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Remote Perception Jobs in California (NOW HIRING)

Systems Engineer, Perception

San Francisco, CA · On-site +1

$196K - $248K/yr

Use your knowledge of perception systems combined with Waymo's safety and business targets to ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Systems Engineer, Perception

Mountain View, CA · On-site +1

$196K - $248K/yr

Use your knowledge of perception systems combined with Waymo's safety and business targets to ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

Senior System Test Engineer, Perception

San Diego, CA · On-site +1

$110K - $151K/yr

... when remote assistance is needed, across multiple platforms and in support of rapid ... perception or robotic systems * Experience with software development for robotics OR experience ...

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Remote Perception information

What is the difference between Remote Perception vs Remote Customer Support Agent?

AspectRemote PerceptionRemote Customer Support Agent
Required CredentialsTypically no formal credentials, but strong communication skills preferredHigh school diploma or equivalent; customer service experience often required
Work EnvironmentRemote, often flexible hours, focus on perception and understandingRemote, scheduled shifts, focus on assisting customers via chat, email, or phone
Industry UsageUsed in fields like psychology, marketing, and research to assess perceptions remotelyCommon in retail, tech, and service industries for customer support roles

Remote Perception involves understanding and analyzing perceptions remotely, often in research or psychological contexts. Remote Customer Support Agents focus on assisting customers with products or services. While both roles are remote, they differ in purpose, required skills, and industry application.

What is remote perception in the context of jobs?

Remote perception refers to the use of advanced sensors, cameras, and data processing technologies to remotely sense, interpret, and understand environments or objects from a distance. In job contexts, professionals working in remote perception may develop or operate systems that gather information about physical spaces without being physically present, commonly used in fields like robotics, autonomous vehicles, environmental monitoring, and security. These roles often require expertise in computer vision, machine learning, signal processing, or related disciplines. Remote perception enables safer and more efficient operations by allowing data collection and analysis in hard-to-reach or hazardous locations.

What are the key skills and qualifications needed to thrive as a Remote Perception Engineer, and why are they important?

To thrive as a Remote Perception Engineer, you need expertise in computer vision, sensor fusion, and machine learning, typically supported by a degree in computer science, robotics, or a related field. Familiarity with tools such as ROS (Robot Operating System), OpenCV, and LiDAR/CAM sensor systems, as well as experience in C++ or Python, is crucial. Strong problem-solving skills, effective teamwork, and the ability to communicate complex technical concepts clearly help you stand out in this role. These skills ensure accurate environmental interpretation and reliable system performance in autonomous or robotics applications.

How does a Remote Perception Engineer typically collaborate with cross-functional teams to integrate sensor data into autonomous systems?

Remote Perception Engineers regularly work alongside software developers, hardware engineers, and data scientists to ensure seamless integration of sensor data—such as LiDAR, radar, and cameras—into autonomous systems. Collaboration often involves participating in agile sprints, sharing insights during daily stand-ups, and troubleshooting integration issues as a team. Open communication and documentation are key, as teams rely on each other's expertise to refine perception algorithms and validate system performance. This collaborative environment fosters professional growth and helps engineers stay current with rapidly evolving technologies.
What are the most commonly searched types of Perception jobs in California? The most popular types of Perception jobs in California are:
What cities in California are hiring for Remote Perception jobs? Cities in California with the most Remote Perception job openings:
Systems Engineer, Perception

Systems Engineer, Perception

Waymo

San Francisco, CA • On-site, Remote

$196K - $248K/yr

Other

Posted 4 days ago


Job description

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.

Waymo's Systems Engineering team works together to blend software and hardware systems in groundbreaking new ways. We set the high performance standards that ensure our vehicles run smoothly and keep passengers safe, then design and perform the tests that validate that performance. We're looking for talented teammates who'll help us maintain strong teamwork and are passionate about driving results.

This role follows a hybrid work schedule and you will report to a Staff Systems Engineer.

You will:

  • Use your knowledge of perception systems combined with Waymo's safety and business targets to propose requirements based on statistical, risk based arguments.
  • Lead the qualification of perception software systems that are a key part of Waymo's driverless software release.
  • Drive consensus on those requirements within the software and hardware teams.
  • Develop reusable, high-quality analysis and evaluation tools based on simulation and fleet data.
  • Use these and existing tools to design, debug, and execute tests.
  • Communicate recommendations and results of your analysis in technical reports and presentations to peers and leadership

You have:

  • An advanced degree in Computer Science, Robotics, Engineering or other relevant technical field OR 4 years of practical experience involving perception or robotic systems
  • Experience in software engineering for simulation and data evaluation, using Python or other high level language (e.g. SQL, R, C++)
  • Comfortable juggling multiple projects at once and thriving in ambiguity
  • Experience managing projects with multiple contributors and stakeholders
  • Excellent technical communication and writing skills.

We prefer:

  • Experience with Systems Engineering fundamentals, including requirements definition and verification and validation techniques.
  • Experience with perception systems for robotics or autonomy, including work with lidar, camera, and/or radar sensor data
  • Experience with testing safety-critical systems.
  • Experience with C++
  • Experience with developing and/or testing machine learning/computer vision/AI systems.

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
$196,000—$248,000 USD