Multiphysics & Simulation Software Engineer

Ubifly Technologies; Chennai; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

The ePlane Company is pioneering multi-physics simulations and ML-driven design tools for India's urban air mobility program. Incubated at IIT Madras, we build GPU-accelerated engines that transform mathematical models into production software for design and optimization.

We seek a Multiphysics & Simulation Software Engineer to lead the development of high-performance, differentiable solvers, integrate ML models, and ensure scalable, low-latency execution on modern GPUs.

Formación

• Direct experience with physics engine development or high-fidelity simulations
• Understanding of advanced mathematics including linear algebra and numerical methods
• Hands-on experience building solvers in GPU environments (CUDA/C++)
• Deep knowledge of MDO frameworks and aerospace sizing software
• Familiarity with surrogate modelling using system identification and neural networks
• Expertise with automatic differentiation tools and development

Responsabilidades

• Implement high-performance, differentiable solvers from the ground up
• Build and validate coupled ML models across multi-physics systems
• Own verification/validation and communicate model trust limits to engineering teams
• Chain surrogate models to enable engineering teams to utilise them
• Ensure simulations expose clean, analytic gradients for rapid optimization
• Profile and optimize GPU-based simulation code for throughput and memory efficiency
• Build surrogate and reduced-order models with quantified uncertainty

Conocimientos

Numerical solvers

Multi-physics modeling

Gradient-based optimization

Automatic differentiation

ML integration

High-performance computing

Herramientas

NVIDIA Warp

JAX

CUDA kernels

Descripción del empleo

Multiphysics & Simulation Software Engineer

The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.

Chart the Course for the Future of Flight

We're building the coupled simulation and optimisation capability that informs our aircraft design decisions for now and future. We are looking for a candidate who can build models across domains where you work with our internal ML and software development teams to lead the development of multi-physics simulations and models. You will join our team to transform mathematical models, aerospace physics simulations, and Reinforcement Learning algorithms into high-throughput, low-latency, production-grade GPU-accelerated software engines.

About The ePlane Company

The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight.

Chart the Course for the Future of Flight

We're building the coupled simulation and optimisation capability that informs our aircraft design decisions for now and future. We are looking for a candidate who can build models across domains where you work with our internal ML and software development teams to lead the development of multi-physics simulations and models. You will join our team to transform mathematical models, aerospace physics simulations, and Reinforcement Learning algorithms into high-throughput, low-latency, production-grade GPU-accelerated software engines.

Roles and Responsibilities

• implement high-performance, differentiable numerical solvers from the ground up
• Build and validate coupled ML models and systems across complex multi-physics systems
• Own verification and validation, and tell the Engineering teams on where a model can and can't be trusted
• Chain surrogate models built by other teams to enable engineering teams to utilise them
• Ensure all physical simulations expose clean, analytic gradients (autodiff) so the Optimization team can perform rapid gradient-based design sweeps
• Profile and optimize simulation code for maximum throughput on GPU architectures, focusing on memory efficiency and execution speed
• Build surrogate and reduced‑order models from our simulations. These should report their own uncertainty, combine cheap and expensive simulations, and choose where to sample next

Requirements

Required Qualifications

Direct experience in physics engine development, computational engineering software, or high-fidelity simulation environments

Understanding of mathematics, particularly linear algebra, numerical simulations, probability theory, differential geometry

Hands‑on experience building numerical solvers in NVIDIA Warp, JAX, or writing custom high‑performance CUDA/C++ compute kernels

Deep knowledge of MDO frameworks and aircraft sizing software.

Familiarity with surrogate modelling using system identification, Gaussian processes, neural networks

Expertise with Automatic differentiation tools and development

Preferred Qualifications

Deep knowledge of MDO frameworks and aerospace sizing software.

Experience with OpenMDAO or a similar framework for coupling and optimising engineering models.

Experience with multi‑objective optimisation using Pareto front methods like NSGA-II, MOEA/D, SHERPA, Adjoint‑based optimisation

Experience with 3D or other irregular data: meshes, point clouds, voxels, sparse tensors

Understanding of hybrid‑electric propulsion integration at the aircraft level