Sr. Embedded Software Engineer

Minus Zero, Autonomous Vehicles

Bengaluru, India

At Minus Zero, I work on the core vehicle control stack for autonomous driving systems, contributing to both the software architecture and the hardware-in-the-loop vehicle interface systems.

I am responsible for the design and development of the vehicle control module that runs on the NVIDIA Jetson AGX Orin platform—forming a critical part of the onboard autonomous driving software stack. This module has been deployed and tested extensively on public roads using a Tata Nexon platform.

My work involves developing robust CAN and UDP socket interfaces to bridge the onboard software stack with the Tata Nexon’s drive-by-wire signals and feedbacks. The vehicle module architecture is inspired by Baidu Apollo’s modular AD system, focusing on clarity, scalability, and distributed computing.

I designed and tuned motion control algorithms, including pure-pursuit for lateral control and PID-based longitudinal control, ensuring stable and predictable vehicle behavior across varying speeds and road conditions. This hands-on development gave me a strong understanding of motion planning pipelines and autonomous vehicle system design, especially in real-world deployment.

The middleware architecture I work with is built around the eCAL framework, leveraging publisher-subscriber messaging and protobuf-based message schemas. This contributes to a highly modular and debuggable software system, complete with scalable logging and replay tools.

Beyond vehicle control software, I also lead the design and development of Minus Zero’s in-house STM32G4-based drive-by-wire system for the Tata Nexon—since the stock vehicle has no native ADAS-compatible interfaces. This includes:



In addition to engineering contributions, I also led key technical collaborations with industry partners and OEMs. This included:

These collaborations provided not only technical exposure but also deep insights into safety requirements, industry standards, and the broader ecosystem of autonomous mobility technologies.