Senior Software Engineer, Pilots

Reposted 9 Days Ago
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San Francisco, CA
Hybrid
200K-261K Annually
Senior level
Artificial Intelligence • Software
The Role
The Senior Software Engineer will develop prototypes for perception systems, focusing on robotics and computer vision, ensuring maintainability and scalability.
Summary Generated by Built In
About Us

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.

Job Summary

As a Senior Software Engineer on the Pilots team within the Perception organization, you will be responsible for developing prototypes for forthcoming pilots, aligning with Hayden’s mission and long-term roadmap for business expansion.

This team investigates novel use cases, vehicles, and deployment environments, expeditiously translating preliminary concepts into functional prototypes. You will construct comprehensive end-to-end perception and robotics systems designed to operate on real-world hardware and capable of scaling into Hayden’s core product platform.

This is a C++ software engineering generalist position emphasizing robotics and systems expertise. You will function with a substantial degree of ownership, navigating complexity to meticulously design, implement, and fortify solutions that judiciously balance rapid experimentation with sustained maintainability.

Key Responsibilities:
  • Deliver robust, thoroughly tested, and maintainable C++ code tailored for edge and robotics platforms.

  • Design, implement, and take ownership of prototype perception systems with the potential to transition into production-grade solutions.

  • Construct and iteratively refine real-time perception pipelines, encompassing detection, tracking, and sensor fusion methodologies.

  • Adapt, refine, and integrate Machine Learning (ML) and Computer Vision (CV) models, including leveraging open-source solutions, for novel, Hayden-specific applications.

  • Drive technical decision-making in ambiguous problem spaces, effectively balancing the speed required for prototyping with the requirements for production readiness.

  • Collaborate closely with the Product team and cross-functional Engineering departments.

  • Contribute to shared infrastructure, tooling, and architectural patterns as pilot initiatives mature into foundational products.

Required Qualifications:
  • Master's degree in Computer Science, Electrical Engineering, Robotics, or a closely related discipline. A PhD is considered advantageous.

  • 5-8 years of relevant experience in building and deploying perception systems; experience in automotive or robotics domains is a plus.

  • Substantial background in a minimum of one of the following domains: robotics, state estimation, computer vision, or applied machine learning.

  • Senior-level industrial experience in the delivery of intricate, production-grade software systems.

  • Demonstrated proficiency in modern C++, coupled with experience in real-time systems.

  • Experience in the construction and ownership of end-to-end systems, rather than merely isolated components.

  • Capability to operate effectively in ambiguous and rapidly evolving environments.

  • Proven capacity to collaborate constructively within a developing engineering organization.

Top Skills

C++
Computer Vision
Machine Learning
Robotics
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The Company
HQ: San Francisco, CA
150 Employees
Year Founded: 2019

What We Do

Artificial intelligence is already impacting almost every aspect of our lives. But cities still rely on outdated technologies that are too expensive to scale and unable to deliver on their promise. As a result, streets are becoming unsafe, and cities are becoming unmanageable. Hayden AI was founded on the belief that by combining mobile sensors with artificial intelligence, we can help governments bridge the innovation gap while making traffic flow less dangerous and more efficient. Led by a team of experts in machine learning, data science, transportation, and government technology, we’ve developed the world’s first autonomous traffic management platform — simultaneously serving citizens and multi-agency missions to help cities become safer and more sustainable.

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