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Remote Monte Carlo Simulation Jobs in Boston, MA

Draper

Senior Navigation Analysis Engineer

Cambridge, MA · On-site +1

$82K - $220K/yr

... and Monte-Carlo simulations. In addition to above skillsets, candidate must have demonstrated technical leadership experience as a primary contributor of navigation software and algorithms working ...

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Remote Monte Carlo Simulation information

See Boston, MA salary details

$11.9K

$73.4K

$132K

How much do remote monte carlo simulation jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote monte carlo simulation in Boston, MA is $73,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,800.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a remote Monte Carlo simulation?

A Remote Monte Carlo Simulation job involves using probability and statistical models to predict outcomes and assess risks in various scenarios, all while working from a remote location. Professionals in this role typically use specialized software to run large numbers of simulations, analyze data, and help organizations make data-driven decisions. These jobs are common in fields such as finance, engineering, physics, and insurance. Working remotely allows for flexibility and access to global opportunities, as most tasks can be performed using computers and online collaboration tools.

What are the key skills and qualifications needed to thrive in remote Monte Carlo simulation?

To excel as a Remote Monte Carlo Simulation Specialist, you need a strong background in mathematics, statistics, and computational modeling, often supported by a relevant degree in fields such as engineering, physics, or applied mathematics. Proficiency with programming languages like Python or MATLAB, as well as familiarity with simulation software and tools such as @Risk or Crystal Ball, is typically required. Strong analytical thinking, attention to detail, and effective remote communication are crucial soft skills for this role. These competencies ensure accurate simulation results, facilitate collaboration across distributed teams, and enable effective problem-solving in complex modeling scenarios.

What are some common challenges faced by professionals working in remote Monte Carlo simulation roles, and how can they be addressed?

Professionals in remote Monte Carlo simulation roles often encounter challenges such as coordinating with geographically dispersed teams, ensuring access to high-performance computing resources, and effectively communicating complex results to stakeholders. Overcoming these hurdles typically involves utilizing collaborative platforms for code sharing and documentation, scheduling regular virtual meetings to align project goals, and leveraging cloud-based computing solutions. Building strong communication skills and maintaining clear documentation are essential for remote team success in this field.

What are popular job titles related to Remote Monte Carlo Simulation jobs in Boston, MA?

For Remote Monte Carlo Simulation jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Remote Monte Carlo Simulation jobs in Boston, MA look for?

The top searched job categories for Remote Monte Carlo Simulation jobs in Boston, MA are:

Remote Monte Carlo Simulation jobs near you

Scientific Software Engineer - AMO Simulations

Boston, MA • On-site, Remote

QuEra Computing, Inc.
Scientific Research and Development Services • 11 - 50 employees
Learn more about QuEra Computing, Inc.external

$102K - $166K/yr

Full-time

Re-posted 16 days ago

Job description

Summary

QuEra Computing Inc. seeks a Scientific Software Engineer with a strong background in quantum dynamics, numerical simulation, and open quantum systems to help develop software tools for modeling neutral-atom quantum processors.

In this role, you will work at the intersection of AMO theory, scientific computing, and quantum software. You will build simulation and analysis tools that help researchers understand system behavior, model noise and decoherence, validate control protocols, and connect device-level physics to higher-level quantum computing workflows.

This role is ideal for someone who has used numerical methods to study quantum systems and wants to turn research-grade models into reliable, scalable software used by scientists and engineers.

Responsibilities

  • Develop and maintain scientific software for simulating neutral-atom quantum systems, including coherent dynamics, dissipation, noise, and measurement processes.
  • Implement numerical methods for quantum dynamics and open quantum systems, such as Lindblad master equations, quantum trajectories, Krylov subspace methods, Chebyshev polynomials, or related approaches.
  • Build production-grade software infrastructure and tools to efficiently model Rydberg interactions, atom motion, atom loss, laser control imperfections, decoherence channels, and other device-relevant effects, supporting AMO theory and device modeling efforts.
  • Collaborate with physicists and software engineers to translate theoretical models into tested, documented, and reusable software components.
  • Design simulation workflows that support benchmarking, calibration analysis, algorithm validation, and performance modeling.
  • Optimize numerical codes for accuracy, stability, performance, and usability across a range of system sizes and approximations.
  • Contribute to APIs, documentation, examples, and validation tests for internal and external users.
  • Contribute parts to QuEra's central virtualization platform to faithfully emulate hardware with AMO-informed noise.

Qualifications

  • Master's or Ph.D. in Physics, Applied Mathematics, Computer Science, Electrical Engineering, or a related field, or equivalent professional experience.
  • Strong background in quantum mechanics, AMO physics, quantum optics, or quantum information science.
  • Experience performing numerical simulations of open quantum systems, many-body quantum systems, or driven-dissipative quantum dynamics.
  • Strong programming skills in Python, Julia, C++, Rust, or similar languages used for scientific computing.
  • Experience with numerical linear algebra, differential equation solvers, Monte Carlo methods, sparse matrix methods, or high-performance simulation techniques.
  • Familiarity with modern software engineering practices, including version control, testing, code review, profiling, debugging, and documentation.
  • Ability to communicate clearly across theory, software, and experimental teams.

Preferred Qualifications

  • Experience modeling neutral atoms, Rydberg systems, trapped ions, superconducting qubits, photonic systems, or related quantum hardware platforms.
  • Familiarity with QuantumOptics.jl, QuTiP, SciPy, NumPy, ITensor, CUDA, MPI, or related scientific computing tools.
  • Experience with tensor networks, quantum trajectories, stochastic master equations, optimal control, noise spectroscopy, or error modeling.
  • Knowledge of quantum algorithms, analog quantum simulation, quantum error correction, or benchmarking methods.
  • Experience developing reusable scientific software packages or contributing to open-source scientific computing projects.
  • Comfort working with imperfect, evolving physical models and validating them against data or known limits.

The approximate base salary range for this position is $102,400 - $166,400.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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