Hayden AI

Develop and optimize software for edge devices collaborating with hardware engineers and mentoring junior engineers. | 5+ years in embedded systems or IoT software engineering with C/C++ or Python proficiency and a relevant bachelor's degree. | 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. About the Role As the Senior Software Engineer - Device, you will shape Hayden AI’s hardware-integrated software systems, directly contributing to our mission of transforming urban mobility and public safety through edge device technology. In this role, you will architect, develop, and optimize software running on distributed hardware devices, ensuring robust, scalable, and high-performance solutions. You will report into Siyao, Device Engineering Manager, and work closely with cross-functional teams including Hardware Engineering, Product Management, and Field Operations. We’re looking for someone who combines technical excellence with collaborative drive and thrives on solving complex engineering challenges. This position is based in [City] and follows a hybrid schedule with at least 3 days in-office per week. Key Responsibilities Below are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time. Design, implement, and maintain software for edge devices, ensuring seamless integration with hardware Collaborate with hardware engineers to define system requirements and drive end-to-end feature delivery Optimize system performance for reliability, security, and efficiency in real-world operational environments Lead code reviews, establish software standards, and mentor junior engineers Troubleshoot complex field issues, working with cross-functional teams to provide rapid solutions Required Qualifications The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission. Experience: 5+ years in software engineering with a focus on embedded systems, device software, or IoT solutions Core Skills: Proficiency in C/C++ and/or Python; strong hands-on experience developing software for hardware devices; familiarity with Linux and real-time systems Personal Attributes: Effective communicator; collaborative team player; adaptable and proactive problem-solver; ownership mindset Education: Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience Nice to Have: Experience with computer vision, edge compute, low-level hardware interfaces, or cloud-connected devices; prior experience in mobility, transportation, or safety technology sectors

Own cross-functional delivery accountability and serve as interface between executive leadership and engineering teams to translate business commitments into capacity plans. | Requires engineering degree and 12+ years in technical program management with strong technical fluency in hardware, software, and AI domains. | 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 The Principal Technical Program Manager will own cross-functional visibility and delivery accountability across Hayden’s full engineering and business portfolio. Working directly with executive leadership and business partners across Engineering, Growth, Finance, and Operations, this role translates competing business commitments into a coherent, executable plan, holding the line when capacity and demand diverge. They operate across the full technical stack: hardware, embedded software, edge AI, cloud, computer vision, fleet systems, and government deployment - fluent enough in each domain to surface the right risks and drive the right conversations. Responsibilities: Portfolio Governance: Own the company-level program portfolio — maintaining a single source of truth for commitments, capacity, dependencies, and status across all active lines of work. Business-Engineering Translation: Serve as the primary interface between executive leadership and engineering teams, translating business commitments (contracts, growth targets, customer deployments) into engineering capacity plans and surfacing tradeoffs before they become misses. Executive Reporting: Design and maintain the dashboards, cadences, and reporting frameworks that give the senior leadership clear, accurate visibility into portfolio health without noise. Capacity Planning & Demand Management: Partner with engineering leads across Hardware, Perception, Platform/Cloud, and Eng Ops to maintain a real-time view of capacity versus committed demand, and drive prioritization decisions when they conflict. Cross-Functional Program Delivery: Drive end-to-end delivery of strategic programs that span multiple engineering pillars and business functions, including customer-facing deployments, new product launches, and operational scaling initiatives. Required Qualifications: B.S., M.S., or Ph.D. in an engineering discipline 12+ years in Technical Program Management, Engineering Program Management, or a related role Demonstrated track record managing a portfolio of concurrent, cross-functional programs in a fast-moving environment Experience navigating business-engineering tension: translating contracts, revenue commitments, or customer obligations into engineering capacity and sequencing decisions Technical fluency across multiple domains — enough to engage credibly with hardware, embedded, cloud, and AI engineering teams without domain specialists present Strong executive communication skills: structured, direct, and able to distill complex program status into clear decisions Preferred Qualifications Experience with on-vehicle, edge-deployed, or ruggedized systems (hardware, embedded, edge AI) Background in computer vision, autonomous systems, robotics, or AI/ML programs Experience delivering technology to government or municipal clients (procurement cycles, compliance requirements, deployment constraints) Familiarity with fleet management, secure transaction systems, or sensor hardware platforms Experience in a high-growth startup or scale-up environment where process didn’t exist before you built it

