Computational Scientist: Quantum Energy Storage (Onsite)

Praxis, Inc.

Torrance (CA)

On-site

USD 120,000 - 190,000

Full time

14 days+

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Job summary

Pronoia Energy in Torrance, California is seeking a Computational Scientist to drive simulation-driven decision making. You will simulate materials at atomic and molecular scales using density functional theory, molecular dynamics, and finite-element modeling, accelerating the experimental loop.

You will collaborate with physicists and chemists, define simulation workflows, and translate results into actionable experiments, helping accelerate progress toward practical quantum energy storage

Qualifications

  • PhD-level depth in computational materials science, condensed-matter physics, or computational chemistry.
  • Strong production coding in Python or C++ and fluency with real simulation packages.
  • A track record of connecting simulation to actual experimental outcomes, not only publications.
  • Comfort defining a function from scratch and excitement about the quantum-materials frontier.
  • A self-starter who thrives amid ambiguity and rapid iteration.

Responsibilities

  • Build and run atomic- and molecular-scale simulations of our materials and candidate structures.
  • Connect simulation results to real experimental decisions, and validate models against measured data.
  • Establish the tools, methods, and standards for simulation across the company.
  • Collaborate tightly with the experimental teams who generate ground-truth data.
  • Provide data-driven insight that informs each design iteration.

Skills

Python
C++
Simulation packages

Education

PhD in computational materials science / condensed-matter physics / computational chemistry

Tools

High-performance computing
Parallel computing

Job description

Pronoia Energy in Torrance, California is seeking a Computational Scientist to drive simulation-driven decision making. You will simulate materials at atomic and molecular scales using density functional theory, molecular dynamics, and finite-element modeling, accelerating the experimental loop.

You will collaborate with physicists and chemists, define simulation workflows, and translate results into actionable experiments, helping accelerate progress toward practical quantum energy storage

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