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Physics Simulation Python Jobs in Massachusetts (NOW HIRING)

Foundation EGI

ML Ops Engineer (Boston, MA)

Boston, MA · On-site

$110 - $140/hr

Experience in computer graphics or physics-based simulation. * Background in setting up Prometheus ... Expert-level Python and TypeScripts skills. * Experience with Docker, Kubernetes, Terraform, Google ...

Foundation EGI

ML Ops Engineer (Boston, MA)

Boston, MA · On-site +1

Experience in computer graphics or physics-based simulation. * Background in setting up Prometheus ... Expert-level Python and TypeScripts skills. * Experience with Docker, Kubernetes, Terraform, Google ...

Foundation EGI

Software Architect

Boston, MA · On-site

Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and ... Fluency in Python, TypeScript, and SQL. * Experience designing and implementing gRPC and Protobuf ...

Foundation EGI

Software Architect

Boston, MA

Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and ... Fluency in Python, TypeScript, and SQL. * Experience designing and implementing gRPC and Protobuf ...

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

C++ for scientific computing and Python (or similar) for scripting * Master degree or PhD in an ... Multi-physics simulations: including fluid-structure interaction and conjugate heat transfer

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

C++ for scientific computing and Python (or similar) for scripting * Master degree or PhD in an ... Multi-physics simulations: including fluid-structure interaction and conjugate heat transfer

Flexcompute Inc.

CFD Solver Developer

Watertown, MA · On-site

C++ for scientific computing and Python (or similar) for scripting * Master degree or PhD in an ... Multi-physics simulations: including fluid-structure interaction and conjugate heat transfer

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Physics Simulation Python information

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 Massachusetts?

For Physics Simulation Python jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Physics Simulation Python jobs in Massachusetts look for?

The top searched job categories for Physics Simulation Python jobs in Massachusetts are:

What cities in Massachusetts are hiring for Physics Simulation Python jobs?

Cities in Massachusetts with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you
Infographic showing various Physics Simulation Python job openings in Massachusetts as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution.

ML Ops Engineer (Boston, MA)

Foundation EGI

Boston, MA • On-site

$110 - $140/hr

Other

Re-posted 23 days ago

Job description

Requirements
  • Architect, build, and operate end-to-end ML pipelines for training, validation and deployment on Google Cloud and AWS.
  • Define, instrument, and maintain logging, monitoring, and alerting for model performance and data drift.
  • Automate CI/CD for ML artifacts and infrastructure using GitHub Actions or equivalent.
  • Collaborate with cross-functional teams, including frontend engineers, backend engineers, research engineers, and infrastructure engineers.
  • Write clean, well-documented, fast, and maintainable code.
  • Help ensure our systems have high availability and performance.
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.
About Us

We are an MIT-born, venture-backed Silicon Valley startup building a real-life 'Jarvis'—an AI Copilot for design and manufacturing. Our goal is to utilize advanced AI, physics simulation, and computer graphics to reduce costs and improve engineering productivity across all steps of the design and manufacturing process.

What we're looking for
  • BS in Computer Science or a related field.
  • 5+ years of experience as an AI/ML Ops, DevOps, Infrastructure Engineer or equivalent.
  • Expert-level Python and TypeScripts skills.
  • Experience with Docker, Kubernetes, Terraform, Google Cloud and AWS.
  • Deep understanding of machine learning models, including LLMs.
  • Experience designing and maintaining CI/CD pipelines to fine-tune or train ML models.
  • Excellent written and verbal communication skills.
Bonus Points
  • Experience in computer graphics or physics-based simulation.
  • Background in setting up Prometheus/Grafana, ELK, or similar monitoring stacks.
  • Experience with Vertex AI.
  • Experience working with custom Domain-Specific Languages.
Our tech stack
  • Google Cloud, AWS
  • Python, TypeScript
  • Protobuf, gRPC
  • Next.JS, React.JS
  • GitHub Actions
  • Docker, Kubernetes, Spinnaker
  • PostgreSQL
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