Multiphysics & Simulation Software Engineer

Ubifly Technologies Pvt Ltd; Chennai; Presencial; INR 1.500.000 - 2.500.000; Jornada completa

Descripción de la vacante

The ePlane Company in Chennai is seeking a Multiphysics & Simulation Software Engineer to advance their GPU-accelerated flight software. Incubated at IIT Madras, we design and build a compact electric flying taxi and aim to make door‑to‑door flying a reality.

You will contribute to high-throughput models, physics simulations, and reinforcement learning components for aircraft design decisions. You will work across domains with our ML and software teams to transform mathematical models into

Formación

• Direct experience in physics engine development or high-fidelity simulations.
• Strong maths: linear algebra, numerical methods, probability.
• Experience with differentiable solvers and automatic differentiation.
• Experience with CUDA/C++ compute kernels.
• Familiarity with MDO frameworks and aerospace sizing software.

Responsabilidades

• Implement high‑performance, differentiable solvers from the ground up.
• Build and validate coupled ML models and systems across multi‑physics domains.
• Own verification and validation, and guide teams on trust boundaries.
• Chain surrogate models to enable rapid design sweeps.
• Ensure simulations expose analytic gradients for optimization.
• Profile and optimize code for throughput on GPU architectures.

Conocimientos

Multiphysics

High-performance computing

Numerical solvers

CUDA kernels

NVIDIA Warp

JAX

Automatic differentiation

OpenMDAO

Surrogate modelling

ML integration

Educación

Advanced degree in a relevant STEM field

Herramientas

NVIDIA Warp

JAX

CUDA/C++ kernels

OpenMDAO

GPU tooling

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