Hayden AI jobs

Senior Software Engineer, Algorithms at Hayden AI focuses on designing and developing computer vision and robotics algorithms for transit enforcement systems. The role involves prototyping AI/CV models, building real-time perception pipelines in C++, and transitioning research concepts to production, requiring a Master's degree and 5-7+ years in robotics, CV, or ML. Compensation is $160k–$260k; location is San Francisco HQ Office, though remote is marked yes.

Software Engineer, Perception at Hayden AI works across computer vision and ML algorithm pipelines for transit enforcement, including prototyping, testing, root cause analysis, and cloud-based monitoring systems. The role requires a Master's degree and 2+ years in automotive software engineering plus algorithm tools (OpenCV, NumPy, etc.). Location is San Francisco HQ Office with remote: yes; compensation is $161.6k–$175k.

Deep Learning Engineer at Hayden AI focuses on building, training, evaluating, and deploying state-of-the-art ML models for computer vision applications, including 3D vision, video behavior models, and vision-language models on edge devices. The role reports to the Director of AI and requires 1-2 years of experience with deep learning and hands-on ML infrastructure. Location is San Francisco with a mandatory hybrid schedule (3 days in-office per week); compensation is $161.6k–$175k.

Data Analyst role at Hayden AI supporting transit agencies and internal stakeholders. San Francisco HQ with remote option; compensation $123k–$160k. Requires SQL, Python, dbt, AWS Glue, and BI tools (Tableau, Looker); entry/mid-level position focused on analytics and data pipelines.

Hayden AI is seeking a Technical Program Manager, Customer Deployment to own end-to-end execution of municipal customer deployments for its computer vision transit enforcement and optimization platform. The role coordinates multiple simultaneous deployments from contract handoff through field go-live, serving as the primary program-level contact for customers while working closely with Project Engineers to unblock delivery across engineering, hardware, and operations teams. Key responsibilities include deployment planning and milestone tracking, customer expectation management, capturing field feedback for engineering teams, scope protection, risk escalation, and building repeatable deployment playbooks. Required qualifications include a B.S. in engineering or equivalent, 5+ years in technical or project management, proven ability to manage concurrent programs with external stakeholders, and strong cross-functional coordination skills without formal authority. Hardware deployment experience and familiarity with government procurement processes are preferred, along with exposure to IoT or edge compute systems. This is a hands-on execution role with direct customer exposure in an early-stage company where deployment processes are still being formalized.

Senior Software Engineer on the Platform - Cloud Events team at Hayden AI, a computer vision company serving transit systems and government agencies. You'll own data validation and ML operations infrastructure, ensuring sensor data is properly processed by cloud ML models and optimizing the model improvement lifecycle through systems design and cross-team collaboration. You need 7+ years of software engineering experience with 2+ years building high-throughput backend services, strong proficiency in Golang and/or Python, and distributed systems thinking; ML Ops knowledge is a plus. The role is based in San Francisco with a hybrid schedule requiring at least 3 days in-office weekly. The position emphasizes code quality, system optimization (particularly GPU cost reduction), and collaborative team culture—you'll spend significant time on code review and architecture improvements across edge and cloud engineering teams.