Scientific Machine Learning (SciML) Engineer / AI Research Engineer

Company: Ri8 Solution Consultancy Pvt Ltd

Client: US-Based Technology Company

Location: New York, USA (Onsite/Hybrid as per client requirement)

Employment Type: Full-Time

Experience: 4 Years

Work Authorization: US Citizens or Green Card Holders only

Ri8 Solution Consultancy Pvt Ltd is hiring on behalf of one of our prestigious US-based clients for an experienced Scientific Machine Learning (SciML) Engineer. We are seeking a highly skilled professional with deep expertise in physics-informed AI, scientific computing, and deep learning to build next-generation AI models for electronic design automation (ECAD) and physics simulation.

The ideal candidate should have a strong mathematical foundation, hands-on experience with Scientific Machine Learning (SciML), and expertise in designing scalable deep learning architectures for solving complex engineering problems.

• Architect and develop advanced Physics Foundation Models using state-of-the-art deep learning techniques.
• Design, train, and optimize deep learning models for scientific and engineering applications.
• Build high-performance ECAD data pipelines to convert geometric, discrete, and multi-layer PCB formats such as ODB , IPC-2581, STEP, and Gerber into continuous spatial representations.
• Collaborate on integrating Graph Neural Networks (GNNs) and Large Language Models (LLMs) with downstream spatial physics simulation engines.
• Develop scalable data processing pipelines for geometric and spatial datasets.
• Optimize model training and inference workflows on GPU clusters for high-performance computing.
• Improve model accuracy, scalability, and computational efficiency for production deployments.
• Work closely with multidisciplinary engineering and AI research teams to solve challenging scientific computing problems.
  

• Master's or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or another quantitative discipline with specialization in Scientific Machine Learning (SciML).
• Minimum 4 years of hands-on experience in developing deep learning solutions using PyTorch or JAX.
• Proven experience designing and training Physics-Informed Neural Networks (PINNs), Fourier Neural Operators (FNOs), or related Scientific Machine Learning architectures.
• Strong understanding of:
• Partial Differential Equations (PDEs)
• Vector Calculus
• Automatic Differentiation (Autograd)
• Numerical Optimization Algorithms (Adam, L-BFGS)
• Strong programming skills in Python.
• Experience working with scientific computing libraries including:
• NumPy
• SciPy
• Shapely
• Open3D
• Custom voxelization frameworks or spatial data structures
• Experience optimizing large-scale AI training and inference on GPU infrastructure.
• Excellent analytical, mathematical, and problem-solving skills.
  

• Experience in Electronic Design Automation (EDA/ECAD).
• Knowledge of PCB design data formats and computational geometry.
• Experience with High-Performance Computing (HPC) environments.
• Familiarity with Graph Neural Networks (GNNs), LLM integration, and scientific simulation workflows.
• Publications or research contributions in Scientific Machine Learning or Computational Physics are a plus.
  

• Candidates must be located in New York, USA.
• Only US Citizens or Green Card Holders are eligible to apply.
• Strong communication and collaboration skills are required.
  

Interested candidates who meet the above requirements can apply through LinkedIn or send their updated resume to hr@ri8solutions.com along with the following details:

• Current Compensation
• Expected Compensation
• Notice Period / Availability to Join
• Work Authorization Status (US Citizen or Green Card Holder)

Immediate joiners are highly preferred.