Haydenai

Haydenai

Staff Systems Engineer

San Francisco HQ Office · Staff+

Sponsorship not specifiedDetected 13 days ago
PythonAlgorithmsData AnalysisComputer VisionSystems EngineeringLeadership

About the role

  • 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.

Responsibilities

  • Partner with product, camera design and perception team to define camera architecture
  • Optical Design & Selection:
  • Partner with vendors to design and source protective cover glass designs
  • Develop and execute rigorous testing protocols to characterize sensor performance and image quality in lab and real life use case scenarios (IQ).

Requirements

  • Deep understanding of lens design fundamentals, f-number, focal length, optical aberrations, Hands-on experience with image sensors, ISPs and Image tuning, 3A algorithms
  • 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.

Company info

  • At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
  • From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

This listing is sourced directly from Haydenai's careers page and normalized into a canonical job model.