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An early-stage startup | Sensor-based video audio analysis | Jetson edge devices, is looking for a hands-on Machine Learning software engineer to join our technical team and drive the development of intelligent video and audio analytics modules. You will work closely with edge computing devices (Jetson), implement and optimize ML models, and integrate with Real-Time messaging systems like RabbitMQ, Kafka, and ZeroMQ.
Develop and deploy ML/ DL models for video and audio analysis on edge devices (Jetson Nano/Xavier).
Preprocess and analyze large volumes of sensor data (video/audio).
Work with Real-Time messaging and streaming systems (RabbitMQ, Kafka, ZeroMQ).
Optimize inference performance on Embedded hardware (using TensorRT, ONNX, CUDA).
Collaborate with DevOps and backend engineers to integrate models into production pipelines.

We are looking for our first software engineer a founding member who will play a pivotal role in shaping the DNA of software development. This is a rare opportunity to join early, architect core systems, and lay the foundation for Real-Time software powering cutting-edge sensing platforms.
You will lead implementation efforts across Embedded and accelerated systems and help define the technical standards that will guide our future.
Key Responsibilities:
Design and implement high-performance, Real-Time software solutions.
Collaborate closely with hardware and systems engineers to ensure tight integration and optimal performance.
Lead development efforts on NVIDIA Jetson platforms
Influence software engineering culture, tools, and processes as a founding member of the team.
Participate in code reviews, testing, and documentation to maintain high engineering standards.