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Physics Simulation Python Jobs in Utah (NOW HIRING)

Senior Machine Learning Scientist

Salt Lake City, UT · On-site

$88.50K - $121K/yr

We build systems that can learn from sparse and noisy data, emulate expensive physics simulations ... Expertise in python and modern ML tooling (PyTorch preferred). Track record of taking models from ...

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

We build systems that can learn from sparse and noisy data, emulate expensive physics simulations ... Expertise in python and modern ML tooling (PyTorch preferred). Track record of taking models from ...

Senior Machine Learning Scientist

Salt Lake City, UT · On-site +1

$88.50K - $121K/yr

We build systems that can learn from sparse and noisy data, emulate expensive physics simulations ... Expertise in python and modern ML tooling (PyTorch preferred). Track record of taking models from ...

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Physics Simulation Python information

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

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 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 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 Utah? For Physics Simulation Python jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Utah look for? The top searched job categories for Physics Simulation Python jobs in Utah are:
What cities in Utah are hiring for Physics Simulation Python jobs? Cities in Utah with the most Physics Simulation Python job openings:
Simulation Engineer

Simulation Engineer

OSTEOCENTRIC TECHNOLOGIES INC

Logan, UT • On-site

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

At OsteoCentric Technologies, simulation isn't a support function, it's central to how we design and validate life-changing industrial products with our platform technology. As our Simulation Engineer, you'll own the full analysis lifecycle: building complex Ansys models, correlating results against physical test data, driving design optimization, and presenting findings that directly shape product decisions. If you want your simulation work to matter, this is that role.

This role is located on-site in Logan, UT. Relocation assistance is available for the right candidate.

What You'll Do:

  • Develop, set up, and execute simulation models using Ansys Mechanical, Ansys Motion, Ansys LS-DYNA, or Ansys optiSLang, depending on project requirements.
  • Perform finite element analysis (FEA) for structural, thermal, and/or dynamic simulations, and provide insights for design improvements.
  • Collaborate with design, R&D, and product development teams to define simulation requirements and translate them into functional models.
  • Analyze and interpret simulation results, generating comprehensive reports to inform engineering and design decisions.
  • Conduct sensitivity and optimization studies using Ansys tools to ensure robustness and reliability in product design.
  • Troubleshoot and validate models to ensure accuracy and alignment with real-world testing and performance.
  • Participate in product testing and validation to correlate simulation data with physical data.
  • Stay current with advances in simulation technology and incorporate new methodologies to enhance simulation capabilities.
  • Prepare, deliver, and support technical presentations, publications, and IP filings based on the learnings from simulations, for both internal and external audiences.
  • Serve as simulation Subject Matter Expert (SME): train team members, administer licenses and subscriptions, and recommend appropriate hardware.
  • Perform special projects and other duties as assigned.

Required Skills/Abilities:

  • Strong understanding of finite element analysis (FEA) and dynamic modeling principles.
  • Proficiency in developing, validating, and optimizing complex simulation models.
  • Familiarity with multi-physics simulation, particularly structural, thermal, and/or dynamic analyses.
  • Knowledge of scripting languages (e.g., Python) and familiarity with CAD software (e.g. SolidWorks).
  • Strong analytical, problem-solving, and decision-making abilities.
  • Excellent verbal and written communication skills, with the ability to create clear and actionable reports.
  • Collaborative team player with a proactive, self-driven work ethic.

Minimum Qualifications:

  • Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, or Biomedical Engineering (with Mechanical concentration) from an accredited institution. Graduate degrees and certificates are preferred.
  • Minimum of 3 years of experience in engineering simulation, specifically with Ansys tools.
  • Deep, hands-on expertise in at least one Ansys platform (Mechanical, Motion, LS-DYNA, or optiSLang) with the ability to build, validate, and troubleshoot complex models independently. Experience with additional Ansys tools is a plus, not a requirement.
  • Ansys certification/credentials preferred.

About Us:

UnifiMI Industrial was founded in 2024 and is a wholly-owned subsidiary of OsteoCentric Technologies. OsteoCentric was founded in 2015 to design, develop and innovate new advanced medical device technologies. Our flagship UnifiMI technologies have revolutionized the implant to bone interface utilizing both patented minimally invasive bone preparation technology and unique next-generation thread geometries. Our goal is to leverage MIS technology to significantly improve and accelerate a patient’s path to recovery. Our two state-of-the-art global innovation headquarters are located in Austin, Texas and Logan, Utah.

Fun facts about us:

  • 110+ patents globally
  • 100,000+ surgical implants used
  • Devices in 90+ level one trauma centers
  • 23 FDA Clearances and counting
  • 14 Commercialized Products
  • And this is just the beginning!

Compensation: $100,000-$150,000, commensurate with experience. We're committed to paying competitively for the right expertise.

Benefits:

  • Significant employer contributions to Health, Vision, and Dental plans
  • A fully employer-sponsored life insurance plan
  • Voluntary: Additional Life/AD&D Insurance, Long Term Disability, Short-Term Disability, Critical Illness, and Hospital Indemnity
  • 401(k) Plan
  • 15 days of Paid Time Off (PTO)
  • 8 Holidays + 2 Floating Holidays of your choice
  • Employee recognition and development

Disclaimers:

  • We do not accept applications from third-party recruiters or staffing agencies.
  • At this time, we are unable to sponsor work visas. Applicants must have authorization to work in the United States without sponsorship.