Lead and coordinate technical projects and customer engagements to deliver hardware/software solutions for transit and government clients. | 8+ years in integrated hardware/software solutions engineering with project leadership experience and strong background in cloud-connected devices and edge computing. | 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. This position will follow a Hybrid work model at the HQ Office in San Francisco or be Remote in New York What The Job Involves In this role, you will work with all stages of the customer engagement, from helping explore the requirements, to ongoing application of our technology to address the customer needs. The Solutions Engineering team coordinates engineering with business teams and customers to align project scoping, delivery, and execution. The team will be on the ground, to support the technical needs and functional requirements of our customers, and work with teams across Hayden AI to build solutions for real problems. Responsibilities • Work with cross-functional teams to scope, plan, and implement technical projects with engineering. • Communicate technical information in a clear and meaningful way to customers. • Respond to and lead technical investigations in the field. • Assess the application of new use cases for new and existing customers. • Effectively communicate project status and progress through concise, articulate engineering and executive reports and presentations, catering to both client and internal stakeholders. • Lead field projects and the execution of client programs. • Monitor and review product performance data to detect anomalies before they affect customers. Qualifications • B.S. in an engineering discipline or equivalent. • 8+ years experience in integrated hardware/software Solutions engineering, Application engineering, or similar roles. • Experience leading the overall project efforts of at least 5 new products in production. • Strong technical background in connected cloud connected device software, edge computing, data as a product, machine learning, and fleet management. • Experience working closely with multidisciplinary technical teams to drive customer solutions. • Knowledge of tools and techniques for managing complex project development through its entire lifecycle. • Experience leading technical teams across multiple locations in the field. • Experience with the public transportation domain is a plus. • Experience delivering innovative technologies to government agencies is a plus.

Lead ML projects including model design, training, deployment, and continuous improvement for urban scene perception and collaborate cross-functionally. | PhD/Master's in related field, 10+ years ML experience, expertise in Python, PyTorch/TensorFlow, OpenCV, cloud deployment, and containerization with Docker/Kubernetes. | 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 Staff Machine Learning Engineer, you will play a critical role in the architecture and refinement of our cutting-edge perception system. You will leverage a wide spectrum of machine learning techniques, from foundational deep learning and computer vision models to classical algorithms and multi-modal AI models, to solve complex, real-world challenges. Your broad expertise across the machine learning landscape, combined with your proven leadership, will be essential in driving performance improvements and ensuring seamless integration across the company. In this role, you will define and lead high-impact projects, identify new opportunities for innovation, and help shape the future of ML at Hayden AI. Responsibilities: Define and lead projects, driving the entire ML system development life cycle from problem definition and data acquisition to deployment and continuous improvement in production. Guide and mentor cross-functional teams, fostering a collaborative environment and elevating the technical expertise across the company. Actively contribute to the development and refinement of our machine learning models in production, writing clean, efficient, and well-documented code. Design and train deep learning models for complex urban scene perception, classification, object detection, tracking and semantic segmentation. Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of machine learning models. Design and implement automated pipelines for the continuous training, evaluation, and improvement of our machine learning models. Analyze data to identify performance bottlenecks and uncover opportunities for system enhancement. Communicate technical findings and insights effectively to stakeholders across the company to drive performance improvements. Utilize data visualization tools to present complex information clearly for informed decision-making. Required Qualifications: Ph.D. or Master's in Machine Learning, Computer Science, Robotics, Electrical Engineering, or a related field. 10+ years of relevant experience in machine learning, deep learning, and computer vision, with a focus on image classification, object tracking, semantic segmentation, and urban scene understanding. Proven ability to deploy deep learning systems in real-world, customer-facing production environments. Advanced Python programming skills with a strong foundation in software design principles and extensive experience with relevant machine learning libraries and frameworks. Expertise in PyTorch or TensorFlow is required; familiarity with both is a significant plus. Deep hands-on experience with OpenCV. Demonstrated experience with cloud-based deployments on platforms such as AWS, GCP, or Azure. Hands-on experience with containerization and orchestration technologies, including Docker and Kubernetes. Experience with the management and optimization of cloud-based GPU nodes for training and inference is a plus. Experience leveraging large foundational models for a variety of computer vision tasks. Demonstrated proficiency in data science and traditional machine learning algorithms (e.g., SVMs, Random Forests). Prior experience with building and maintaining automated machine learning pipelines is highly desirable. A strong understanding of both cloud and on-device systems for effective model deployment and integration.