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 drive everything 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