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Computational Scientist (Catalysis)

Remote:

Full Remote

Contract:

Full time

Salary:

133 - 210K yearly

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

MS in relevant field with 5+ years experience or PhD with 0-4 years, Extensive background in computational methods, Experience connecting simulations to lab results for catalysis, Expertise in software development for materials analysis, Familiarity with machine learning techniques.

Key responsabilities:

Develop and deploy computational methods for catalytic materials
Lead workflows simulating catalytic material reactivity and dynamics
Prepare reports and communicate findings to partners
Support client engagements on novel materials research
Collaborate with engineering to enhance discovery efficiency

SandboxAQ Scaleup https://www.sandboxaq.com/

51 - 200 Employees

See more SandboxAQ offers

Job description

Ready to join the AQ era?

SandboxAQ is solving challenging problems with AI + Quantum for positive impact. We partner with global leaders in government, academia, and the private sector to identify applications that would benefit from quantum-based applications to current and future commercial challenges. We engage with customers early and throughout the development process to improve market fit.

Our team’s unique approach enables cross-pollination across a diverse range of fields, from physics, computer science, neuroscience, mathematics, cryptography, natural sciences and more! Our success comes from coalescing diverse talent to create an environment where experimental thinking and collaboration yield breakthrough AI + Quantum solutions. Join a culture where thought leadership, diverse talent, employee engagement, and technological impact will create the next tech uproar.

We are deeply committed to education as a means to advance quantum solutions and computing initiatives. We invest in future talent through internship programs, research papers, developer tools, textbooks, educational talks/events and partnerships with universities/talent hubs to attract multi-disciplinary talent. Our hope is to inspire people from all walks of life to be prepared for the quantum era and encourage a path in STEM.

Role Overview

In this role, you will be responsible for developing and deploying computational methods for the design and optimization of catalytic materials. You will work closely with a team of subject matter experts, computational scientists, software developers, and machine learning experts using an ensemble of state of art proprietary tools. Material domains include and are not limited to chemical manufacturing processes, energy solutions, and other industrial applications.

Core Responsibilities

Lead design and implementation of computational workflows simulating reactivity and dynamics of catalytic materials at atomic, mesoscale, and continuum scales.
Prepare reports, presentations, and publications to communicate research findings to internal, academic, and industry partners.
Support business functions in materials science pre-sales customer technical diligence and proposals.
Support client engagements on the research and development of novel materials.
Collaborate with software engineering to improve efficiency and performance of discovery workflows.
Mentor junior scientists and interns in computational methods, ensuring best research and software practices.

About You

MS in Chemical Engineering, Materials Science, Chemistry, or equivalent with 5+ years of relevant industry experience OR PhD with 0-4 years of relevant experience.
Extensive background in applying computational methods such as density functional theory, molecular dynamics, quantum chemistry, and machine learning to solid-state materials, with a strong understanding of reaction mechanisms, microkinetic modeling, and materials properties relevant for catalyst discovery and optimization.
At least 2+ years of experience connecting atomistic simulation results to laboratory experimental results for heterogeneous or homogeneous catalysis applications.
At least 2+ years of experience developing software for computational materials analysis and implementing open source packages in an HPC environment.
Familiarity with machine learning techniques applied to accelerate materials discovery.
Ability to work effectively in interdisciplinary teams.
Ability to learn and adapt quickly to new technologies, methodologies, and emerging research in the field of catalysis.

The US base salary range for this full-time position is expected to be $133k-$210k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.

SandboxAQ welcomes all.

We are committed to creating an inclusive culture where we have zero tolerance for discrimination. We invest in our employees' personal and professional growth. Once you work with us, you can’t go back to normalcy because great breakthroughs come from great teams and we are the best in quantum technology.

We offer competitive salaries, stock options depending on employment type, generous learning opportunities, medical/dental/vision, family planning/fertility, PTO (summer and winter breaks), financial wellness resources, 401(k) plans, and more.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Accommodations: we provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.