Sr. Advanced Computational Scientist - 1654

Broomfield, CO
Science & Technology – Quantum Computing Hardware /
Full-time /
Science Led, Enterprise Driven – Accelerating Quantum Computing
Quantinuum is the world’s largest integrated quantum company, pioneering powerful quantum computers and advanced software solutions. Quantinuum’s technology drives breakthroughs in materials discovery, cybersecurity, and next-gen quantum AI. With approximately 500 employees, including 370+ scientists and engineers, Quantinuum leads the quantum computing revolution across continents.
We unite best-in-class software with high-fidelity hardware to accelerate quantum computing. With integrated full-stack technology, our world-class team is rapidly scaling quantum computing.
Quantinuum recently secured $300m in funding, visit our news pages to learn more about this and other Quantinuum scientific breakthroughs and achievements:

We are seeking a Sr. Advanced Computational Scientist in our Broomfield, CO Location.

Key Responsibilities:

    • Create and maintain numerical tools to enable key features of trapped-ion quantum computers.
    • Develop methods and algorithms for the design of surface-electrode ion traps using electrostatic modeling tools and nonlinear optimization techniques.
    • Collaborate with commercial and experimental teams on research and technology development.
    • You will develop project plans to deliver numerical tools as part of a broader commercial strategy.


    • PhD Prior to Start
    • Minimum of 2 years of post-PhD experience applying physical principles to optimization problems or numerical simulation
    • Minimum of 2 years in one or more compiled languages such as C, C++, Fortran, or Rust
    • Due to Contractual requirements, must be a U.S. Citizen, permanent resident or green card holder


    • PhD in applied mathematics, computer science, physics, electrical engineering, or a related field
    • Experience developing numerical tools for addressing novel physical systems
    • Experience with numerical optimization techniques, such as convex optimization, genetic algorithms, or optimal control theory
    • Experience with configuring and analyzing BEM and/or FEM models
    • Experience using HPC clusters, GPUs, or other parallel computing techniques
    • Experience interfacing compiled libraries with Python, including via ctypes or f2py
    • A history of public-facing work, such as patents, open source repositories, or conference presentations
    • Teamwork and collaboration
    • Excellent written and oral communication skills
$129,000 - $161,000 a year
Compensation & Benefits:
Range posted is inclusive of bonus target when applicable
Estimated Salary Wage: $129,000 - $161,000 Annually