Hayden AI Technologies

Staff Systems Engineer

Hayden AI Technologies$130K — $180K *
Transportation
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of systems engineering experience designing and deploying complex, integrated systems
  • Proven success leading technical projects from requirements and design through implementation and deployment
  • Strong understanding of hardware (sensors, networking, embedded devices) and software (systems integration, APIs, cloud services)
  • Excellent problem-solving, troubleshooting, and cross-functional communication skills
  • Demonstrated ability to write clear technical documentation and requirements
  • Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field

Responsibilities

  • Lead the architecture, requirements gathering, and system-level design of integrated hardware-software solutions
  • Drive end-to-end project execution, ensuring systems are delivered on-time and meet functional, operational, and quality targets
  • Collaborate with cross-functional teams to align priorities and resolve technical challenges
  • Interface with customers and internal stakeholders to translate operational requirements into actionable technical plans
  • Ensure deployment readiness by supporting installations, configuration, and integration in the field
  • Identify and troubleshoot system issues, root causes, and implement corrective actions
  • Document design decisions, interfaces, and lessons learned for future scalability
  • Contribute to process improvement across systems engineering and deployment practices

Benefits

  • Hybrid work schedule with at least 3 days in-office per week
Full Job Description
About the Role

As the Staff Systems Engineer, you will play a key technical leadership role in the design, integration, and deployment of complex, end-to-end systems that are essential to Hayden AI's mission of shaping smarter, more efficient cities. In this role, you will own the architecture, requirements gathering, and system-level design of integrated hardware-software solutions, driving projects from concept through deployment and support. You will report into the Engineering Leadership Team and work closely with hardware, software, operations, product, customer engineering, and field deployment teams. We're looking for someone with a deep background in systems engineering, proven project leadership experience, and a collaborative, solutions-driven mindset. This position is based in our SF Office and follows a hybrid schedule with at least 3 days in-office per week.

Key Responsibilities

Camera Development:
  • Partner with product, camera design and perception team to define camera architecture
  • Define specification for image sensor and lens
  • Work with ISP vendors and refine camera software for ISP tuning.

Sensor Selection & Integration:
  • Evaluate and select CMOS image sensors based on performance metrics such as dynamic range, SNR, and power consumption.

Optical Design & Selection:
  • Define specifications for custom and off-the-shelf lens and assemblies,
  • Engage with the vendors to source the lens parts, MTF testing and stray light analysis,
  • Match the sensor and lens for FOV optimization
  • Partner with vendors to design and source protective cover glass designs

Image Characterization:
  • Develop and execute rigorous testing protocols to characterize sensor performance and image quality in lab and real life use case scenarios (IQ).
  • Define and execute tests in controlled lab environments to measure and analyze MTF, SNR, dynamic range, and color accuracy.
  • Lead the integration of camera systems into test vehicles. You will perform real-world data collection, evaluating how vibration, motion blur, and varying lighting (tunnels, sunset, glare) affect system performance.
  • Act as the "Imaging Detective" for customer projects. You will analyze field-returned data to identify, reproduce, and debug complex image quality (IQ) issues or software regressions.

Cross-Functional Calibration:
  • Collaborate with software engineers to tune Auto-exposure, Auto-white balance algorithms and ensure the hardware-software handshake is seamless.
  • Work closely with the firmware team to validate camera drivers performance, ensuring the software stack correctly interprets the hardware's output.
Required Qualifications:
  • Deep understanding of lens design fundamentals, f-number, focal length, optical aberrations, Hands-on experience with image sensors, ISPs and Image tuning, 3A algorithms
  • Expert with industrial and automotive CMOS image sensors, technologies and sensors vendors
  • Good understanding of Sensor interfaces GMSL/MIPI/CSI,
  • Proficiency in C, Mathlab, Python, Imatest or similar for data analysis and IQ evaluation.
  • Ability to read schematics and use lab equipments IR meters, lux meters, light boxes
  • Experience in automating image characterization process and ISP tuning
  • MS or Phd in Science or Engineering with 8-10 years of experience in relevant space.

About Hayden AI Technologies

Hayden AI Technologies is a San Francisco-based company that develops AI-powered traffic management systems for smart cities. The company's technology uses computer vision and machine learning algorithms to analyze traffic patterns and optimize traffic flow in real-time. Hayden AI's solutions are designed to reduce congestion, improve safety, and enhance the overall quality of life in urban areas. The company was founded in 2019 by Chris Carson and is backed by investors such as Urban Innovation Fund and 8VC.
Learn more about Hayden AI Technologies
Size
50 employees
Industry
Founded
2019

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