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.
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
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 optimization
Experience with 3D or other irregular data: meshes, point clouds, voxels, sparse tensors
Understanding of hybrid-electric propulsion integration at the aircraft level
Skills Required
- Direct experience in physics engine development, computational engineering software, or high-fidelity simulation environments
- Understanding of linear algebra, numerical simulations, probability theory, and differential geometry
- Hands-on experience building numerical solvers in NVIDIA Warp, JAX, or custom high-performance CUDA/C++ compute kernels
- Deep knowledge of multidisciplinary design optimization frameworks and aircraft sizing software
- Familiarity with surrogate modeling using system identification, Gaussian processes, or neural networks
- Expertise with automatic differentiation tools and development
- Experience with OpenMDAO or a similar framework for coupling and optimizing engineering models
- Experience with multi-objective optimization using Pareto front methods such as NSGA-II, MOEA/D, SHERPA, or adjoint-based optimization
- Experience with 3D or irregular data, including meshes, point clouds, voxels, or sparse tensors
- Understanding of hybrid-electric propulsion integration at the aircraft level
What We Do
We're developing India’s 1st flying electric taxi for up to 10x faster intra-city commute and cargo transport. Incubated at IIT Madras, Chennai since 2019, The ePlane Company was founded by Professor Satya Chakravarthy with a vision to make flying ubiquitous. As an Urban Air Mobility (UAM) startup, we aim to alleviate on-road traffic congestion in cities worldwide by offering safe, sustainable and affordable flying experiences through our flagship product, The ePlane e200.
