Hayden AI

Full-stack Engineer

• Evolve the data platform leveraging AWS services such as Kinesis/Kafka, Glue, EMR, Lambda, and Redshift to support streaming, batch, and analytical workloads at scale.
• Design and implement robust data ingestion and transformation pipelines, ensuring reliability, performance, and schema consistency across diverse data sources.
• Establish and enforce data quality, validation, and observability standards, building automated checks and alerts using CloudWatch, Datadog and custom frameworks.
• Optimize data storage and lifecycle management through intelligent S3 partitioning, versioning, and lifecycle policies to balance performance, cost, and retention.
• Conduct regular performance, scalability, and cost-efficiency audits of data pipelines and warehouses, proactively identifying and resolving bottlenecks or inefficiencies.
• Ensure data reliability and resilience, implementing redundancy, checkpointing, and replay strategies for real-time and near-real-time data systems.
• Define and maintain data governance and security best practices, including IAM-based access control, encryption policies, and compliance with internal data standards.
• Collaborate with Data Science, ML, business and product teams to model multi-modal data effectively, enabling self-service analytics and high-impact insights across the organization.
• Instrument and monitor data infrastructure using CloudWatch, CloudTrail, and AWS Config, ensuring transparency, traceability, and operational health of data workflows.
• Lead root-cause analysis and incident response for data platform issues, driving long-term reliability improvements and knowledge sharing across teams.
• Stay current with AWS and data engineering advancements, evaluating new tools and services to continuously improve scalability, developer velocity, and data accessibility.
• Mentor other engineers and promote best practices in data architecture, pipeline design, and development across the engineering organization.

Senior Software Engineer, Data Platform

Operations

• Manage all aspects of NetSuite administration, including user setup, configuration, and ongoing maintenance.
• Optimize stock availability by managing inventory levels, replenishment, and allocation.
• Process sales orders efficiently and accurately, encompassing order entry, fulfillment, and shipment tracking.
• Facilitate seamless order processing and fulfillment by collaborating with cross-functional teams (sales, finance, warehouse).
• Utilize NetSuite for project management, including setup, budget tracking, and milestone monitoring.
• Develop and maintain clear documentation, SOPs, and training materials for NetSuite processes.
• Coordinate scheduling for installations, repairs, and maintenance, effectively communicating with both subcontractors and clients to ensure timely and efficient service delivery

Field Operations Coordinator

QA Automation Engineer

• Design, develop, and maintain end-to-end automated test suites for Frontend, APIs, data pipelines, and AWS cloud components.
• Build and manage test automation frameworks using Python, Pytest, or Java based tools (e.g., TestNG, RestAssured).
• Automate testing for AWS based microservices, ETL workflows, and monitoring systems while testing AWS data pipelines (Glue, Lambda, S3, Redshift) and API-based ingestion flows.
• Integrate automated tests with CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Validate data integrity and accuracy across InfluxDB, Redshift, and other data sources.
• Write and optimize SQL and time series queries to validate KPIs, metrics, and aggregated data.
• Create, validate, and maintain Grafana and Datadog dashboards for reporting, alerting, and trend analysis.

Senior Cloud QA Automation Engineer

People Operations

• Manage seamless onboarding and offboarding processes that reflect our culture and values.
• Coordinate with IT, Finance, and hiring managers to ensure all onboarding/offboarding logistics, including equipment, system access, and communications, run smoothly.
• Maintain accurate employee data in HR systems, ensuring compliance with company policy and employment regulations.
• Support audits, reporting, and documentation related to employment, immigration, and compensation compliance.
• Assist in administering compensation programs, including salary reviews and benchmarking efforts.
• Partner with People Leadership and Finance to ensure alignment with Radford leveling and market data.
• Plan, coordinate, and execute company-wide and team-level events, both virtual and in-person, that strengthen connection and culture.
• Lead logistics and coordination for All Hands meetings, including scheduling, agenda management, content collection, and post-event follow-up. Partner with internal stakeholders to manage event logistics, communications, and budgets.
• Support recognition and engagement initiatives that celebrate employee milestones and foster belonging.
• Lead or contribute to People Ops projects that improve efficiency, data accuracy, and the employee experience.
• Create and maintain process documentation, workflows, and playbooks.
• Identify opportunities for automation and system optimization.

People Ops Specialist

Communications

• Draft, edit, and produce a wide range of materials for both Hayden AI and our partners.
• Assist with planning, creating, and scheduling timely and engaging content for Hayden AI’s social media channels.
• Promote and develop Hayden AI’s brand in the technology sector by securing industry-related publicity opportunities.
• Coordinate with cross-functional internal teams and Hayden AI customers to create communications materials.
• Support public relations efforts by drafting press releases, pitching stories, and working with reporters to secure media coverage.

Marketing and Communications Specialist

Engineering Manager

• Oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement.
• Lead a team of computer vision and perception engineers to develop and refine the system in a hands-on manner.
• Spearhead the development of robust computer vision algorithms for object detection, tracking, semantic segmentation, and classification.
• Champion the development and training of deep learning models for complex urban scene perception and real-time analysis.
• Collaborate with cross-functional teams (cloud/device) for seamless integration and monitoring of perception models.
• Analyze data to identify performance bottlenecks and opportunities for enhancing the perception system.
• Foster automation in the improvement cycles of deep learning models used within the perception system.
• 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.

Senior Engineering Manager, Deep Learning

• Lead a high-performing team developing advanced mapping, localization, and SLAM solutions for embedded camera systems
• Oversee the research, development, and deployment of large-scale mapping and localization solutions
• Shape the technical roadmap and set technical direction and project priorities aligned with organizational goals
• Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams
• Provide technical guidance on algorithm design, system architecture, and implementation; ensure best practices in software development and performance optimization
• Foster a culture of innovation, technical rigor, and collaboration across the team
• Develop and maintain project roadmaps, milestones, and technical documentation
• Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration
• Review and approve designs, architectures, and implementations to ensure technical excellence and scalability
• Lead recruitment, hiring, and performance management to grow a world-class engineering team

Engineering Manager, State Estimation

• Hayden AI: harness computer vision to transform transit systems and government agency workflows
• Build next-generation product enforcing School Bus Stop safety; develop edge-based vehicle detection and tracking AI models
• C++ software engineering generalist role delivering high-quality C++ code running on edge devices
• Build and improve accuracy of ML/CV models and refine open-source models for Hayden-specific problems
• Collaborate with Product Management to translate customer needs into software solutions
• Work in an ambiguous, fast-paced startup environment during organizational scale-up
• Deliver well-designed and well-tested code that can be shared across the organization
• Deliver rigorously tested, bullet-proof C++ code
• Iterate on real-time vehicle tracking and license plate reading systems
• Refine and optimize cloud-side image and video processing
• Deep dive into performance optimization, focusing on algorithms for the Nvidia Jetson architecture
• Enhance infrastructure and tooling for performance analysis to ensure efficient development cycles