Staff Computational Materials Scientist

Commonwealth Fusion Systems

. Use and build computational toolsets, workflows, and methods to generate predicted material properties in extreme environments with uncertainty bounds informed by physical mechanisms .

Posted 9/30/2026full-timeDevens • Massachusetts • United StatesLead💰 $130,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in computational materials science and engineering, with a strong focus on predictive modeling, experimental validation, and understanding of process-structure-properties-performance principles in extreme environments. Proficient in high-performance computing and integrated computational materials engineering tools to optimize material properties and performance.

Highest-signal resume keywords

Computational Materials SciencePredictive ModelingHigh-Performance ComputingExperimental ValidationIntegrated Computational Materials Engineering (ICME)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Materials Science and EngineeringApplied PhysicsNumerical AlgorithmsFinite Element Method (FEM)Molecular DynamicsDensity Functional TheoryMonte Carlo SimulationStatistical MethodsComputational ThermodynamicsDislocation Dynamics

Soft Skills

Excellent Organizational SkillsCross-Functional CollaborationProblem-Solving Ability

Tools & Technologies

High-Performance ComputingGPU AccelerationMessage Parsing InterfaceSimulation Tools

Industry Keywords

Material PropertiesMicrostructure EvolutionExtreme EnvironmentsU.S. Export Control LawsSafety Compliance

Tech Stack

Tools & technologies

Assembly

About the role

Key responsibilities & impact

Use and build computational toolsets, workflows, and methods to generate predicted material properties in extreme environments with uncertainty bounds informed by physical mechanisms
Identify chemical and microstructural features affecting material performance and quantify relationships for engineering optimization
Inform design of experiments involving simultaneous corrosion, stress, and irradiation, as well as magnetic fields, electric fields, and high temperatures
Develop material design-curve methodologies for tokamak applications, including fatigue, dielectric breakdown, and radiation effects
Identify knowledge and experimental capability gaps addressable through simulation or model building
Assist in benchmarking and creating metrics for material-property variability and manufacturing, fabrication, assembly, and process variability
Collaborate with Materials and Processing engineers to create workflows for data capture, storage, visualization, and analysis
Support writing materials standard specifications
Stay current with evolving technology and modeling techniques
Collaborate with engineers and subject matter experts to identify high-sensitivity parameters and prioritize experimental work

Requirements

What you’ll need

Materials Science and Engineering, Applied Physics, Applied Mathematics, Physical Chemistry, Computer Science or related field
Minimum of 10+ years experience in experimental or computational materials science
Experience using computational materials science tools and integrated computational materials engineering (ICME) tools to answer specific scientific or engineering questions across length scales
Implementation and/or authorship of codes for calculation and analyses of material properties and microstructures
Predictive models for material properties and microstructure evolution in extreme environments
Validation of models with experimental data or physical mechanism bounds
Understanding process-structure-properties-performance principles and fundamental mechanisms responsible for property changes in extreme environments
Understanding of the underlying models that enable materials simulation methods across length scales including Atomistic, molecular dynamics, density functional theory, Monte Carlo, phase field, crystal plasticity, dislocation dynamics, computational thermodynamics, and finite element
Scientific computing, numerical algorithms, FEM, FD, FVM, BEM, eigen/linear/PDE solvers, convex optimization, computational geometry, advanced statistical methods
High-performance computing: distributed processing, message parsing interface, GPU acceleration
Understanding of sensitivity to uncertainty in inputs and outputs of calculations or models
Demonstrated ability to work effectively cross-functionally
Excellent organizational skills, including prioritization of multiple concurrent projects
Ability to break down complex problems into smaller deliverables that add value
Ability to perform activities such as typing and sitting for extended periods
Dedication to safety in environments involving heat, cold, noise, fumes, strong magnets, lead, high voltage, and cryogenics
Willingness to travel or work occasional nights, weekends, or on-call shifts; travel less than 10%
Compliance with U.S. Export Control Laws

Benefits

Comp & perks

Competitive compensation with equity
13 Company-wide Holidays
Flexible vacation days
10 sick days
Generous parental leave policy
Health, dental, and vision insurance
401(k) with employer matching
Professional growth opportunities
Team-building activities