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 realworld 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 edgebased 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 opensource models to solve Haydenspecific 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, fastpaced environment.
As Hayden begins an organizational scaleup phase, we need to build a rocksolid foundation. That means delivering welldesigned and welltested code that can be shared across the organization.
Deliver bulletproof, rigorously tested C++ code.
Iterate on our suite of realtime vehicle tracking and license plate reading systems.
Refine and optimize cloudside 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.
Bachelors or Masters 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.
Hayden is beginning a scaleup process within the organization. We need people who can function in a larger organization.
Indepth knowledge and experience with embedded systems development.
Familiarity with CUDAOpenCL 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.
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