Sr. Computational Scientist - 742

Quantinuum • Broomfield, CO

11d • $155,000 - $180,000 • Hybrid

About The Position

We are seeking a Sr. Computational Scientist for our Broomfield, CO location. Quantinuum believes that employees work better, more efficiently and more collaboratively in close proximity to other employees, where ideas can be exchanged readily, and decisions can be made more quickly for the benefit of the Company and our customers. All employees should work at their assigned location; however, this role may offer the opportunity to work remotely, with approvals.

By joining Quantinuum, you’ll be at the forefront of this transformative revolution, shaping the future of quantum computing, pushing the limits of technology, and making the impossible possible.
What’s in it for you?
A competitive salary and innovative, game-changing work
Flexible work schedule
Employer subsidized health, dental, and vision insurance
401(k) match for student loan repayment benefit
Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time
Paid parental leave
Employee discounts
Quantinuum is the world leader in quantum computing. The company’s quantum systems deliver the highest performance across all industry benchmarks. Quantinuum’s over 650 employees, including 400+ scientists and engineers, across the US, UK, Germany, and Japan, are driving the quantum computing revolution.
By uniting best-in-class software with high-fidelity hardware, our integrated full-stack approach is accelerating the path to practical quantum computing and scaling its impact across multiple industries.
Quantinuum is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status. Know Your Rights: Workplace discrimination is illegal

Requirements

• PhD minimum required
• Minimum of 5+ years of post-PhD experience
• Due to Contractual requirements, must be a U.S. Person defined as, U.S. citizen permanent resident or green card holder, workers granted asylum or refugee status.
• Due to national security requirements imposed by the U.S. Government, candidates for this position must not be a People's Republic of China national or Russian national unless the candidate is also a U.S. citizen.

Nice To Haves

• PhD in applied mathematics, computer science, physics, electrical engineering, or a related field preferred
• Development of numerical tools for addressing novel physical systems
• Experience applying physical principles to optimization problems or numerical simulation
• Experience with numerical optimization techniques, such as convex optimization, genetic algorithms, or optimal control theory
• Proficiency in one or more compiled languages such as C, C++, Fortran, or Rust
• 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

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.

Benefits

• Flexible work schedule
• Employer subsidized health, dental, and vision insurance
• 401(k) match for student loan repayment benefit
• Equity, 401k retirement savings plan + 12 Paid holidays and generous vacation + sick time
• Paid parental leave
• Employee discounts

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree