Hayden AI

Electrical Engineer

• Lead electrical design of Edge AI products including but not limited to Automotive grade Edge AI computers and cameras while driving innovation and excellence.
• Champion collaboration cross functionally with mechanical, test, regulatory, manufacturing and installation teams by navigating the design from concept to launch.
• Develop product specifications, design circuits, perform design reviews and improve design.
• Generate working prototypes for proof of concept and customer demonstrations.
• Lead hands on involvement with building, debugging, and maintaining product builds.
• Develop test plans and processes, execute testing and guide validation of new designs.
• Own the electrical design part of the Edge AI system projects, strive for performance and improvements, seek out opportunities to make things work better - it's about continuous improvement.
• Ensure deliverables for the project are on track and stays within project budget.
• Partner with vendors and contract manufacturers to develop and manufacture electronic parts, modules and products.
• Work with the cross functional teams to get products certified for compliance.
• Lead and mentor electrical engineering team members, providing technical guidance, fostering professional development, supporting career growth, and ensuring high-quality execution across projects.

Manager, Electrical Engineering

Machine Learning Engineer

• Lead the research, development, and deployment of state-of-the-art deep learning models for perception of urban scenes in production environments.
• Architect and optimize complex machine learning systems for scalability, efficiency, and robustness, utilizing cloud-native technologies.
• Develop and implement training techniques such as data augmentation or model distillation pipelines to improve model robustness under diverse urban and environmental conditions.
• Explore and integrate novel multi-modal foundational AI models, including large Vision-Language Models (VLMs), and develop strategies for their effective fine-tuning and adaptation to specific domain challenges.
• Drive innovation in model compression, quantization, and efficient inference techniques to optimize performance for both cloud and edge device deployments.
• Collaborate with cross-functional teams to define machine learning roadmaps, evaluate new technologies, and contribute to the overall technical strategy.
• Conduct research, and evaluate emerging deep learning techniques applicable to perception and intelligent mobility.

Deep Learning Engineer II

Data Analyst

• Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs
• Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback
• Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.
• Serve as first responder for data discrepancy and freshness issues.
• Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.
• Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.
• Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Events

• Maintain a high level of code quality through code review and documentation
• Optimize machine learning operations with robust systems and by collaborating across teams
• Expand capabilities of event pipeline to satisfy both general and client specific needs
• Reduce cost of doing business with by optimizing usage of cloud resources, especially GPUs

Senior Software Engineer, Events

Manager

• Serve as the primary point of contact for all facilities-related requests, managing the Facilities email inbox and triaging issues from employees and vendors in a timely manner.
• Oversee day-to-day operations of the SF headquarters and support the NYC, New Jersey and LA Offices, ensuring all locations are safe, clean, well-stocked, and functioning at all times.
• Manage kitchen and office supply procurement, including oversight of the company Amazon Business account; monitor spend and identify cost-saving opportunities.
• Maintain office equipment, furniture, and common areas; coordinate repairs and maintenance with vendors and building management.
• Manage employee badge and access control systems, including onboarding/offboarding access, troubleshooting, and coordination with IT.
• Source, onboard, and manage vendor and contractor relationships across cleaning, maintenance, security, catering, and other facility services.
• Oversee the company vehicle fleet, including scheduling maintenance, managing registrations, insurance, and compliance requirements.
• Track vehicle usage, mileage, and condition; coordinate repairs and inspections with vendors and service providers.
• Establish and enforce vehicle use policies, ensuring safe and appropriate use by employees.
• Negotiate service agreements and ensure vendors are delivering against SLAs and within budget.
• Maintain and update emergency preparedness plans, including evacuation procedures and incident response protocols.
• Directly manage and develop one Office Specialist, providing day-to-day guidance, prioritization support, and ongoing feedback.

Facilities Manager

Hardware Engineer

• Design, develop, and maintain Linux kernel device drivers for cameras, sensors, networking, and custom hardware peripherals
• Own Linux kernel bring-up and platform enablement on embedded ARM64 systems (e.g., NVIDIA Jetson platforms)
• Debug and resolve complex issues across kernel space, drivers, and hardware interactions (timing, interrupts, DMA, memory)
• Develop and optimize high-throughput data paths (e.g., camera pipelines, CSI, ISP, video encode/decode)
• Work closely with hardware teams to support board bring-up, hardware validation, and signal-level debugging
• Implement and maintain driver support for peripherals such as GNSS, IMU, LTE/5G modems, CAN, and storage devices

Senior Firmware Engineer

Systems Engineer

• Serve as the primary escalation point for complex, high-impact incidents that exceed standard field support scope.
• Perform deep-dive investigations into hardware, software, firmware, and network failures, delivering structured post-mortems with corrective action plans that drive permanent resolution.
• Partner with Product and Engineering teams to design and implement targeted enhancements that address recurring field issues at scale.
• Author runbooks, decision trees, and diagnostic workflows that empower Tier 1 and Tier 2 teams, and maintain a living knowledge base that evolves with the product.
• Oversee the end-to-end transition of newly installed units into active production, validate production readiness and coordinate activation before units go live on customer fleets.
• Support and execute the staged software and firmware updates across production and pilot fleets, monitoring post-deployment behavior and leading rapid response if regressions are detected.
• Act as the engineering bridge between Field Operations, Product, and Engineering — translating field feedback and failure patterns into hardware/software improvements.
• Deliver training sessions and technical briefings to field technicians and support staff to continuously raise the technical baseline across the organization.

Systems Engineer, Field Services

Engineer

• Contribute to high impact, multidisciplinary projects across teams
• Program and develop software in C++ and/or python
• Derive and implement novel, real-time pose estimation algorithms
• Research, develop and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration and/or vision-based localization
• Collaborate with deep learning, device, and cloud teams to improve overall system architectures
• Provide mentorship to our junior engineers

Senior State Estimation Engineer

Technical Program Manager

• Own the company-level program portfolio — maintaining a single source of truth for commitments, capacity, dependencies, and status across all active lines of work.
• 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.
• Design and maintain the dashboards, cadences, and reporting frameworks that give the senior leadership clear, accurate visibility into portfolio health without noise.
• 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.
• 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.

Principal Technical Program Manager

QA Engineer

• Own end-to-end pilot and launch execution across multiple concurrent deployments, including goal definition, readiness validation, go/no-go decisions, and the transition from pilot to full fleet production rollout.
• Monitor device health and performance on a daily basis across all active pilots and production fleets, proactively identifying anomalies, failures, and performance degradation before they become critical blockers.
• Provide clear, consistent visibility into device status and deployment health to stakeholders through dashboards, reports, and structured communications.
• Track, report, and escalate issues promptly to the appropriate engineering, firmware, and operations teams, minimizing impact on launch timelines and ensuring rapid resolution of critical blockers.
• Coordinate closely with engineering, QA, operations, firmware, and product teams to resolve issues, align on priorities, and maintain launch readiness across all active deployments.
• Define and enforce launch readiness criteria, quality gates, and pilot success metrics to ensure reliable, repeatable deployment outcomes.
• Drive the transition from manual, reactive monitoring and reporting processes to an automation-first approach, implementing standardized workflows, automated alerting, and scalable reporting systems.
• Validate device stability, environmental reliability, and system performance before, during, and after deployments to support confident field operations.
• Perform root cause analysis on deployment and device issues, driving preventative actions and long-term improvements to launch quality and operational resilience.