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Hayden AI Technologies, Inc

Senior Software Engineer, Edge Applications

Hayden AI Technologies, Inc, San Francisco, CA, United States


About Us

At Hayden AI, we are on a mission to harness the power of artificial intelligence and machine learning to transform the way governments and businesses address real-world challenges.

From optimizing bus lane and bus stop enforcement to pioneering digital twin modeling and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive forward a sustainable future.

What the job involves

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.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.
  • Strong programming proficiency in C++.
  • Past experience collaborating with other software engineers.
  • Minimum 3 years of industry experience.
  • Background in Machine Learning, Image Processing, Computer Vision, or a similar field.

Ways to stand out

  • 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.

Benefits and Perks

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in a wide range of fields (AI, Computer Vision, Government Contracting, Systems & Device Engineering, Operations, Communications, and more!)

  • Options for 100% company paid medical, dental, and vision coverage for employees and dependents (for US employees)
  • Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)
  • Life, AD&D, Short and Long Term Disability Insurance
  • Aflac Critical Illness, Accident Insurance & Hospital Indemnity Insurance
  • MetLife Legal Plan(s) & Pet Insurance
  • Farmers GroupSelect Auto & Home Insurance
  • 401(k) with 3% company matching
  • Professional development reimbursement
  • Unlimited PTO
  • Hybrid work opportunities
  • Daily catered lunches in our San Francisco office

Hayden AI is committed to creating a diverse and inclusive environment that fosters learning from each other. We celebrate people of diverse backgrounds, experiences, abilities, and perspectives. We are an equal opportunity employer and are committed to providing a work environment free of harassment and discrimination. Hayden AI is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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