Cambium
Direct message the job poster from Cambium
Computational/AI Materials Scientist
Must be a U.S. Citizen
All applicants must include a cover letter explaining why they are interested in joining Cambium in this role, and how their skills/experience could help Cambium solve the challenges of structural high-temperature polymers.
Defense, aerospace, and other high-performance applications demand new material solutions that are stronger, lighter, more resilient, tested, and delivered faster than traditionally available. Cambium is disrupting advanced materials development, from AI-driven molecular design to agile domestic manufacturing. Whether enabling hypersonic flight or protecting critical systems, our solutions push the limits of what’s possible. Cambium solves mission‑critical problems in defense and industry. Our team of world‑class scientists and engineers was purpose‑built to take on those challenges. Come join us and revolutionize advanced materials for defense, aerospace, and beyond.
The Role Cambium is seeking a Computational/AI Materials Scientist to drive material discovery through physical simulation and AI modeling. A candidate should have deep expertise in physical modeling (quantum or atomistic) and applying AI to materials problems, and a passion for material discovery and innovation.
The successful candidate will lead the development and application of molecular dynamics (MD), density functional theory (DFT), and (AI/ML) models for material property prediction and inverse design of ground‑breaking materials in composite and optical systems. Candidates will integrate closely with experimental colleagues to feed material screening and product development activities.
Responsibilities
Design and execute molecular and quantum simulations to support materials discovery and optimization.
Develop and apply multi-modal AI models to predict and design novel material candidates for experimental testing.
Work with collaborators to collect, aggregate, and quality‑control data for modeling and analysis.
Automate high‑throughput simulation and data curation pipelines.
Implement and scale simulation and AI/ML workflows on cloud‑based HPC systems (e.g., Azure, GCP).
Contribute to IP generation, technical presentations, and reports, and collaborative R&D efforts with partners in academia, national labs, and industry.
Qualifications
PhD in Materials Science, Chemistry, Physics, or Biophysics.
Strong grounding in fundamental physical theory and the tools of simulation and AI for materials discovery.
2+ years of experience in molecular dynamics (MD) and/or DFT modeling (e.g., VASP, Quantum ESPRESSO, GPAW), AI‑driven materials design and discovery.
1+ years of experience developing and modifying neural networks to address materials or chemical property prediction or molecular design.
Background in polymers and amorphous materials preferred.
Experience in cloud computing and parallel computing tools (e.g., SLURM on Azure or GCP).
Exceptional communication skills, self‑starter, and a collaborative mindset.
Passion for materials science and technology in general. Delights in venturing bravely into the unknown.
Why Cambium?
Work at the cutting edge of physics and AI‑driven materials science.
Collaborate with world‑class scientists and engineers.
Influence product and platform development at an early stage.
Competitive compensation, equity, and benefits package.
Cambium offers a highly competitive compensation and benefits plan. This includes excellent medical/dental/vision benefits, and a matching 401(k) plan, professional development reimbursement, and an opportunity for equity for most positions.
Compensation $110,000 – $160,000 annually
Seniority level Associate
Employment type Full‑time
Job function Science and Engineering
Industries Defense and Space Manufacturing
Referrals increase your chances of interviewing at Cambium by 2x
#J-18808-Ljbffr
Computational/AI Materials Scientist
Must be a U.S. Citizen
All applicants must include a cover letter explaining why they are interested in joining Cambium in this role, and how their skills/experience could help Cambium solve the challenges of structural high-temperature polymers.
Defense, aerospace, and other high-performance applications demand new material solutions that are stronger, lighter, more resilient, tested, and delivered faster than traditionally available. Cambium is disrupting advanced materials development, from AI-driven molecular design to agile domestic manufacturing. Whether enabling hypersonic flight or protecting critical systems, our solutions push the limits of what’s possible. Cambium solves mission‑critical problems in defense and industry. Our team of world‑class scientists and engineers was purpose‑built to take on those challenges. Come join us and revolutionize advanced materials for defense, aerospace, and beyond.
The Role Cambium is seeking a Computational/AI Materials Scientist to drive material discovery through physical simulation and AI modeling. A candidate should have deep expertise in physical modeling (quantum or atomistic) and applying AI to materials problems, and a passion for material discovery and innovation.
The successful candidate will lead the development and application of molecular dynamics (MD), density functional theory (DFT), and (AI/ML) models for material property prediction and inverse design of ground‑breaking materials in composite and optical systems. Candidates will integrate closely with experimental colleagues to feed material screening and product development activities.
Responsibilities
Design and execute molecular and quantum simulations to support materials discovery and optimization.
Develop and apply multi-modal AI models to predict and design novel material candidates for experimental testing.
Work with collaborators to collect, aggregate, and quality‑control data for modeling and analysis.
Automate high‑throughput simulation and data curation pipelines.
Implement and scale simulation and AI/ML workflows on cloud‑based HPC systems (e.g., Azure, GCP).
Contribute to IP generation, technical presentations, and reports, and collaborative R&D efforts with partners in academia, national labs, and industry.
Qualifications
PhD in Materials Science, Chemistry, Physics, or Biophysics.
Strong grounding in fundamental physical theory and the tools of simulation and AI for materials discovery.
2+ years of experience in molecular dynamics (MD) and/or DFT modeling (e.g., VASP, Quantum ESPRESSO, GPAW), AI‑driven materials design and discovery.
1+ years of experience developing and modifying neural networks to address materials or chemical property prediction or molecular design.
Background in polymers and amorphous materials preferred.
Experience in cloud computing and parallel computing tools (e.g., SLURM on Azure or GCP).
Exceptional communication skills, self‑starter, and a collaborative mindset.
Passion for materials science and technology in general. Delights in venturing bravely into the unknown.
Why Cambium?
Work at the cutting edge of physics and AI‑driven materials science.
Collaborate with world‑class scientists and engineers.
Influence product and platform development at an early stage.
Competitive compensation, equity, and benefits package.
Cambium offers a highly competitive compensation and benefits plan. This includes excellent medical/dental/vision benefits, and a matching 401(k) plan, professional development reimbursement, and an opportunity for equity for most positions.
Compensation $110,000 – $160,000 annually
Seniority level Associate
Employment type Full‑time
Job function Science and Engineering
Industries Defense and Space Manufacturing
Referrals increase your chances of interviewing at Cambium by 2x
#J-18808-Ljbffr