Computational Simulation Engineer; AI-Accelerated

Computational Simulation Engineer (AI-Accelerated)

Location:

Remote or Hybrid in Lisbon, Portugal

Circuit Leap is pioneering the future of analog circuit simulation by combining traditional numerical methods with cutting-edge AI acceleration. We're seeking a Computational Simulation Engineer who can bridge the gap between classical physics-based solvers and modern machine learning techniques to create the next generation of ultra-fast, accurate simulation tools for the semiconductor industry.

• Develop and optimize numerical simulation algorithms for analog circuit analysis, leveraging both traditional techniques and AI acceleration.
• Design and implement finite element analysis (FEA) solvers for multi-physics problems in semiconductor devices.
• Train and deploy machine learning models that can act as surrogate simulators, achieving orders of magnitude speedup while maintaining accuracy.
• Create hybrid simulation frameworks that intelligently combine physics-based solvers with AI models for optimal performance.
• Collaborate with circuit designers to understand simulation bottlenecks and develop targeted AI-accelerated solutions.
• Optimize computational kernels for GPU acceleration using CUDA, ensuring maximum throughput for large-scale simulations.
• Validate simulation accuracy against industry-standard tools and real-world measurement data.

• MS or PhD in Computational Physics, Applied Mathematics, Electrical Engineering, or related field with focus on numerical methods.
• Strong foundation in numerical simulation techniques including finite difference, finite element, and finite volume methods.
• Hands-on experience with finite element analysis (FEA) for solving PDEs in engineering applications.
• Proven expertise in training AI/ML models for scientific computing applications, particularly physics-informed neural networks (PINNs) or similar approaches.
• Proficiency in Python and scientific computing libraries (Num Py, Sci Py, PyTorch/Tensor Flow).
• Experience with parallel computing and numerical optimization techniques.
• Strong mathematical background in linear algebra, differential equations, and numerical analysis.

• Experience with electrical and thermal solvers for semiconductor device simulation (TCAD, SPICE, heat transfer).
• Knowledge of electromagnetic field solvers and Maxwell's equations discretization.
• Familiarity with model order reduction techniques and surrogate modeling.
• Experience with GPU programming (CUDA, OpenCL) for accelerating numerical algorithms.
• Background in semiconductor physics and understanding of device-level phenomena.
• Publications or patents in computational simulation or AI-accelerated solvers.
• Experience with commercial simulation tools (COMSOL, ANSYS, Cadence Spectre).

• Lead the transformation of analog circuit simulation from hours to seconds using AI.
• Develop technology that will fundamentally change how engineers design and optimize circuits.
• Work at the intersection of physics, mathematics, and artificial intelligence.
• Directly impact the speed of innovation in the semiconductor industry.
• Shape the architecture of next-generation simulation platforms used by thousands of engineers.

• Opportunity to work on groundbreaking technology combining classical physics with modern AI.
• Access to state-of-the-art GPU clusters and computational resources.
• Collaboration with world-class researchers and engineers in simulation and AI.
• Competitive compensation with significant equity participation.
• Flexible work arrangements and a culture that values innovation and technical depth.
• Clear path to technical leadership as we scale our simulation platform.