About the role
What will you do at Hayden AI?
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.
What the job involves As a Staff Software Engineer on the Perception team, you will be a key technical leader, defining and driving the long-term vision and architecture for our perception systems in forthcoming pilots, directly influencing Hayden’s mission and roadmap for business expansion. This role requires deep expertise in computer vision and/or robotics algorithms that are deployed on the edge/cloud.
You will be responsible for setting the technical direction and standards for the team, architecting complex, scalable, and robust end-to-end perception and robotics systems for deployment on real-world hardware, and ensuring their successful integration into Hayden’s core product platform. This is a C++ software engineering position demanding both hands-on technical mastery and significant architectural and systems leadership.
You will operate with complete technical ownership over major system components, mentoring junior and senior engineers, driving complex cross-functional initiatives, and making critical trade-off decisions that balance bleeding-edge innovation, system reliability, performance, and long-term maintainability across the entire Perception stack.
Responsibilities
- Spearhead the architectural design, implementation, and long-term ownership of next-generation perception systems, ensuring seamless transition from research prototypes to robust, scalable production solutions.
- Champion best practices in software development, delivering high-performance, meticulously tested, and maintainable C++ code optimized for heterogeneous edge and robotics computing platforms.
- Architect and optimize high-throughput, real-time perception pipelines, setting the technical direction for advanced techniques in object detection, tracking, and sophisticated sensor fusion Drive the strategic selection, adaptation, and integration of state-of-the-art Machine Learning (ML) and Computer Vision (CV) models, including the development of novel, proprietary models tailored to complex, large-scale Hayden-specific problems.
- Provide technical leadership in highly ambiguous and complex problem domains, defining the technical roadmap and consistently striking the optimal balance between rapid iteration for R&D and the rigorous requirements for productization and scale.
- Act as a key technical liaison, collaborating strategically with Product leadership and setting technical standards across cross-functional Engineering organizations.
- Define and significantly contribute to foundational shared infrastructure, tooling, and architectural patterns, scaling pilot initiatives into core, mission-critical product capabilities.
- Required
Qualifications
- Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Robotics, or a related field. 10+ years of relevant experience in building and deploying perception systems; experience in automotive or robotics domains is a plus.
- Deep expertise in one or more of: robotics, state estimation, computer vision, or applied machine learning.
- Extensive experience leading large, complex, production-grade systems end-to-end.
- Expert-level proficiency in modern C++, including experience with real-time and/or embedded systems.
- Proven track record of technical leadership and architectural ownership across multiple projects or teams.
- Experience scaling systems from prototype to production in ambiguous, fast-moving environments.
- Strong ability to influence without authority and drive alignment across teams.
- Demonstrated mentorship and ability to raise the bar for engineering quality across an organization.
Which skills does this role require?
Make your next move
Build a shortlist and prepare
Identify the requirements you can demonstrate, then choose examples from your work to discuss with the hiring team.
- Build a focused shortlist before you applyCompare role requirements with your experience and give each application a clear reason.
- Practice explaining your experience in an interviewRehearse your answers before meeting the hiring team.
Other roles to compare
Review the responsibilities and requirements before adding an opening to your shortlist.
Applied AI Design Engineer (100 % remote) (m/f/d)
EWOR · Capon Bridge, West Virginia, United States
VP – Distinguished Engineer of Generative AI Engineering
Slate Auto · United States
Research Engineer, Responsible Frontier AI Research, DeepMind
Google · New York, New York, United States
AI Outcome Customer Engineer, Forward Deployed Engineering
Google · Atlanta, Georgia, United States
Orchestration Workload Engineer - ACE - AI Factory
Roche · Kaiseraugst, Aargau, Switzerland
Data Analyst ServiceNow Developer
SiloSmashers, Inc. · District of Columbia, United States
Role information can change. Confirm current details on the original application page.
