System Modeling (Computation)
$60.25 - $82.50/hr
... Euler-Maruyama, adjoint methods, implicit solvers). • Experience with high-performance, customized GPU kernel development for numerical methods, including GPU memory optimization and multi-GPU ...
System Modeling (Computation)
$60.25 - $82.50/hr
... Euler-Maruyama, adjoint methods, implicit solvers). • Experience with high-performance, customized GPU kernel development for numerical methods, including GPU memory optimization and multi-GPU ...
AP Calculus BC Tutor
Mount Vernon, NY · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Mount Vernon, NY · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
VA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
VA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Nashville, TN · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Nashville, TN · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Overland Park, KS · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Overland Park, KS · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Huntsville, AL · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Huntsville, AL · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
UT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
UT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Carrollton, TX · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Carrollton, TX · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Bryan, TX · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Bryan, TX · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Spanish Fork, UT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Portland, OR · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Portland, OR · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Glen Cove, NY · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Glen Cove, NY · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Mount Pleasant, SC · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Mount Pleasant, SC · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
North Las Vegas, NV · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
North Las Vegas, NV · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
CT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
CT · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Augusta, GA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Augusta, GA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
SD · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
SD · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Oklahoma City, OK · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Oklahoma City, OK · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Woodstock, GA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Woodstock, GA · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Paramus, NJ · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
AP Calculus BC Tutor
Paramus, NJ · Remote
$18 - $40/hr
Ability to explain radius of convergence, Euler method, and logistic growth models while preparing students for qualifying scores on the AP Calculus BC examination. * Conceptual Teaching & Problem ...
Euler information
What is the difference between Euler vs Mechanical Engineer?
| Aspect | Euler | Mechanical Engineer |
|---|---|---|
| Required Credentials | Typically a degree in mathematics, physics, or related fields | Bachelor's or Master's in Mechanical Engineering |
| Work Environment | Research labs, academia, or specialized industries | Manufacturing, design firms, construction sites |
| Industry Usage | Primarily in academia, research, and theoretical applications | Design, analysis, and manufacturing of mechanical systems |
Euler is a mathematician and theoretical scientist, often involved in research and academia, whereas Mechanical Engineers focus on designing and building mechanical systems in industrial settings. While both roles require strong analytical skills, their work environments and industry applications differ significantly.
More about Euler jobs
What job categories do people searching Euler jobs look for? The top searched job categories for Euler jobs are:
$60.25 - $82.50/hr
Full-time
Posted 3 days ago
New
Job description
Job Summary:
Unconventional AI is focused on redefining computing to create a more efficient foundation for AI. The role of Member of Technical Staff, System Modeling (Computation) involves developing physics-based system models and GPU-accelerated simulations to support machine learning workloads, fostering collaboration across hardware and algorithm teams.
Responsibilities:
• Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that enable rapid iteration, multiple architectures, and rich metrics/visualization, leveraging frameworks best suited for scientific ML (e.g., JAX, PyTorch, or custom CUDA/Triton kernels).
• Bridging Physics and Machine Learning: Developing physics-based surrogate models of device- and system-level behavior in unconventional compute. You will create clean, composable abstractions that expose algorithm–hardware tradeoffs and enable cross-layer optimization via end-to-end autodiff.
• Extreme Co-Design & Collaboration: Working closely with hardware and algorithm teams to understand their simulation needs, supporting everything from high-level algorithm development to the low-level verification of novel, analog hardware.
Qualifications:
Required:
• MS/PhD in a quantitative field (AI/ML, Computer Science, Physics, Electrical Engineering, Applied Math), or BS with substantial, clear evidence of equivalent research/engineering depth.
• Deep expertise in numerical differential equation solvers (e.g., ODE, SDE, DDE) and their implementation on parallel architectures (e.g., Rosenbrock methods, Euler-Maruyama, adjoint methods, implicit solvers).
• Experience with high-performance, customized GPU kernel development for numerical methods, including GPU memory optimization and multi-GPU scaling.
• Experience building effective neural network surrogate models (e.g., Neural ODEs) for complex dynamical systems.
