Quantum Computing Expert

Revolutionizing Chemistry and Materials Science with Quantum Computing

We're on a mission to harness the power of quantum physics to deliver world-changing applications in chemistry and materials science. Our cutting-edge architecture combines silicon photonics with high-volume semiconductor manufacturing processes, enabling us to produce components at Tier-1 fabs.

By leveraging industry-standard fiber connectivity and existing cryogenic cooling systems, we can take advantage of photons' unique properties, which don't feel heat or electromagnetic interference. This allows us to unlock extraordinary advances across climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and more.

In 2024, we announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing's potential impact and the need to scale this technology to unlock its potential.

You will work at the intersection of quantum computing, cheminformatics, and applied machine learning to tackle complex challenges in drug design, catalysis, and energy materials. By combining quantum algorithms with advanced machine learning techniques, you will contribute to the development of innovative methodologies for understanding and predicting molecular and material properties.

• Conduct innovative research and develop workflows that combine quantum computing and ML-driven cheminformatics for molecular modeling and property prediction.
• Develop and apply machine learning models to accelerate molecular and materials discovery in areas such as drug design, catalysis, and energy materials.
• Collaborate with quantum algorithm experts to identify areas where quantum computing can have the greatest impact in cheminformatics and materials discovery.
• Act as a technical lead in collaborative projects, working with internal and external teams to integrate quantum and ML-driven insights into cheminformatics workflows.
• Serve as a subject matter expert in ML-driven cheminformatics, staying updated on recent advancements in AI, computational chemistry, and quantum computing.

Required Skills and Qualifications:

• Ph.D. in cheminformatics, computational chemistry or physics, chemical or materials engineering, or closely related fields, with a strong focus on ML methodologies for molecular modeling or materials discovery.
• Hands-on experience developing and applying machine learning models to solve real-world problems in cheminformatics, drug design, or materials science.
• Expertise in Python programming and familiarity with scientific libraries and ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Demonstrated ability to develop computational workflows integrating ML and molecular modeling tools.
• Published peer-reviewed articles in the field of molecular modeling, applied machine learning, or cheminformatics.

Benefits:

• A highly interdisciplinary and innovative environment.
• The opportunity to shape the future of quantum-driven cheminformatics.

Others:

PsiQuantum provides equal employment opportunity for all applicants and employees. We do not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.