Senior Staff Software Ml 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 driveeverything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road.

Netradyne is actively seeking talented engineers to join our Analytics team. We are particularly interested in individuals with a strong educational background and past experience in IoT-related companies. This role is specifically for a Staff position as a Software Development Engineer in System Optimization. Our team's primary focus is on developing cutting-edge AI solutions that empower drivers and fleets to optimize system performance and identify areas for improvement in real-time, aiming to enhance efficiency and reduce resource consumption. If you have prior experience in IoT-related fields and are passionate about optimizing systems and software development, we encourage you to apply and be a part of our innovative team

About the Role

We are seeking a Senior Staff Software Engineer - Machine Learning to lead the design, optimization, and deployment of embedded AI systems across compute-intensive platforms. This role is critical in architecting scalable, high-performance solutions for real-time edge AI applications in transportation and IoT.

Key Responsibilities

Architect and optimize embedded ML / CV systems on platforms like Qualcomm, NVIDIA, and other compute-intensive SoCs

Lead design of end-to-end IoT systems including performance, stability, update management, and cloud communication

Drive system-level decisions across services for real-time processing, state management, and fault tolerance

Collaborate with cross-functional teams (hardware, product, data science) to deliver scalable and maintainable solutions

Ensure security, reliability, and compliance in embedded software design

Mentor engineers and lead technical reviews and architecture discussions

Contribute to power and thermal optimization strategies for embedded deployments

Design for cross-platform portability and abstraction across heterogeneous hardware

Qualifications

BE / B.Tech or M.E / M.Tech with 9+ years in embedded systems and ML / CV workloads

Strong experience in C / C++, Python and embedded platform SDKs

Proven track record in designing and optimizing compute-intensive systems

Experience in architecting IoT systems with cloud integration, OTA updates, and real-time data pipelines

Knowledge of secure boot, encryption, and fault-tolerant design

Excellent leadership, communication, and stakeholder management skills

Exposure to compliance standards (ISO, GDPR, etc.) is a plus