• Solid understanding of modern AI/ML architectures and training/inference workflows.
• Strong experience implementing and debugging ML models in PyTorch (preferred) or similar, with practical experience profiling, optimizing, and stabilizing non-trivial large-scale ML systems.
Preferred:
• Exceptional Python engineering skills with a passion for Developer Experience (DX), elegant API design, strong typing, and composability.
• Experience with compiler-friendly ML paradigms and internals (e.g., JAX vmap/pmap/jit, PyTorch autograd/torch.compile, custom XLA or Triton kernels).
• A track record of building open-source tools, scientific libraries, or serious simulation/modeling frameworks from scratch.
• Familiarity with analog dynamic systems, including transient responses, and nonidealities such as nonlinearity, quantization, random noise, and feedback/stability.
• Demonstrated ability to reason across multiple layers of the stack: algorithm, software, compiler, runtime, and hardware.
• Able to cleanly connect model architecture choices to system performance implications (memory bandwidth, communication patterns, latency, energy, and numerical stability).
• Experience applying efficiency techniques natively within modeling frameworks (quantization, sparsity, pruning, distillation, kernel fusion, etc.).
Company:
Unconventional AI rethinks computer foundations to optimize energy efficiency for AI. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.
Unconventional AI is focused on redefining computing to create a more efficient foundation for AI. The role of Member of Technical Staff, System Modeling (Computation) involves developing physics-based system models and GPU-accelerated simulations to support machine learning workloads, fostering collaboration across hardware and algorithm teams.
Responsibilities:
• Architecting Foundational Solvers: Building large-scale, GPU-accelerated, high-fidelity numerical differential equation solvers (ODE, SDE, CDE, PDE). You will build tools that enable rapid iteration, multiple architectures, and rich metrics/visualization, leveraging frameworks best suited for scientific ML (e.g., JAX, PyTorch, or custom CUDA/Triton kernels).
• Bridging Physics and Machine Learning: Developing physics-based surrogate models of device- and system-level behavior in unconventional compute. You will create clean, composable abstractions that expose algorithm–hardware tradeoffs and enable cross-layer optimization via end-to-end autodiff.
• Extreme Co-Design & Collaboration: Working closely with hardware and algorithm teams to understand their simulation needs, supporting everything from high-level algorithm development to the low-level verification of novel, analog hardware.
Qualifications:
Required:
• MS/PhD in a quantitative field (AI/ML, Computer Science, Physics, Electrical Engineering, Applied Math), or BS with substantial, clear evidence of equivalent research/engineering depth.
• Deep expertise in numerical differential equation solvers (e.g., ODE, SDE, DDE) and their implementation on parallel architectures (e.g., Rosenbrock methods, Euler-Maruyama, adjoint methods, implicit solvers).
• Experience with high-performance, customized GPU kernel development for numerical methods, including GPU memory optimization and multi-GPU scaling.
• Experience building effective neural network surrogate models (e.g., Neural ODEs) for complex dynamical systems.
• Solid understanding of modern AI/ML architectures and training/inference workflows.
• Strong experience implementing and debugging ML models in PyTorch (preferred) or similar, with practical experience profiling, optimizing, and stabilizing non-trivial large-scale ML systems.
Preferred:
• Exceptional Python engineering skills with a passion for Developer Experience (DX), elegant API design, strong typing, and composability.
• Experience with compiler-friendly ML paradigms and internals (e.g., JAX vmap/pmap/jit, PyTorch autograd/torch.compile, custom XLA or Triton kernels).
• A track record of building open-source tools, scientific libraries, or serious simulation/modeling frameworks from scratch.
• Familiarity with analog dynamic systems, including transient responses, and nonidealities such as nonlinearity, quantization, random noise, and feedback/stability.
• Demonstrated ability to reason across multiple layers of the stack: algorithm, software, compiler, runtime, and hardware.
• Able to cleanly connect model architecture choices to system performance implications (memory bandwidth, communication patterns, latency, energy, and numerical stability).
• Experience applying efficiency techniques natively within modeling frameworks (quantization, sparsity, pruning, distillation, kernel fusion, etc.).
Company:
Unconventional AI rethinks computer foundations to optimize energy efficiency for AI. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.