Optical Materials Scientist Leidos Holdings IncOptical Materials ScientistSan Diego, CA$107,900–$195,050 / yearOur Space Business Area is actively transforming space payload solutions through customer-funded programs and high-impact internal research and development (IR&D) efforts. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Research Scientist/Research Engineer, Materials Data Periodic LabsResearch Scientist/Research Engineer, Materials DataMenlo Park, California$250,000–$350,000 / yearRoughly half your time will be spent working directly with our experimental and computational scientists, building agents and tools that solve active research problems. Work directly with lab scientists and the computational team on active research problems, staying close to the actual bottlenecks LLM agents are meant to solve.
Material Scientist PTI Technologies Inc.Material ScientistOxnard, CAPTI Technologies Inc. is a world leader in highly-reliable filtration and fluid control equipment and subsystems and miniature CAD/PAD devices, providing innovative, value-added solutions for a full range of mission, flight and life-critical operations across the Aerospace and Defense markets. The Material Scientist position at PTI Technologies plays a pivotal role in advancing aerospace and defense applications through the development and optimization of energetic materials for Cartridge Actuated Devices (CAD) and Propellant Actuated Devices (PAD).
Materials Scientist, Sealants PPG Industries IncMaterials Scientist, SealantsBurbank, CAThrough leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. Cross-Functional Collaboration: Work closely with various departments to ensure the successful scale-up, qualification, and commercialization of new materials and product line extensions.
Materials Scientist, Dual Beam Analysis Eurofins ScientificMaterials Scientist, Dual Beam AnalysisMilpitas, CAOur parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods. In this role, you'll prepare high-quality TEM lamella, perform SEM imaging and EDS analysis on FIB cross-sections to support detailed structural, compositional, and failure analysis for clients across diverse industries.
Materials Scientist (Atom Probe Tomography) Eurofins Scientific SEMaterials Scientist (Atom Probe Tomography)Milpitas, CALearn new tasks, remember processes, maintain focus, complete tasks independently, make timely decisions in the context of a workflow, ability to communicate with visitors, ability to complete tasks in situations that have a speed or productivity quota. Our parent company, Eurofins Scientific, is a multi-billion-dollar global leader in engineering and scientific services operating over 950 labs in 60 countries with 65,000 employees with a portfolio of over 200,000 validated analytical methods.
Computational Materials Scientist Mat3raComputational Materials ScientistWalnut Creek, CA$90,000–$140,000 / yearWork will focus on (1) the application of nanoscale modeling to large sets of materials, surfaces, and reaction pathways with minimal human input, (2) organizing the data produced by the models and experimental validation, (3) establishing artificial intelligence approaches using the data. We look for computational materials scientists excited about bridging the gap between materials/chemistry, data science, and computer science to help us develop a software framework for designing and discovering new advanced materials and chemicals.
NewMaterials Scientist, Sealants PPGMaterials Scientist, SealantsBurbank, CaliforniaThrough leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs.
Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing Amazon.com IncApplied Scientist, Materials and Process Development, AWS Center for Quantum ComputingPasadena, CAThis includes establishing process-structure-property relationships for production-relevant films and interfaces, qualifying new tools and process modules, and designing integration schemes compatible with larger wafer formats. The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on materials integration and process development for superconducting quantum processors.
Materials Scientist - ALD Coating Technology Applied Materials IncMaterials Scientist - ALD Coating TechnologySanta Clara, CA$124,000–$171,000 / yearThe Materials Center of Excellence (MCOE) team is responsible for developing and productization of chamber materials and critical components to enable Applied Material Customers to modify materials at atomic levels on the industrial scale with world class productivity and yield. Partnering with business units, this highly visible role is recognized as an ALD coating subject matter expert within the company with an emphasis on productization and execution from ideation/development to commercialization with end-to-end responsibility for successful ramp at our customers.
Computational Materials Scientist - Postdoctoral Researcher Lawrence Livermore National LaboratoryComputational Materials Scientist - Postdoctoral ResearcherLivermore, CAIncorporate new Integrated Computational Materials Engineering (ICME) microstructure evolution models and resulting property predictions (ranging from analytical to machine learning surrogate models) in LLNL's Materials Acceleration Platform that is deployed on LLNL's High Performance Computing infrastructure. You will be a creative force in the integration and application of thermodynamic and kinetic models into an alloy design framework (including material properties models) that uses numerical optimization methods to rapidly screen for promising compositions over vast multi-component phase spaces.
