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Living In Computational Geometry Developer Jobs in Illinois

Rch

Research Computational Scientist II

Campus, IL · On-site

$132K - $164K/yr

This requires a multidisciplinary training in the computational and data sciences including ... Experience with SQL programming and data preprocessing for research studies are also required.

Tempus

Associate Director RWE, PharmaR&D

Chicago, IL

... in R, Python, and SQL, and respective packages for computational biology. * Strong understanding of cancer biology. * Strong peer-reviewed publication record. * Adherence to good software engineering ...

Lean Synergy Solutions

Software Engineer

Rockford, IL

$80K - $120K/yr

The ideal candidate is a strong C++ developer with excellent analytical skills and an interest in ... Solid understanding of: * 3D geometry * Vectors and transformations * Mathematical modeling

Bridgestone Americas, Inc

Lead NVH Engineer

Chicago, IL · On-site

$95K - $147K/yr

Job Category Engineering & Science Position Summary The Attribute Engineering Technology and ... Proficiency in computational methods, including Finite Element Analysis (FEA). * Proficiency in ...

Bridgestone

Lead NVH Engineer

Chicago, IL · On-site

$95K - $147K/yr

Job Category Engineering & Science Position Summary The Attribute Engineering Technology and ... Proficiency in computational methods, including Finite Element Analysis (FEA). * Proficiency in ...

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Living In Computational Geometry Developer information

What are the key skills and qualifications needed to thrive as a Computational Geometry Developer, and why are they important?

To thrive as a Computational Geometry Developer, you need strong mathematical proficiency, particularly in geometry and algorithms, along with a background in computer science or a related field. Familiarity with programming languages such as C++, Python, or Java, and experience using libraries like CGAL or Qhull, are typically required. Analytical thinking, problem-solving skills, and effective teamwork are crucial soft skills in this role. These competencies ensure the accurate development of geometric algorithms and the ability to collaborate on complex technical projects.

What does a Living In Computational Geometry Developer do?

A Living In Computational Geometry Developer specializes in designing, analyzing, and implementing algorithms and software that solve complex geometric problems, often in fields such as computer graphics, robotics, CAD, and geographic information systems. Their work involves working with data structures for points, lines, polygons, and other shapes, as well as optimizing computational efficiency for geometric queries and operations. They may also contribute to research, develop visualization tools, and collaborate with engineers and scientists to integrate geometric solutions into real-world applications.

What is the difference between Living In Computational Geometry Developer vs Living In Software Engineer?

AspectLiving In Computational Geometry DeveloperLiving In Software Engineer
Required CredentialsBachelor's or higher in Computer Science, Mathematics, or related field; knowledge of algorithms and geometryBachelor's or higher in Computer Science or related field; programming skills in various languages
Work EnvironmentSpecialized roles in tech, gaming, CAD, or GIS companiesBroad industry roles across tech, finance, healthcare, and more
Employer & Industry UsageUsed in industries requiring geometric computations and spatial dataWidely used across multiple industries for software development
Search & Comparison IntentPeople interested in geometric algorithms and spatial dataPeople exploring general software development careers

Living In Computational Geometry Developer focuses on geometric algorithms and spatial data, often in specialized industries, while Living In Software Engineer has a broader scope across various sectors. Both roles require programming skills and a computer science background, but their applications and industry focus differ.

What kinds of projects do Living In Computational Geometry Developers typically work on, and how do these projects impact collaboration with other teams?

Living In Computational Geometry Developers often work on projects involving the development of algorithms and software for modeling, analyzing, and visualizing geometric data. This role requires frequent collaboration with teams such as CAD engineers, simulation experts, and UI/UX designers to ensure that the computational geometry solutions integrate seamlessly with broader product requirements. Developers might also contribute to research initiatives, prototype new features, and optimize existing geometric processing pipelines. Effective communication and teamwork are key, as project success often depends on integrating complex geometry algorithms into multi-disciplinary applications.
What are popular job titles related to Living In Computational Geometry Developer jobs in Illinois? For Living In Computational Geometry Developer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Living In Computational Geometry Developer jobs in Illinois look for? The top searched job categories for Living In Computational Geometry Developer jobs in Illinois are:
What cities in Illinois are hiring for Living In Computational Geometry Developer jobs? Cities in Illinois with the most Living In Computational Geometry Developer job openings:
Living In Computational Geometry Developer jobs near you
Infographic showing various Living In Computational Geometry Developer job openings in Illinois as of July 2026, with employment types broken down into 40% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution.
Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Postdoctoral Appointee - Building Agentic AI Platform for X-ray Science

Argonne National Laboratory

Lemont, IL • On-site

$49K - $67K/yr

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Argonne National Laboratory is seeking a highly motivated Postdoctoral Researcher to join the X-ray Science Division. The successful candidate will develop an AI-enabled platform for X-ray absorption spectroscopy, working with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Responsibilities:
• Develop an AI-enabled platform for X-ray absorption spectroscopy by integrating LLMs, scientific machine learning, physics-aware workflows, and strong computational chemistry/electronic-structure expertise.
• Work with a multidisciplinary team to advance agentic AI tools for simulation, interpretation, data analysis, and scientific discovery.
Qualifications:
Required:
• A recent PhD (within 5 years) in computational chemistry, chemistry, materials science, physics, computational science, computer science, engineering, or a related field.
• Strong computational chemistry background in atomistic simulations, electronic-structure theory, DFT, structure-property relationships, and interpretation of simulation results.
• Hands-on experience with DFT or electronic-structure codes such as VASP, Quantum ESPRESSO, CP2K, ABINIT, GPAW, Gaussian, ORCA, Q-Chem, or related packages.
• Strong materials science or chemistry domain knowledge, such as bonding, defects, catalysis, batteries, solid-state chemistry, molecular systems, or related materials classes.
• Strong Python skills and familiarity with LLM APIs, agent frameworks, PyTorch, and the Python scientific stack (e.g., numpy, pandas, scikit-learn). Passion for front-end development and web-based applications, back-end services and API design (e.g., FastAPI, Flask), and deploying applications in local or cloud environments.
• Experience with complex scientific datasets and reproducible analysis or simulation workflows.
• Effective written and oral communications skills.
• Demonstrated ability to work both independently and collaboratively in a multidisciplinary environment.
• Commitment to Argonne's Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
Preferred:
• Experience with X-ray absorption spectroscopy theory, modelling, and interpretation, including XANES/EXAFS.
• Hands-on experience with XAS simulation packages such as FEFF, OCEAN, FDMNES, XSpectra, or exciting.
• Experience comparing simulated and experimental XAS/XAFS spectra.
• Experience with high-throughput spectroscopy workflows, HPC, synchrotron datasets, or physics-informed AI.
Company:
Argonne National Laboratory conducts researches in basic science, energy resources, and environmental management. Founded in 1946, the company is headquartered in Lemont, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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