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Remote Perception Jobs in California (NOW HIRING)

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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 are popular job titles related to Remote Perception jobs in California? For Remote Perception jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Perception jobs in California look for? The top searched job categories for Remote 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:
Remote Perception jobs near you
Senior Staff Technical Lead Manager, Perception Optimization

Senior Staff Technical Lead Manager, Perception Optimization

Waymo

Mountain View, CA • On-site, Remote

$298K - $368K/yr

Other

Posted 13 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.

Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you're a software engineer or researcher who's curious and passionate about Level 4 autonomous driving, we'd like to meet you.

The Sensor Foundations Team's purpose is to provide cleaned-up sensor data through highly optimized APIs to Perception models, to abstract sensor hardware differences where possible, and to provide low-level Perception signals either through algorithms or machine learning. Projects on our team typically require a diverse skill set, including robotics, system integration, code optimization, and machine learning. We have a good understanding of the hardware (both sensors and compute) and the overall Perception system.

The Optimization sub-team uses our know-how of CPUs, GPUs, and clever algorithms to process Waymo's sensor data super-fast and feed it to the Perception ML models. We specialize in low-level understanding of compute hardware, and we apply that knowledge wherever we can, throughout the whole stack. We are looking for a Tech-Lead Manager with a CPU, GPU, or system-level optimization background to lead this small team of Software Engineers. Depending on your prior experience, you may also be responsible for system-level optimization and be a steward of our compute resources.

This role follows a hybrid work schedule and reports to the TLM of the Sensor Foundations team.

You will:

  • Lead a small team of optimization experts
  • Identify system-level optimization opportunities
  • Optimize existing CPU code
  • Write and review CUDA code
  • Collaborate with ML practitioners to understand their input-processing needs.
  • Be a steward of our compute resources

You have:

  • B.Sc in Computer Science, Mathematics or a related field
  • 8+ years of industry experience
  • Strong C++ programming skills
  • Experience with optimizing CPU or GPU code (ideally both)
  • Prior people management experience

We prefer:

  • M.Sc or PhD in Computer Science, Mathematics or a related field
  • Experience with system-level optimization
  • Experience with compiler 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
$298,000—$368,000 USD

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