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Remote Computer Imaging Jobs in California (NOW HIRING)

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Hands-on experience with computational imaging or computer vision * Familiarity with SQL or NoSQL ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

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Remote Computer Imaging information

What are the key skills and qualifications needed to thrive as a Remote Computer Imaging Specialist, and why are they important?

To thrive as a Remote Computer Imaging Specialist, you need a solid understanding of operating systems, disk imaging techniques, and network protocols, typically supported by IT certifications such as CompTIA A+ or Microsoft Certified: Modern Desktop Administrator Associate. Familiarity with imaging tools like Symantec Ghost, Microsoft Deployment Toolkit (MDT), or Clonezilla is essential for efficient system deployment and troubleshooting. Strong attention to detail, problem-solving skills, and effective remote communication are crucial soft skills for this role. These skills ensure accurate and secure deployment of computer systems, minimize downtime, and enable seamless support for distributed teams.

What are some common challenges faced by professionals in remote computer imaging, and how can they be addressed?

Remote computer imaging specialists often encounter challenges such as limited access to physical devices, network latency, and ensuring secure data transfer. To address these issues, professionals typically rely on robust remote management tools, clear communication with onsite staff, and thorough documentation of imaging procedures. Staying updated on best practices for remote deployment and troubleshooting, as well as collaborating closely with IT support teams, can help mitigate most operational hurdles.

What is remote computer imaging?

Remote computer imaging is the process of installing or deploying operating systems, software, and configurations onto computers over a network without needing physical access to the devices. IT professionals use specialized tools to create standardized images of systems, which are then sent and installed remotely, often to set up multiple machines efficiently. This method is commonly used in organizations to ensure consistency, save time, and streamline the setup or reconfiguration of computers, especially for remote or distributed teams.

What is the difference between Remote Computer Imaging vs Remote Desktop Support?

AspectRemote Computer ImagingRemote Desktop Support
Primary FocusCreating and deploying system images to multiple computersAssisting users with troubleshooting and resolving issues via remote access
Required SkillsImaging software, OS deployment, hardware configurationTroubleshooting, software installation, user support
Work EnvironmentIT departments, system administrators, enterprise settingsHelp desks, IT support teams, customer service
CertificationsCompTIA A+, Microsoft Certified: Modern Desktop AdministratorCompTIA A+, Microsoft Certified: Modern Desktop Administrator

Remote Computer Imaging involves creating and deploying system images across multiple devices, focusing on setup and deployment. Remote Desktop Support centers on assisting users with technical issues through remote access, emphasizing troubleshooting and user assistance. While both roles require similar certifications and work environments, their core responsibilities differ significantly.

What cities in California are hiring for Remote Computer Imaging jobs? Cities in California with the most Remote Computer Imaging job openings:
Software Engineer, Sensor/Imaging

Software Engineer, Sensor/Imaging

Waymo

Mountain View, CA • On-site, Remote

$204K - $259K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Software Engineer, Sensor/Imaging

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

Hardware Engineering is an innovative and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're seeking curious and talented teammates to keep us moving in the right direction.

This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Sensor Software Team.

You will:

  • Report into Sensor organization
  • Collaborate closely with multidisciplinary teams—including Sensor, Signal Processing, Perception, and System Engineering—to drive hardware/software co-optimization, providing concrete data and analysis across guide design trade-offs and component selection
  • Automate processing, analysis, reporting, and visualization of image data collected from lab setups and self-driving vehicles to enable fast, data-driven decisions on image quality tuning and system performance
  • Understand and evaluate internal and external quantitative image quality metrics, and apply them to guide improvements in sensor and ISP for downstream machine learning tasks
  • Design comprehensive Image Quality (IQ) test plans for new camera hardware and ISP (Image Signal Processor) pipeline, covering standard metrics and machine learning-specific criteria
  • Investigate and debug complex image quality issues, artifacts, and data anomalies across the entire imaging pipeline, from sensor physics through to machine learning inference

You have:

  • BS in Computer Science, Computer Engineering, Electrical Engineering, Math, or Physics (MS or PhD preferred for Math and Physics majors)
  • 5 years experience in production code software development in a complex, multiple team environment
  • Expertise in C++ and familiarity with Python
  • Familiarity with image signal processing SW and HW

We prefer:

  • Familiarity with the fundamentals of CMOS imaging sensors
  • Experience with image quality evaluation for both human visual perception and machine learning performance
  • Hands-on experience with computational imaging or computer vision
  • Familiarity with SQL or NoSQL databases for querying and analyzing large datasets of test results and vehicle logs
  • Experience with sensor testing and calibration procedures used in the sensor module manufacturing process
  • Familiarity with self-driving technology

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range $204,000—$259,000 USD