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Physics Simulation Python Jobs in Rolling Meadows, IL

Digital Modem Engineer

Chicago, IL · On-site

$150K - $250K/yr

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... Fixed point design, simulation and analysis * Experience with Python, C/C++ and/or Matlab for ...

New

Hardware Machine Learning Engineer

Chicago, IL · On-site

$127K - $167K/yr

Proficiency in Python, C++, or similar languages for tooling, testing, and simulation * Strong ... Advanced degree (MS or PhD) in EE, CS, Physics, or related field, or equivalent depth through ...

CAE Engineer

Lisle, IL · On-site

$80K - $140K/yr

Proficiency in Python scripting for data processing, automation, or simulation integration. * Good ... Familiarity with machine learning and deep learning techniques, including physics-informed neural ...

We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... Python development on Linux platform * Strong understanding of data structures and threading models

Showing results 21-40

Physics Simulation Python information

See Rolling Meadows, IL salary details

$11.1K

$68K

$122.2K

How much do physics simulation python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for physics simulation python in Rolling Meadows, IL is $67,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,300.00 and $80,000.00 per year, depending on experience, location, and employer.

What is a physics simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

What are the key skills and qualifications needed to thrive as a physics simulation Python developer?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in physics simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

What are popular job titles related to Physics Simulation Python jobs in Rolling Meadows, IL?

For Physics Simulation Python jobs in Rolling Meadows, IL, the most frequently searched job titles are:

What job categories do people searching Physics Simulation Python jobs in Rolling Meadows, IL look for?

The top searched job categories for Physics Simulation Python jobs in Rolling Meadows, IL are:

What cities near Rolling Meadows, IL are hiring for Physics Simulation Python jobs?

Cities near Rolling Meadows, IL with the most Physics Simulation Python job openings:

Silicon Validation, Test & Characterization Engineer (title will reflect experience)

Eliyan

Mundelein, IL • On-site

Full-time

Re-posted 5 days ago


Job description

Eliyan is building NuLink, a proprietary die-to-die chiplet interconnect fabric purpose-built for AI infrastructure at hyperscale.  We are seeking a highly skilled engineer to execute high speed silicon validation efforts, ensuring our silicon platforms deliver industry-leading performance, quality, and reliability. You will work with a cross-functional team of industry experts that operate from first principles, innovate, and push the envelope to create high-volume and high-performance manufacturable products. We offer a fun work environment with excellent benefits.

Position Overview:

As a Silicon Validation Engineer, you will be a technical owner to drive early silicon bring-up, post-silicon validation strategy, and hands-on execution for high-speed interconnects such as multi-Gbps SerDes and PHYs. You will work closely with design, architecture, and systems teams to ensure seamless bring-up, thorough validation coverage, and successful productization of complex silicon solutions.

Key Responsibilities:
  • Execute early silicon bring-up activities, including system initialization, validation infrastructure development, and test content creation for high-speed interfaces.
  • Define and drive comprehensive post-silicon validation plans for multi-Gbps SerDes, PHYs, and associated interconnect technologies (e.g., PCIe, CXL, Ethernet, DDR).
  • Develop robust automation frameworks and test scripts (e.g., Python, TCL) to improve validation efficiency and coverage.
  • Perform advanced electrical and protocol-level validation, including BER testing, jitter and eye diagram analysis, compliance testing, and margin assessments.
  • Correlate lab measurements with pre-silicon simulations and design expectations; drive debug and closure on discrepancies, identify and root-cause silicon, package, and board-level issues.
  • Work cross-functionally with design, architecture, system, and product engineering teams to optimize validation coverage and drive design-for-validation improvements.
  • Document validation results, issues, and recommendations in detailed technical reports and communicate findings clearly to engineering and executive leadership.
  • Support manufacturing and test engineering teams with validation methodologies to enable production ramp and customer readiness.
Qualifications:
  • 3+ years of experience 
  • Expertise in chip bring-up, post-silicon validation, and debug of high-speed interconnects
  • (e.g., PCIe, CXL, Ethernet, DDR, SerDes).
  • Hands-on experience with high-speed lab equipment (high-bandwidth oscilloscopes, BERT, DCA, VNAs, TDRs) and associated validation methodologies.
  • Fundamentals in signal integrity (SI), power integrity (PI), clock architectures, analog and mixed-signal, high speed DAC and ADC, equalization (CTLE, DFE), and link training protocols.
  • Ability to correlate silicon measurements to design simulations and models and drive systematic debug.
  • Strong scripting and automation skills (Python preferred).
  • Experience in PCB/evaluation board validation is a plus.
  • Excellent analytical, communication, and leadership skills.
  • MS or PhD in electrical engineering, computer engineering, physics or related fields

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.