Staff Data Engineer

About Netradyne

Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is looking for talented engineers to join our Analytics team comprised of graduates from IITs, IISC, Stanford, UIUC, UCSD etc. We build cutting edge AI solutions to enable drivers and fleets realize unsafe driving scenarios in real-time to prevent accidents from happening and reduce fatalities / injuries.

Role and Responsibilities

You will be embedded within a team of data engineers and data scientists; responsible for building and productizing large scale data ingestion pipelines. You will :

Develop various cloud / web components to ingest, process, transform, and visualize data at scale.

Develop back-end components to improve responsiveness and overall performance.

Collaborate with cross-functional teams to integrate AI-driven solutions into business operations.

Build and enhance frameworks for automation, data processing, and model deployment.

Utilize Gen-AI tools and workflows to improve the efficiency and effectiveness of AI solutions.

Deployment and monitoring of production ready infrastructure.

Requirements :

B. Tech or M. Tech in computer science or electrical engineering.

At least 5 years of working experience in Python software development with experience is leading projects end-to-end.

Strong programming skills in Python and solid fundamentals in computer science, particularly in algorithms, data structures, and OOP.

Prior experience in working with AWS services or similar cloud platforms.

Good understanding of internals and schema design for various data stores (RDBMS and NoSQL).

Good linux fundamentals and grasp of concepts like virtualenv, docker etc.

Desired Skills :

Knowledge of best practices in software development, including version control, testing, and continuous integration.

Expertise in at least one popular Python web-framework (like Django or Flask) is a plus.

Basic understanding of probability, machine-learning, and deep-learning concepts is a plus.

Hands-on experience with databases like MongoDB, Cassandra is a plus.

Exposure to AWS services like Kinesis, EKS, ASG etc is a plus.