The ePlane Company is at the forefront of Indias urban air mobility revolution. Incubated at IIT Madras we are a deep-tech startup dedicated to designing and building the worlds 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. Were a passionate team of engineers designers and visionaries working on cutting-edge technology and were looking for brilliant minds to help us take flight.
Chart the Course for the Future of Flight
This roles focus is on developing core software architecture for internal engineering tools and other tools that enable operations for the next generation of mobility while working on accelerating the development and deployment of novel engineering tools leveraging cutting edge hybrid of ML based tools in real-time situations. We are looking for an experienced Software Architect to provide the overarching technical vision architectural design for our engineering simulation platform and operational suites. We want someone who understands the difference between a demo in a boardroom v/s a platform that works in the ground reality of multiple teams using different parts of the tool at the same time
Roles and Responsibilities
Design the overall system architecture: module boundaries shared data objects execution tiers and the interface adapters that keep modules decoupled
Architect and oversee integration of all multi-module systems with traceability
Design the multi-timeline execution architectures for platforms as required
Define and freeze API contracts for the platforms external interfaces before downstream teams begin building against them
Scale the platform progressively from prototype to production-grade with explicit validation gates at each stage
Write clear verifiable and precise low-level software requirements based on system-level specifications
Collaborating closely with collaborators to understand their technical requirements proposing interfaces and enabling them through proof-of-concept deployment and optimization phases.
Architect reference implementations for reliable scalable traceable involving ML and GenAI based systems
Establishing software development and testing standards
Requirements
Required Qualifications
A track record of architecting systems that handle production and at enterprise-grade systems
Development of software systems that can deployed on the cloud or on premise
2 years ML engineering or engineering applications
Understanding of API contracts and frameworks
Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
Experience with containerisation and orchestration systems like docker kafka kubernetes
Experience identifying and resolving systemic technical problems across multiple systems
Demonstrable experience architecting complex real-time software systems from scratch.
Hands-on experience with timing analysis CPU load measurement memory load analysis and code profiling across distributed systems.
Preferred Qualifications
Understanding and deployment of Reinforcement Learning based tools
Prior experience leading end to end through SDLC activities
Experience with distributed computing and performance optimization
Benefits
What We Offer
The opportunity to work on a groundbreaking product that will redefine urban transportation.
A dynamic fast-paced and collaborative work environment with a brilliant and passionate team.
Competitive salary and benefits.
A culture of innovation where your ideas can directly impact the future of flight
Required Skills:
Required Qualifications A track record of architecting systems that handle production and at enterprise-grade systems Development of software systems that can deployed on the cloud or on premise 2 years ML engineering or engineering applications Understanding of API contracts and frameworks Proven understanding of fundamental data structures and the ability to apply them to solve complex problems. Experience with containerisation and orchestration systems like docker kafka kubernetes Experience identifying and resolving systemic technical problems across multiple systems Demonstrable experience architecting complex real-time software systems from scratch. Hands-on experience with timing analysis CPU load measurement memory load analysis and code profiling across distributed systems. Preferred Qualifications Understanding and deployment of Reinforcement Learning based tools Prior experience leading end to end through SDLC activities Experience with distributed computing and performance optimization
Required Education:
Understanding and deployment of Reinforcement Learning based tools Prior experience leading end to end through SDLC activities Experience with distributed computing and performance optimization
About The ePlane CompanyThe ePlane Company is at the forefront of Indias urban air mobility revolution. Incubated at IIT Madras we are a deep-tech startup dedicated to designing and building the worlds most compact electric flying taxi. Our mission is to make door-to-door flying a reality drasticall...
About The ePlane Company
The ePlane Company is at the forefront of Indias urban air mobility revolution. Incubated at IIT Madras we are a deep-tech startup dedicated to designing and building the worlds 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. Were a passionate team of engineers designers and visionaries working on cutting-edge technology and were looking for brilliant minds to help us take flight.
Chart the Course for the Future of Flight
This roles focus is on developing core software architecture for internal engineering tools and other tools that enable operations for the next generation of mobility while working on accelerating the development and deployment of novel engineering tools leveraging cutting edge hybrid of ML based tools in real-time situations. We are looking for an experienced Software Architect to provide the overarching technical vision architectural design for our engineering simulation platform and operational suites. We want someone who understands the difference between a demo in a boardroom v/s a platform that works in the ground reality of multiple teams using different parts of the tool at the same time
Roles and Responsibilities
Design the overall system architecture: module boundaries shared data objects execution tiers and the interface adapters that keep modules decoupled
Architect and oversee integration of all multi-module systems with traceability
Design the multi-timeline execution architectures for platforms as required
Define and freeze API contracts for the platforms external interfaces before downstream teams begin building against them
Scale the platform progressively from prototype to production-grade with explicit validation gates at each stage
Write clear verifiable and precise low-level software requirements based on system-level specifications
Collaborating closely with collaborators to understand their technical requirements proposing interfaces and enabling them through proof-of-concept deployment and optimization phases.
Architect reference implementations for reliable scalable traceable involving ML and GenAI based systems
Establishing software development and testing standards
Requirements
Required Qualifications
A track record of architecting systems that handle production and at enterprise-grade systems
Development of software systems that can deployed on the cloud or on premise
2 years ML engineering or engineering applications
Understanding of API contracts and frameworks
Proven understanding of fundamental data structures and the ability to apply them to solve complex problems.
Experience with containerisation and orchestration systems like docker kafka kubernetes
Experience identifying and resolving systemic technical problems across multiple systems
Demonstrable experience architecting complex real-time software systems from scratch.
Hands-on experience with timing analysis CPU load measurement memory load analysis and code profiling across distributed systems.
Preferred Qualifications
Understanding and deployment of Reinforcement Learning based tools
Prior experience leading end to end through SDLC activities
Experience with distributed computing and performance optimization
Benefits
What We Offer
The opportunity to work on a groundbreaking product that will redefine urban transportation.
A dynamic fast-paced and collaborative work environment with a brilliant and passionate team.
Competitive salary and benefits.
A culture of innovation where your ideas can directly impact the future of flight
Required Skills:
Required Qualifications A track record of architecting systems that handle production and at enterprise-grade systems Development of software systems that can deployed on the cloud or on premise 2 years ML engineering or engineering applications Understanding of API contracts and frameworks Proven understanding of fundamental data structures and the ability to apply them to solve complex problems. Experience with containerisation and orchestration systems like docker kafka kubernetes Experience identifying and resolving systemic technical problems across multiple systems Demonstrable experience architecting complex real-time software systems from scratch. Hands-on experience with timing analysis CPU load measurement memory load analysis and code profiling across distributed systems. Preferred Qualifications Understanding and deployment of Reinforcement Learning based tools Prior experience leading end to end through SDLC activities Experience with distributed computing and performance optimization
Required Education:
Understanding and deployment of Reinforcement Learning based tools Prior experience leading end to end through SDLC activities Experience with distributed computing and performance optimization