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.
We are looking for someone who can build the systems for implementing the operational cadence for Urban Air Mobility in the future which depends on solving problems relating to routing, scheduling substantially different from road transports especially when aircrafts have hard energy constraints, and charging. We are looking for someone who can help build the algorithms that can optimize this while also building the simulation tools to simulate hundreds of aircraft across a city network. You will implement the physics and operational algorithms at the analytical core of our simulation platform. This ranges from aircraft energy modelling through to fleet dispatch optimisation and demand generation.
Build optimisation algorithms for operational problems across flight planning, network planning, charging strategy, dispatch under real-world constraints
Design and implement simulation logic for agent-based fleet and network modelling, validated progressively from small-scale prototype to production scale
Build demand modelling capabilities for markets with and without prior operational data
Implement sensitivity analysis and parametric trade-off tools that allow engineers and commercial teams to quantify the impact of design and assumption changes
RequirementsRequired Qualifications
Experience in writing optimized C++ code
Understanding of Convex Optimization/Nonlinear Optimization
Experience with solving optimization problems in any domain
Experience with continuous-time optimization algorithms or optimization libraries like NLopt, Ceres, IPOPT
Strong fundamentals in Linear Algebra, Probability, Differential Geometry
Experience implementing simulation models that must be simultaneously fast, accurate, and auditable
Experience with software tools like Gurobi, MOSEK
Agent-based modelling or discrete-event simulation experience
Understanding of Markov Decision Processes and methods to solve POMDPs
Skills Required
- Experience writing optimized C++ code
- Understanding of convex or nonlinear optimization
- Experience solving optimization problems in any domain
- Experience with continuous-time optimization algorithms or libraries such as NLopt, Ceres, or IPOPT
- Strong fundamentals in linear algebra, probability, and differential geometry
- Experience implementing simulation models that are fast, accurate, and auditable
- Experience with Gurobi or MOSEK
- Agent-based modeling or discrete-event simulation experience
- Understanding of Markov Decision Processes and methods for solving POMDPs
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.
