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Position: Lead AI Scientist, Project HELIOS

Reports to: Director of R&D, Irvine

Company: Creative Dynamic Virtual Systems, Inc. (CDVS)

Position Summary

Creative Dynamic Virtual Systems is seeking a Lead AI Scientist to spearhead our most advanced computational division at our new R&D center in Irvine, CA. This individual will be the chief architect of "Project HELIOS," our proprietary stacked neural network program.

The ideal candidate is a subject matter expert in machine learning and high-performance computing (HPC), capable of designing novel AI architectures from the ground up. You will be responsible for leading a world-class team of ML and data engineers, leveraging our on-site HPE Cray supercomputing and IBM AIX platforms to solve complex problems in bio-fabrication, materials science, and medical data analysis.

This role requires a blend of visionary research, hands-on technical leadership, and a deep understanding of how to optimize AI/ML models for massively parallel HPC environments.

Core Responsibilities

  • Lead "Project HELIOS": Direct the end-to-end research, design, and implementation of proprietary stacked neural network architectures.
  • HPC Optimization: Lead the strategy for porting, optimizing, and scaling machine learning models on our HPE Cray supercomputing and IBM AIX systems.
  • Team Leadership: Manage and mentor a team of 5-6 AI scientists and ML/Data engineers, setting technical direction and fostering a culture of rapid innovation.
  • Cross-Functional Collaboration: Serve as the primary AI/ML stakeholder for our Biomedical and Visualization teams, translating their research challenges (e.g., "Bouncy Bio-Glass" material simulation, LEO bioprinting data analysis) into solvable computational models.
  • Data Pipeline Architecture: Oversee the development of robust data pipelines, working with Data Engineers to ensure efficient data management and analysis within our INFORMIX database environments.
  • Research & Publication: Stay at the forefront of AI and computational science, publishing research and representing CDVS at relevant industry and academic conferences.

Required Qualifications & Skills

  • Education: Ph.D. in Computer Science, Artificial Intelligence, Computational Physics, or a related field is strongly preferred.
  • Experience: 7+ years of experience in machine learning and AI research, with a proven track record of designing and deploying large-scale models.

HPC Expertise: Demonstrable, hands-on experience with high-performance computing (HPC) environments. Direct experience with Cray systems, parallel computing

  • (MPI/OpenMP), and/or scientific computing is a major asset.
  • Technical Proficiency: Expert-level knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and a strong foundation in high-performance languages.
  • Database Knowledge: Familiarity with enterprise-level database systems is required. Experience with AIX or INFORMIX is a significant advantage.
  • Leadership: 3+ years of experience managing or leading technical teams.

Desired Attributes

  • Problem Solver: A creative and analytical thinker who thrives on solving novel, complex problems.
  • Interdisciplinary Mindset: Ability to communicate and collaborate effectively with experts in biology, materials science, and medicine.

The Strategic Inflection Point

 

  1. Bio-Integrative Materials: We are revolutionizing soft tissue repair with our patented "Bio-Glass" and "Bouncy Bio-Glass." These materials are uniquely designed for the 3D bioprinting of ligaments and tendons, offering superior bio-integration and strength. We are on an aggressive timeline and project entering clinical trials within 24 months.
  2. Holographic Surgical Guidance: Our advanced systems provide surgeons with real-time, three-dimensional intraoperative visualizations. This is not merely a display system; we are developing interactive holographic surgical designs. This technology allows surgeons to superimpose patient-specific 3D models (from CT/MRI data) directly onto the surgical field, dramatically enhancing precision, minimizing healthy tissue damage, and improving patient outcomes.

Project HELIOS & Proprietary AI: This initiative is the core of our computational strategy. It leverages our proprietary stacked neural network architecture, a design that enables unprecedented data processing efficiency and complex pattern recognition, far exceeding standard models.