Haydenai
Staff Software Engineer
2mo ago
230522 –299679 USD / yearUSALeadRemotec++computer visionroboticsedge computingcloud
Lead system architecture and development of perception and robotics systems using computer vision for transit and government solutions.
About the company
- 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.