable software delivery to deliver robust, web-based simulation software.
Responsibilities
Design, develop, and maintain a full-stack web-based simulation application from backend computation to user-facing interfaces
Take end-to-end ownership of features, from architecture and implementation through to deployment and monitoring in cloud environments
Ensure the accuracy, reliability, and consistency of simulation outputs, applying rigorous testing and validation practices commensurate with the commercial stakes involved
Collaborate across disciplines, working closely with domain experts, simulation specialists, and product stakeholders to translate complex requirements into robust software solutions
Champion engineering best practices across the codebase, including code quality, observability, and deployment hygiene
As a Computational Imaging and Metrology Engineering Intern, you will support product engineering activities focused on simulation, performance analysis, and technology development.
Responsibilities
Simulate imaging and metrology performance across a variety of tool configurations and operating conditions.
Design and execute studies to evaluate system performance, investigate technical challenges, and support product improvements.
Analyze simulation results and engineering data to identify trends, root causes, and optimization opportunities.
Develop key performance indicators (KPIs) and analytical methods to measure system effectiveness.
Support investigations related to customer-reported technical challenges and performance questions.
Requirements
Currently pursuing a bachelor's degree, master's degree, or PhD in Physics, Materials Science and Engineering, Electrical Engineering, Applied Physics, or a related technical discipline.
As a Global Navigation Satellite System (GNSS) Evaluation & Field Test Intern, you will be on the front lines of testing and validating our location services.
Responsibilities
Design and evaluate next-generation location technologies
Combine high-precision GNSS and sensor fusion theory with rigorous real-world field evaluations
Analyze performance and uncover critical user-experience gaps
Requirements
Currently enrolled in an M.S. or Ph.D. program in Communication Engineering, Electrical Engineering, Telecommunications or a related field
Nice to have: Capturing, analyzing, or configuring raw GNSS/Sensor logs on Android devices (via GnssLogger, ADB, or engineering tools)
Nice to have: Experience with tactical-grade reference systems (NovAtel SPAN, Oxford OXTS, U-blox) or RTK base stations for field ground truth collection
Nice to have: Familiarity with C++ for high-performance algorithm verification or test automation tooling
Conduct mentored research on the development and experimental validation of AI-guided design-build-test-learn (DBTL) workflows for plasmonic sensing and flexible bioelectronics.
Compensation
65,000 - 75,000
Responsibilities
Investigate experimental methods connecting materials and device fabrication with calibrated optical, electrical, electrochemical, or multimodal measurements
Perform synchronized acquisition, reliability assessment, and uncertainty-aware model validation
Maintain reproducible experiment records
Contribute to validated materials-, geometry-, interface-, and process-to-sensing relationships
Work on digital-twin validation and machine-readable provenance
In this role, you will assist in developing computational methods for flow and thermal simulations, focusing on scientific computing, CFD, FEA, and machine learning.
Compensation
The salary range for this role is $25.00-40.00/hr for Illinois based applicants.
Responsibilities
Perform multiphase CFD simulations for motor cooling using in-house/commercial tools.
Develop in-house multiphase CFD solvers.
Conduct conjugate heat transfer FE analysis of motor using in-house/commercial tools.
Develop in-house FE solvers for thermal simulations.
Develop reduced-order models for physics-based simulations of flow and thermal systems.
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