About the position
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. As a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role. You will be delivering high quality C++ code that runs on edge devices. You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems. Expect to collaborate with Product Management to translate customer needs to software solutions. Hayden is a startup. You will be working in an ambiguous, fast-paced environment. As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.
Responsibilities
- Deliver bullet-proof, rigorously tested C++ code.
- Iterate on our suite of real-time vehicle tracking and license plate reading systems.
- Refine and optimize cloud-side image and video processing.
- Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.
- Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.
Requirements
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.
- Background in Machine Learning, Image Processing, Computer Vision, or a similar field.
- Minimum 2 years of industry experience.
- Strong programming proficiency in C++.
- Past experience collaborating with other software engineers.
Nice-to-haves
- In-depth knowledge and experience with embedded systems development.
- Familiarity with CUDA/OpenCL programming and video processing pipelines.
- Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).
- Familiarity managing data processing and machine learning code via GitHub.
- Experience with iOS or Android mobile application development beyond UI.
- Experience with ROS or other robotics systems.
