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Driver Lens Jobs in California (NOW HIRING)

Staff Systems Engineer

San Francisco, CA · On-site

$185K - $240K/yr

... 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 ...

Looking at work through a lens of safety, you care deeply about the safety of fellow team members ... driver experience, with current certification (Required) * Experience with warehouse management ...

Looking at work through a lens of safety, you care deeply about the safety of fellow team members ... driver experience, with current certification (Required) * Experience with warehouse management ...

... contact lens portfolio, including ULTRA, Biotrue ONEday, INFUSE, and our innovative e-commerce ... Must have and maintain a valid driver's license with a driving record that meets company standards.

... contact lens portfolio, including ULTRA, Biotrue ONEday, INFUSE, and our innovative e-commerce ... Must have and maintain a valid driver's license with a driving record that meets company standards.

... contact lens portfolio, including ULTRA, Biotrue ONEday, INFUSE, and our innovative e-commerce ... Must have and maintain a valid driver's license with a driving record that meets company standards.

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Driver Lens information

What is the difference between Driver Lens vs Delivery Driver?

AspectDriver LensDelivery Driver
Required CredentialsDriver's license, possibly specialized licensesDriver's license, vehicle insurance
Work EnvironmentVaries; includes commercial, industrial, or specialized settingsPrimarily on-road, delivering goods or food
Employer & Industry UsageUsed in logistics, transportation, and fleet managementCommon in food, retail, and courier services
Search & Comparison IntentUnderstanding roles, qualifications, and job scopeJob opportunities, routes, and delivery specifics

Driver Lens and Delivery Driver roles both involve operating vehicles, but Driver Lens often refers to a broader perspective or specialized driving roles within various industries. Delivery Drivers focus specifically on transporting goods or food to customers. While both require a valid driver's license, Driver Lens may involve additional skills or certifications depending on the industry. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

What are the key skills and qualifications needed to thrive as a driver lens, and why are they important?

To thrive as a Driver Lens (typically known as a professional driver), you need a valid driver's license, strong driving skills, and a clean driving record. Familiarity with GPS navigation systems, vehicle maintenance basics, and, in some cases, a commercial driving certification (such as CDL) are often required. Excellent communication, time management, and customer service skills help drivers interact effectively and manage schedules. These abilities ensure safety, reliability, and positive experiences for clients or employers.

What is a driver lens?

Driver Lens are advanced camera systems or sensors used in vehicles to monitor driving behavior, enhance safety, and assist drivers with navigation or collision avoidance. These systems can include features such as lane detection, object recognition, and driver fatigue monitoring. Driver Lens technology is commonly found in modern cars and commercial fleets to improve road safety and provide real-time data to both drivers and fleet managers.

What are some common challenges drivers with a commercial lens license face on the job, and how can they be managed?

Drivers with a commercial lens license often face challenges such as navigating heavy traffic, maintaining schedules despite unforeseen delays, and adhering to strict safety regulations. Managing fatigue during long shifts and handling difficult weather conditions are also common hurdles. To overcome these challenges, drivers typically rely on thorough route planning, regular vehicle maintenance, and effective communication with dispatch and logistics teams. Additionally, ongoing safety training and time management skills help ensure smooth operations and job satisfaction.
What are popular job titles related to Driver Lens jobs in California? For Driver Lens jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Driver Lens jobs? Cities in California with the most Driver Lens job openings:
Infographic showing various Driver Lens job openings in California as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 29% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Staff Systems Engineer

Hayden AI

San Francisco, CA • On-site

$185K - $240K/yr

Full-time

Re-posted 18 days ago


Job description

About Us
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.
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.