Senior Systems Engineer - Imaging & Camera Hardware

haydenai; San Francisco (CA); Hybrid; USD 170,000 - 210,000; Full time

Job summary

Hayden AI in San Francisco develops end-to-end perception systems for transit and government use. We seek a Staff Systems Engineer to own architecture, requirements, and system design of hardware-software solutions from concept to deployment.

Based in our SF office with a hybrid schedule (3 days in-office per week), you will lead cross-functional teams across hardware, software, operations, product, and customer engineering to deliver robust imaging systems.

Qualifications

• Deep understanding of lens design fundamentals and image sensors.
• Experience with CMOS image sensors, ISPs, and image tuning.
• Proficiency with sensor interfaces GMSL/MIPI/CSI.
• Strong programming skills in C, MATLAB, Python for data analysis and IQ evaluation.
• Ability to read schematics and operate lab equipment (IR meters, lux meters).

Responsibilities

• Define camera architecture with product, camera design and perception teams.
• Evaluate and select CMOS image sensors based on performance metrics.
• Define specifications for custom and off-the-shelf lenses and assemblies.
• Lead integration of camera systems into test vehicles and collect real-world data.
• Collaborate with software to tune Auto-exposure and Auto-white balance; validate camera drivers.

Skills

Lens design fundamentals

CMOS image sensors

ISPs & image tuning

3A algorithms

Sensor interfaces (GMSL/MIPI/CSI)

C, MATLAB, Python

Reading schematics & lab instruments

Image characterization automation

Education

MS or PhD in Science or Engineering

Tools

Imatest

Job description

Hayden AI in San Francisco develops end-to-end perception systems for transit and government use. We seek a Staff Systems Engineer to own architecture, requirements, and system design of hardware-software solutions from concept to deployment.

Based in our SF office with a hybrid schedule (3 days in-office per week), you will lead cross-functional teams across hardware, software, operations, product, and customer engineering to deliver robust imaging systems.