Jobs at Hayden AI

Lead the design and evolution of core services architecture, manage cloud deployments, drive technical strategies, and mentor engineers at Hayden AI.

Prototype, design, and implement end-to-end real-time perception and robotics algorithms and systems in C++ for edge/robotics platforms. Integrate ML/CV models, build detection/tracking/sensor-fusion pipelines, and transition prototypes toward production while collaborating across product and engineering teams.

As a Staff Software Engineer, you will lead the architectural design of perception systems, implement robotics solutions, and ensure optimization of C++ code for edge computing.

The Senior Software Engineer will develop prototypes for perception systems, focusing on robotics and computer vision, ensuring maintainability and scalability.

Design, train, evaluate, and deploy state-of-the-art perception models (cloud and edge). Build ML pipelines, contribute to MLOps, collaborate cross-functionally, and deliver production-ready AI solutions for transit and government customers.

The Staff Technical Program Manager leads complex programs' planning and releases, ensures cross-functional alignment, and manages product lifecycle processes.

The Senior Software Engineer will design, implement, and maintain the full-stack web application, Portal, while mentoring junior engineers and ensuring production stability.

The Senior Firmware Engineer will develop and maintain Linux kernel device drivers and interfaces for hardware on embedded systems, focusing on high-performance edge AI applications.

The Principal Technical Program Manager oversees cross-functional program delivery and portfolio governance, translating business needs into engineering capacity plans and managing concurrent projects across technical domains.

The Data Analyst will support various stakeholders by providing data insights, creating metrics and visualizations, and ensuring data quality for informed decision-making.

The Technical Program Manager oversees customer deployments, coordinates with engineers, manages risks, and improves processes for successful project execution.

The MLOps Engineer will design and maintain ML infrastructure, enhance workflow efficiency, and collaborate with teams to improve AI model deployment and management.

Design, implement, and optimize software for edge devices integrated with hardware. Collaborate with hardware engineers, lead code reviews, mentor junior engineers, troubleshoot field issues, and ensure system reliability, security, and performance in operational environments.

Develop, test, and deploy CV/ML software from prototype to production. Implement cloud pipelines for monitoring algorithm and device health, perform root-cause analysis on algorithm failures, build post-processing AI services and internal tooling, and collaborate with device, cloud, and algorithm teams to improve production performance.

Design and implement automated and manual test fixtures, perform component-level failure analysis and debugging using oscilloscopes, multimeters, and protocol analyzers, produce detailed FA reports, and analyze RMA trends to recommend design or firmware improvements to increase field reliability.

As a Senior Software Engineer, you will optimize cloud-based ML operations and maintain code quality while collaborating with various teams.

The Senior State Estimation Engineer will develop and implement real-time pose estimation algorithms, collaborate on multidisciplinary projects, and mentor junior engineers, focusing on large-scale mapping and sensor calibration.

Lead end-to-end mechanical design and product architecture for vehicle-mounted, rugged AI hardware. Own sheet metal and structural design, perform FEA/vibration/thermal analyses, drive prototype-to-production, partner with cross-functional teams and suppliers, and support domestic and international pilot installations.

Lead electrical design and delivery of automotive-grade Edge AI computers and cameras from concept to production. Manage and mentor EE team, drive cross-functional collaboration, prototype and validate hardware, develop test plans, ensure regulatory compliance, partner with vendors and contract manufacturers, and keep projects on time and budget. Requires onsite presence in San Francisco.

Lead a team focused on developing mapping and SLAM solutions for embedded camera systems, ensuring collaboration across teams and managing project execution.