Company Overview :

At Nutran, we are building next-generation autonomous pod mobility systems. We are looking for a Backend Tech Lead / Engineering Manager to drive the development of our Traffic Management System (TMS) and high-fidelity simulation platform for real-world deployment.

Role Overview :

As an Engineering Manager at Nutran EV Mobility, you will lead a team of talented engineers in designing, developing, and implementing critical software components for our Traffic Management System of Autonomous Pods. You will collaborate closely with Business managers, Electrical and VCU Engineers, and other engineering teams to deliver high-quality, scalable, and reliable solutions.

Key Responsibilities :

- Architect and scale a high-performance Node.js backend for TMS (Launch Control, Jobcard Manager, Pod Allocation, Passenger Flow)

- Develop Python/FastAPI-based simulation systems to validate real-time traffic control, scheduling, and safety logic

- Design and implement advanced algorithms for routing, scheduling, queue management, and dynamic re-routing

- Translate complex operational rules into efficient, production-grade algorithmic solutions

- Bridge backend logic and simulation systems to ensure consistency and accuracy

- Work with embedded real-time systems to align simulation and on-ground behavior

- Deploy and manage scalable microservices using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP)

- Enable large-scale parallel simulation for validation and performance testing

Required Skillset :

- Strong background in algorithms, data structures, and system design with ability to convert complex rules into optimized code

- Experience with system design of distributed systems, microservices, and cloud-native architecture

- Strong expertise in Node.js (event-driven architecture, concurrency, high-throughput systems)

- Strong expertise in Python (simulation, mathematical modeling, FastAPI)

- Proven experience in real-time systems, traffic management, scheduling engines, or control systems

- Hands-on experience with Docker, Kubernetes, and CI/CD pipelines

Good to Have

- Experience with embedded real-time systems integration

- Exposure to GPU computing / parallel processing (CUDA, NVIDIA Jetson)

- Background in autonomous systems, mobility, EV, or robotics