Materials Scientist - Fully Remote MercorMaterials Scientist - Fully RemoteSan Francisco, CaliforniaRemotePhD in materials science, materials engineering, applied physics, chemistry, chemical engineering, or a closely related field. Calibrate tasks against frontier models, ensuring tasks ship only when strong models fail more often than succeed.
Material Scientist AttoTudeMaterial ScientistBerkeley, California$90,000–$180,000 / yearThe successful candidate will develop hypotheses, design and execute experiments, work with internal and external characterization facilities, and translate experimental observations into actionable improvements to material performance. We are seeking a highly motivated Materials Scientist with deep expertise in semiconductor materials to lead the characterization, understanding, and improvement of advanced material systems.
Computational Materials Scientist - PhD MercorComputational Materials Scientist - PhDSan Francisco, CaliforniaRemoteHands-on experience with atomistic modeling using first-principles or molecular methods ( DFT , ab initio molecular dynamics , classical MD , or Monte Carlo ). Contribute domain expertise in first-principles and molecular simulation to build high-quality training and evaluation data.
AI Research Scientist - Agentic AI for Materials Discovery Meta Platforms IncAI Research Scientist - Agentic AI for Materials DiscoveryPasadena, CADesign, implement, and optimize LLM-orchestrated multi-agent systems for autonomous materials discovery pipelines Build specialized AI sub-agents that operate within a closed-loop discovery framework Integrate agentic AI workflows with computational chemistry tools (DFT, MD, Monte Carlo) and HPC infrastructure Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis Collaborate with materials scientists, computational chemists, and ML researchers to translate domain workflows into autonomous agent architectures Evaluate and benchmark agent performance on materials discovery tasks - measuring accuracy, throughput, and synthetic viability of generated candidates Contribute to open-source tooling and publish research at top-tier venues (NeurIPS, ICML, ICLR, or domain journals)Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in AI, Computer Science, Computational Chemistry, Materials Science, or related field 2+ years of experience with large language models, prompt engineering, or agentic AI frameworks (e.g., React, tool-use agents, multi-agent orchestration) Demonstrated programming skills in Python and experience with ML frameworks (PyTorch, JAX, or similar) Demonstrated experience in building end-to-end AI systems that integrate external tools and APIs Familiarity with at least one domain: computational chemistry, molecular simulation, or materials informatics Experience building multi-agent or LLM-orchestrated systems for scientific applications Familiarity with atomistic simulation tools (VASP, Gaussian, LAMMPS, ASE) or cheminformatics libraries Publications at peer-reviewed ML or domain conferences Experience with retrieval-augmented generation, knowledge graphs, or scientific literature mining Understanding of crystal structure prediction, molecular dynamics, or quantum chemistry workflows Experience with HPC job orchestrationMeta builds technologies that help people connect, find communities, and grow businesses. This role sits within Meta's Reality Labs Research, in the Material and Systems Innovation team, which develops advanced materials for two of Meta's most ambitious hardware frontiers: lightweight, all-day wearable AR glasses and next-generation sensing and actuating materials for robotics.
Materials Research Scientist/Engineer SRI InternationalMaterials Research Scientist/EngineerMenlo Park, California$115,710–$172,115 / yearFull timeFrom the computer mouse to robotic surgery, cancer treatments, and more, SRI’s 75 years of innovation have created new industries, billions of dollars in market value, and lasting benefits to society. For more than 75 years, we have collaborated across technical and scientific disciplines to discover and develop groundbreaking products and technologies and bring innovations and ideas to the marketplace.
NewHybrid | Senior Materials Scientist — $60–$100/hour 24-MagHybrid | Senior Materials Scientist — $60–$100/hourSan Francisco, CaliforniaWe are sharing a specialised full-time opportunity for senior materials science and engineering professionals with substantial research or industrial R&D experience across advanced materials, characterisation, simulation, and materials development. Clear progression into senior responsibility, such as Senior Scientist, Staff Scientist, Research Lead, Principal Investigator , or comparable senior industrial R&D role.
Principal Scientist / Associate Director, Agentic AI Research for Materials Science Lila SciencesPrincipal Scientist / Associate Director, Agentic AI Research for Materials ScienceSan Francisco, Massachusetts$288,000–$420,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Principal Scientist / Associate Director, Agentic AI Research for Materials Science Lila Sciences IncPrincipal Scientist / Associate Director, Agentic AI Research for Materials ScienceSan Francisco, CA$288,000–$420,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Principal Scientist / Associate Director, Agentic AI Research For Materials Science LILAPrincipal Scientist / Associate Director, Agentic AI Research For Materials ScienceSan Francisco, CA$288,000–$420,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.