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Perception Engineer Remote Jobs (NOW HIRING)

The Pennsylvania State University

$76.70K - $129.50K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Develop and integrate autonomyrelated capabilities such as sensor fusion, perception, and embedded ...

General Motors

Staff Sensor Systems Engineer

Austin, TX · On-site +1

$189.30K - $290.70K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Work closely with software platform teams, vehicle integration, hardware teams, perception, and ...

General Motors

Staff Sensor Systems Engineer

Sunnyvale, CA · On-site +1

$189.30K - $290.70K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Work closely with software platform teams, vehicle integration, hardware teams, perception, and ...

General Motors

Staff Sensor Systems Engineer

Warren, MI · On-site +1

$189.30K - $290.70K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Work closely with software platform teams, vehicle integration, hardware teams, perception, and ...

Waymo

Sensor Placement and Analysis Engineer

Novi, MI · On-site +1

$196K - $242K/yr

Perception Fundamentals: A foundational understanding of how sensor data translates into perception ... remote, the specific salary range for your preferred location, during the hiring process. Waymo ...

General Motors

Staff Sensor Systems Engineer

Sunnyvale, CA · On-site +1

$189.30K - $290.70K/yr

Hybrid/Remote: If the candidate is within 50 miles of a GM Technical center, they will need to ... Work closely with software platform teams, vehicle integration, hardware teams, perception, and ...

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How much do perception engineer remote jobs pay per hour?

As of May 31, 2026, the average hourly pay for perception engineer remote in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.

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

To thrive as a Perception Engineer (Remote), you need a strong background in computer vision, machine learning, and sensor fusion, typically supported by a degree in computer science, robotics, or a related field. Proficiency in programming languages like Python and C++, experience with frameworks such as TensorFlow or PyTorch, and familiarity with tools like ROS are commonly required. Excellent problem-solving skills, effective communication, and the ability to work independently are vital soft skills for remote collaboration. These competencies are crucial for developing robust perception systems that enable autonomous technologies to interpret and interact with their environment accurately.

What are some common challenges Perception Engineers face when working remotely, and how can they be addressed?

Perception Engineers working remotely often encounter challenges such as limited access to physical hardware (e.g., sensors, robots, or vehicles) for testing algorithms, and difficulties in real-time collaboration with team members across different time zones. To address these issues, many remote teams rely on advanced simulation tools, cloud-based platforms for data sharing, and regular virtual meetings to ensure alignment. Building strong communication habits and leveraging remote debugging tools can also help maintain productivity and foster effective teamwork.

What does a Perception Engineer do?

A Perception Engineer designs and implements systems that allow machines, such as autonomous vehicles or robots, to interpret and understand their environment using sensors like cameras, LiDAR, or radar. They develop algorithms for object detection, classification, and tracking to enable real-time decision-making. Perception Engineers often work with machine learning, computer vision, and sensor fusion technologies to improve the accuracy and reliability of these systems. Working remotely, they collaborate with cross-functional teams using online tools and platforms. This role is critical in advancing autonomous systems and robotics.

What is the difference between Perception Engineer Remote vs Computer Vision Engineer?

AspectPerception Engineer RemoteComputer Vision Engineer
Required CredentialsBachelor's or higher in CS, Electrical Engineering, or related; experience with perception algorithmsBachelor's or higher in CS, Electrical Engineering, or related; strong programming skills in Python/C++
Work EnvironmentRemote, collaborative teams, often in autonomous vehicles, robotics, or AIRemote or on-site, working on image processing, object detection, and visual data analysis
Industry UsageAutonomous vehicles, robotics, AI startupsAutomotive, robotics, surveillance, and AI research

While both roles focus on perception and visual data, Perception Engineers Remote typically work on sensor data integration and perception algorithms in autonomous systems remotely, whereas Computer Vision Engineers focus more broadly on image processing and visual data analysis, often in research or product development settings.

More about Perception Engineer Remote jobs
What cities are hiring for Perception Engineer Remote jobs? Cities with the most Perception Engineer Remote job openings:
What are the most commonly searched types of Perception Engineer jobs? The most popular types of Perception Engineer jobs are:
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Perception Engineer Remote jobs near you
Infographic showing various Perception Engineer Remote job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $116,463 per year, or $56 per hour.
Staff TLM, Perception, Scene Understanding

Staff TLM, Perception, Scene Understanding

Waymo

San Francisco, CA • On-site, Remote

$251K - $310K/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.

The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the self-driving car, i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learn from large scale real-world data, (2) develop models and model training at scale, (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware.

In this hybrid role you will report to a Sr Staff Technical Lead Manager.

You will:

  • Own a specific domain within scene understanding, such as traffic controls or construction zones, and work with product and safety partners on short- and long-term improvements in support of Waymo's scaling goals
  • Lead the analysis of real-world scene understanding issues to develop technical roadmaps and drive the roadmap execution,
  • Build resilient and high performing teams through people development and hiring,
  • Make project staffing decisions, technical decisions, drive escalations; ultimately accountable for delivering projects.

You have:

  • Bachelors in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
  • 5+ years experience in Machine Learning and/or Computer Vision
  • 2+ years in managing ML engineering or research teams
  • Experience with Python
  • Experience with ML frameworks like PyTorch or JAX

We Prefer:

  • MS or PhD Degree in Machine Learning, Robotics, Computer Science or a similar discipline
  • Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI
  • Experience with C++
  • Experience with real-time system design

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
$251,000—$310,000 USD

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